Multimedia: Perceptions and Use in Preservice Teacher...
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Multimedia: Perceptions and Use in Preservice Teacher Education
Lee Tennent B.A
Grad Dip Education (Early Childhood Teaching) M.Ed (Research)
A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy
Centre for Innovation in Education Queensland University of Technology
Brisbane, Queensland Australia
2003
Statement of original authorship
The work contained in this thesis has not been previously submitted for a
degree or diploma at any other higher education institution. To the best of my
knowledge and belief, the thesis contains no material previously published or written
by another person except where due reference is made.
Signed: _______________________________________________________________ Date: _______________________________________________________________
ACKNOWLEDGEMENTS
There are numerous people to whom I owe my sincere gratitude. Firstly, my
heartfelt thanks to Dr Kym Irving, my Principal Supervisor, and, Dr Donna
Berthelsen, my Associate Supervisor. Without their guidance, wisdom and expertise
this project would not have been possible.
Thanks must also be extended to Associate Professor Susan Wright, Director
of the Centre for Applied Studies in Early Childhood, for providing resources and
technical and moral support throughout my candidature, and to Margaret Kays for
her administrative assistance. Importantly, too, I am very grateful to the Australian
Government for my three-year Australian Postgraduate Award. At a time of single
parenthood, this financial support was much appreciated.
Needless to say, my project would not have been possible without the interest
and co-operation of many study participants. Thank you to the many academic staff
members from the Faculty of Education and to the hundreds of graduate teachers
who so willingly gave up their time to share their experiences and opinions with me.
I would also like to thank my postgraduate and work colleagues. I am
particularly grateful for the friendship and support provided throughout my
candidature by Petra, Rekha, Sue, Kerryann, Noelene, and Jenny. Cassie, too, will
always be remembered. My thanks also to several esteemed colleagues and friends,
namely, Dr Lisa Ehrich, Professor Brian Hansford and Dr Ann Farrell, for their
ongoing interest and confidence in me.
I am especially indebted to Professor Collette Tayler, my boss and Head of
the School of Early Childhood. Collette’s encouragement, advocacy, compassion,
and support have been instrumental in the completion of this project. Collette’s
strength, insight and enthusiasm have been an inspiration to me.
Thank you too, to my fabulous parents for their generosity, spiritedness and
unstoppable faith in me. Finally, a special thanks to my partner Pat, and my son Nick
for ensuring balance in my life and making every day a wonderful adventure.
ABSTRACT
Across the period in which this research was conducted, there has been an
increasing emphasis in government and university policies on the promotion of
technology integration in higher education. This emphasis has also become evident
in Commonwealth and State government policies relating to preservice teacher
education because of the need to ensure that teachers enter the profession with the
types of technological skills and competencies that can enhance teaching and
learning.
The research reported in this thesis describes the experiences and perceptions
of computer-based technologies from the perspective of academic staff and graduates
from two preservice teacher education courses in a Queensland university. The
research was conducted in two phases using a repeated cross-sectional longitudinal
design. In Phase 1 of the research conducted in 1997, and in Phase 2 in 2002,
questionnaires were used to gather data.
In Phase 1 of the research, participants comprised 43 academic staff members
involved in two preservice teacher education courses and 72 first or second year
graduate teachers from these courses. Items in the academic staff and graduate
teacher questionnaires elicited information on a range of issues related to the
technologies including knowledge and confidence levels, acquisition of knowledge,
current and future usage in teaching, advantages and disadvantages of teaching with
the technologies, the importance of the technologies to higher and preservice
education and the adequacy of preservice teacher education to prepare new teachers
to use technologies. Graduate teachers were also questioned about barriers to their
classroom use of technologies. Further questions for academic staff investigated the
existence of factors that facilitate usage of technologies and the degree to which the
presence or absence of these factors constituted barriers or incentives to technology
use. A number of questions also explored attitudes surrounding the valuing of
teaching, research and publishing.
Results from the first phase of research revealed that both academic staff and
new teachers made little use of technologies in their teaching. The most salient
barriers to academic staff technology use included lack of technical advice and
support, time, and lack of evidence of improved student learning and interest. There
was also a widely held perception among academic staff that teaching was not valued
by their university and that, in particular, innovation in teaching deserved greater
recognition. For graduate teachers, barriers to technology use included lack of
computers and resources, lack of school funding, and lack of knowledge and
training.
In Phase 2 of the research, participants comprised 40 academic staff members
and 123 graduate teachers from the same two preservice teacher education courses.
Participants were again questioned about knowledge and confidence levels,
acquisition of knowledge, current and future usage in teaching, and the adequacy of
preservice teacher education to prepare new teachers to use technologies. In light of
new research and building on findings from the first phase of data collection, several
new questions were added. These questions related primarily to the nature and
availability of training and how preservice teacher preparation in technology use
could be improved.
Results from the second phase of research indicated that, among academic
staff and graduate teachers, there had been considerable increases in knowledge and
confidence levels in relation to the technologies, along with increased levels of
usage. Both groups were also significantly more likely than their earlier counterparts
to report that preservice teachers were adequately or well prepared in the use of
technologies.
For graduate teachers, lack of equipment and resources were ongoing barriers
to technology use. Training in technology use appeared to be less of an issue for
graduate teachers than academic staff with most reporting access to, and satisfaction
with, inservice training opportunities. Encouraging too, was the finding that these
graduate teachers were significantly more likely than their 1997 counterparts to
attribute their knowledge of the technologies to preservice teacher education.
While positive change in technology use was evident across this period, continued
efforts to support and integrate technology in preservice teacher education remains
important, as does support for the innovative use of technology to promote learning
in schools.
Keywords: Computer-based technologies, multimedia, flexible delivery, computer-assisted instruction (CAI), the Internet, email, online teaching, audiographics, video conferencing, teleconferencing, higher education, preservice teacher education.
TABLE OF CONTENTS
Statement of original authorship ii
Acknowledgements iii
Abstract iv
List of Tables xii
List of Figures xv
CHAPTER 1 Introduction to the Research 1
Rationale for the Research 1
Research Design 5
Context of the Study 6
Scope of the Study 7
Definition of Terms 8
Research Purpose and Objectives 9
Organisation of the Thesis 11
CHAPTER 2 Background to Phase 1 Research 14
Introduction 14
Higher Education: A Time of Challenge 14
Technologies and Higher Education 16
Multimedia and Higher Education 18
Multimedia: Learner Issues 20
Multimedia: Unrealised Potential? 24
Technologies and Academic Staff 26
The Role of Change 33
Technologies and Teacher Education 37
Immediate Study Context 43
Summary and Questions Arising from the Literature 44
CHAPTER 3 Phase 1 (1997): Research Methodology 47
Introduction 47
Research Design 47
Method 50
Participants 50
Procedure 51
Measures 52
Analysis of Data 65
CHAPTER 4 Phase 1 (1997): Academic Staff
Experiences with Technology 67
Introduction 67
Background to Phase 1 67
Method 69
Participants and Procedure 69
Measurement 70
Data Analysis 70
Results 71
Demographic characteristics of respondents 71
Knowledge and use of technologies 71
The role of technologies in higher education 74
The role of technologies in preservice teacher education 75
Multimedia use in higher education 77
Incentives and barriers to multimedia use 82
Valuing of teaching 85
Discussion 86
CHAPTER 5 Phase 1 (1997): Graduate Teachers’
Experiences with Technology 91
Introduction 91
Background to Phase 1 91
Method 93
Participants and Procedure 93
Measurement 93
Data Analysis 94
Results 94
Demographic characteristics of respondents 95
Knowledge and use of technologies 95
The role of technologies in higher education 100
The role of technologies in preservice teacher education 102
Multimedia use in higher education 103
Discussion 107
CHAPTER 6 Background to Phase 2 Research 113
Introduction 113
Preface to Phase 2 113
Continued Impacts of Technology on Higher Education 113
Technology use in Teacher Education 118
Teacher Education – Developments 1997 to 2002 120
Teachers in Schools – Developments 1997 to 2002 123
Immediate Research Context 131
Summary and Questions Arising from the Literature 133
CHAPTER 7 Phase 2 (2002): Research Methodology 136
Introduction 136
Research Design 136
Method 136
Participants 137
Procedure 137
Measures 138
Analysis of Data 143
CHAPTER 8 Phase 2 (2002): Academic Staff
Experiences with Technology 145
Introduction 145
Background to Phase 2 145
Method 147
Participants and Procedure 147
Measurement 148
Data Analysis 149
Results 149
Demographic characteristics of respondents 150
Knowledge and use of technologies 151
The role of technologies in higher education 161
The role of technologies in preservice teacher education 163
Multimedia use in higher education 165
Valuing of teaching 169
Discussion 171
CHAPTER 9 Phase 2 (2002): Graduate Teachers’
Experiences with Technology 179
Introduction 179
Background to Phase 2 179
Method 182
Participants and Procedure 182
Measurement 182
Data Analysis 183
Results 183
Demographic characteristics of respondents 184
Knowledge and use of technologies 185
The role of technologies in higher education 196
The role of technologies in preservice teacher education 201
Discussion 204
CHAPTER 10 General Discussion and Conclusion 211
Introduction 211
Summary of Main Findings 211
Academic Staff 211
Graduate Teachers 215
Academic Staff and Graduate Teachers Compared 219
Issues Emerging from the Research 220
Issues for Academic Staff 220
Issues for Graduate Teachers 223
Advancing Teacher Education 227
Methodological Issues and Future Research Directions 230
Contributions to the Field 231
Conclusion 233
CHAPTER 11 Postscript 235
REFERENCES 251
APPENDICES
Appendix A. Phase 1 (1997) Academic Staff Questionnaire 271
Appendix B. Phase 1 (1997) Graduate Teacher Questionnaire 283
Appendix C. Phase 2 (2002) Academic Staff Questionnaire 292
Appendix D. Phase 2 (2002) Graduate Teacher Questionnaire 299
Appendix E. Tables of Academic Staff Findings 306
Appendix F. Tables of Graduate Teacher Findings 313
LIST OF TABLES
2.1 Old and New Paradigms for Higher Education 15
3.1 1997 Academic Staff Questionnaire Sections
and Literature Support 61
3.2 1997 Graduate Teacher Questionnaire Sections
and Literature Support 65
Academic Staff Findings: 1997
4.1 Usage of Technologies for Teaching and
Non-Teaching 74
4.2 Reasons for Preparation in the Use of Technologies 76
4.3 Preferred Teaching Strategy 78
4.4 Advantages and Disadvantages of Using
Technologies in Higher Education 80
4.5 Facilitators to Multimedia Use 82
4.6 Incentives to Using Multimedia in Teaching 83
4.7 Barriers to Using Multimedia in Teaching 84
4.8 Personal and University Valuing of Teaching,
Research and Publishing 85
4.9 Recognition of Innovation in Teaching 86
Graduate Teacher Findings 1997
5.1 Use of Computer-Based Technologies for
Teaching and Non-Teaching 98
5.2 Advantages of Using Multimedia in Work 99
5.3 Disadvantages of Using Multimedia in Work 100
5.4 Barriers to Using Multimedia in Work 100
5.5 Academic Staff Use of Technologies 101
5.6 Adequacy of Preparation in Technology Use 103
5.7 Preferred Teaching Strategy 105
5.8 Advantages Associated with Technology Use
in Higher Education 106
5.9 Disadvantages Associated with Technology Use
in Higher Education 107
6.1 Academic Staff Reports of Knowledge and
Use of Technologies – 1995 and 2000 116
6.2 Very to Critically Influential Factors in
the Use of technologies 117
6.3 Models of ICT Integration in Teacher Education Programs 127
7.1 2002 Academic Staff Questionnaire Sections and
Literature Support 140
7.2. 2002 Graduate Teacher Questionnaire Sections and
Literature Support 143
Academic Staff Findings 1997 and 2002
8.1 Demographic Characteristics of Respondents:
1997 and 2002 151
8.2 Ranking of Preferred Method of Training 152
8.3 Adequacy of Preparation in Technology Use:
1997 and 2002 163
8.4 Suggested Improvements to Technology Preparation
164
8.5 Incentives to Using Multimedia in Teaching:
1997 and 2002 166
8.6 Barriers to Using Multimedia in Teaching:
1997 and 2002 167
8.7 Personal and University Valuing of Teaching,
Research and Publishing: 1997 and 2002 170
8.7 Influence of Greater Recognition of Technology
Use: 1997 and 2002 170
Graduate Teacher Findings 1997 and 2002
9.1 Demographic Characteristics of Respondents:
1997 and 2002 184
9.2 Perceived Training Needs 186
9.3 Classroom Activities Using Technologies 187
9.4 Barriers to Classroom Use of Technologies 188
9.5 Academic Staff Use of Technologies: 1997 and 2002 197
9.6 Adequacy of Preparation in Technology Use:
1997 and 2002 202
9.6 Suggested Improvements to Technology Preparation
203
Postscript
11.1 1997 and 2002 Study Participants
LIST OF FIGURES
1.1 Conceptual Framework of the Study 10
Academic Staff Findings
8.1 Knowledge Levels for Conferencing Technologies:
1997 and 2002 154
8.2 Confidence Levels for the Internet: 1997 and 2002 155
8.3 Confidence Levels for Email: 1997 and 2002 155
8.4 Knowledge Development of Internet from
Work-Based Training: 1997 and 2002 156
8.5 Knowledge Development of Email from
Work-Based Training: 1997 and 2002 157
8.6 Knowledge Development of Internet from
Being Self-Taught: 1997 and 2002 157
8.7 Knowledge Development of Email from
Being Self-Taught: 1997 and 2002 158
8.8 Frequency of Use of Multimedia in Teaching:
1997 and 2002 159
8.9 Frequency of Use of Conferencing Technologies
in Teaching: 1997 and 2002 159
8.10 Frequency of Use of the Internet in Teaching:
1997 and 2002 160
8.11 Frequency of Use of Email in Teaching:
1997 and 2002 160
8.12 Preferred Future Usage of the Internet in Work:
1997 and 2002 162
8.13 Preferred Future Use of Email in Work: 1997 and 2002 162
8.14 Adequacy of Preparation in Technology Use:
1997 and 2002 165
8.15 Extent of Barrier – Lack of Evidence
of Improved Learning: 1997 and 2002 168
8.16 Extent of Barrier – Difficulty Integrating
into Subject: 1997 and 2002 169
8.17 Ranking of Personal Valuing of Research:
1997 and 2002 171
Graduate Teacher Findings
9.1 Knowledge Levels for Multimedia: 1997 and 2002 189
9.2 Knowledge Levels for the Internet: 1997 and 2002 190
9.3 Knowledge Levels for Email: 1997 and 2002 190
9.4 Multimedia Knowledge Development from
Preservice Teacher Education: 1997 and 2002 191
9.5 Internet Knowledge Development from
Preservice Teacher Education: 1997 and 2002 191
9.6 Email Knowledge Development from
Preservice Teacher Education: 1997 and 2002 192
9.7 Confidence Levels for Use of Multimedia:
1997 and 2002 193
9.8 Confidence Levels for Use of the Internet:
1997 and 2002 193
9.9 Confidence Levels for Use of Email: 1997 and 2002 194
9.10 Use of the Internet in Class: 1997 and 2002 194
9.11 Use of Email in Class: 1997 and 2002 195
9.12 Anticipated Future Use of Multimedia:
1997 and 2002 195
9.13 Academic Staff Use of Multimedia in Teaching:
1997 and 2002 198
9.14 Academic Staff Use of Conferencing Technologies
in Teaching: 1997 and 2002 198
9.15 Academic Staff Use of the Internet in Teaching:
1977 and 2002 199
9.16 Academic Staff Use of Email in Teaching:
1997 and 2002 199
9.17 Use of Multimedia by Self at University:
1997 and 2002 200
9.18 Use of the Internet by Self at University:
1997 and 2002 200
9.19 Use of Email by Self at University: 1997 and 2002 201
9.20 Adequacy of Preparation in the Use of
Technologies: 1997 and 2002 204
10.1 Study Purpose and Outcomes 229
1
CHAPTER 1
INTRODUCTION TO THE RESEARCH
The following research report describes a two-phase longitudinal study of
graduates and academic staff from a faculty of education at a Queensland university.
The first phase of research was conducted in 1997, the second in 2002. The study
explored issues related to the use of computer-based technologies in education and
changes in these issues over time. Underpinning the study was the belief that the
successful integration of technology is largely contingent upon the perceptions and
beliefs of those expected to embrace it. Understanding of these perceptions is essential if
universities are to meet the needs and expectations of preservice teachers but remain
sensitive to the concerns and priorities of teaching staff. Findings from the research can
help to inform policy decisions at universities regarding the integration of computer-
based technologies such as multimedia in preservice teacher education courses. Findings
from the study may also inform education policy related to the skills required of teachers
within school programs.
This chapter provides an introduction to the program of research. It begins by
introducing the main premise of the research and briefly examines the issues that were
central to the research at the time of the two research phases. It also highlights the
changes or developments that had occurred throughout this five-year period. The
chapter then describes the research design that underpinned the two phases of the study,
outlines the immediate context and scope of the research and defines the key terms used
throughout the thesis. Following this, the research purposes and objectives are stated.
The chapter concludes by describing the organisation of the thesis.
Rationale for the Research At the time of the first phase of research, the need to examine issues
related to the use of computer-based technologies stemmed from the likelihood that
these technologies would play a growing role in the delivery of university education.
Universities around the world were recognising that new technologies could facilitate
changes to learning environments that offered students flexibility in terms of how, when,
and where they learned (Moran, 1995). Competition between universities for students
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was increasing (AVCC Issues Paper, 1996; Hesketh, Gosper, Andrews, & Sabaz, 1996),
and attracting sufficient numbers of them could well be contingent upon how
successfully the educational needs of these new 'clients' were met. Reduced funding and
increased competition dictated that institutions of higher education were confronted with
many challenges. Several educationalists believed that the key to viability lay in the
widespread integration of computer-based technologies such as multimedia (Fyfe &
Fyfe, 1994; Mazzarol & Hosie, 1996). At the time, writers and researchers maintained
that multimedia technology could not only provide a cost effective and flexible
alternative for the delivery of higher education, it could also enhance learning (Fyfe &
Fyfe, 1994; Mazzarol & Hosie, 1996) through a variety of benefits including increased
interactivity (Simpson, 1994), and feelings of control (Felix & Askew, 1996; Massy &
Zemsky, 1995; McLoughlin & Oliver, 1995).
Technologies such as multimedia were also seen to have special significance for
teacher education because of the growing expectation that teachers must be
technologically literate in order to provide relevant instruction in schools. Many argued
that it was the responsibility of teacher education programs to produce graduates who
were confident and competent users of technology (Gabriel & McDonald, 1996;
Handler, 1993; Lyons & Carlson, 1995; Oliver, 1994; Thompson & Schmidt, 1994).
Because students needed to see technology modelled for them by their teachers (Davis,
Willis, Fulton, & Austin, 1995), teacher educators faced mounting pressure to be skilled
in the use of a range of technologies in order that these skills were passed on to
prospective teachers in school systems.
Despite this expectation, reports from new teachers indicated that technologies
were greatly under-utilised in preservice teacher education (Colon, Willis, Willis, &
Austin., 1995; Gabriel & MacDonald, 1996; Handler, 1993; Huang, 1994; Oliver, 1994;
Spotts & Bowman, 1995; Willis, Willis, Austin, & Colon, 1995). Studies revealed that
many new teachers regarded their preservice training in the use of technologies to be
inadequate (Colon et al., 1995; Oliver, 1994; Topp, Mortensen & Grandgenett, 1995)
and felt uncomfortable using technology in their classrooms (Handler, 1993; Hochman,
Maurer, & Roebuck, 1993).
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In higher education, explanations for low rates of technology use by academic
staff remained nebulous due to the dearth of studies in the area (Spotts & Bowman,
1995). While many writers blamed conservative or negative faculty attitudes (Benavides
& Surry, 1995; Forgo & Koczka, 1996; Heron, 1996; Massy & Zemsky, 1995; Murphy,
1994), some studies revealed that technology use was impeded by a range of factors
including lack of time, training, equipment, resources and higher managerial support
(Davis, Willis, Fulton & Austin, 1995; Lyons & Carlson, 1995; Spotts & Bowman,
1993; Spotts & Bowman, 1995; Wetzel, 1993). In addition, research in Australia, the
United Kingdom and the United States suggested that lack of recognition, rewards or
incentives may be hindering technology use (Davis et al., 1995; Hesketh et al., 1996;
Ramsden & Martin, 1996; Willis et al., 1995).
By the time the second phase of research was conducted in 2002, the literature
indicated that substantial changes had occurred. Technology continued to be both a
source and agent of change within university environments because of pressure on staff
to deal with their workloads in different ways. Reduced government funding, increased
sizes and numbers of classes, larger marking loads and growing administrative tasks had
become ‘the norm’ (Nunan, George & McCausland, 2000). The changes, noted
Marginson (2000), were reshaping academic work and the academic profession who
were in danger of losing control of scholarship and research if they failed to engage
more fully in technology use.
Several studies since 1997 suggested that academic staff had indeed changed
their perceptions about, and usage of, technologies. There were indications that
academic staff were now more aware of the importance of technology in their teaching,
were more knowledgeable about technologies, and used technologies more frequently
than their earlier counterparts (Groves & Zemel, 2000). This increased knowledge and
use had occurred despite the persistence of barriers to technology use, particularly the
lack of evidence of improved learning outcomes, availability of administrative or
technical support, time to learn, and training (Groves & Zemel, 2000; Beggs, 2000).
Research also reflected an increasing awareness of the importance of effective
technology training with new insights suggesting that training is most effective when
provided by mentors (Cooper, 1999; Haile & Payne, 1999; Matthew, Callaway,
Letendre, Kimbell-Lopez, & Stephens, 2002; Vannatta, 2000). Some research also noted
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that those responsible for training must also have an understanding of pedagogical
issues (Strudler & Wetzel, 1999). At the time of the second study, literature continued to
support the notion that the manner in which universities placed value on teaching and
learning, as opposed to research endeavours, also impacted on the use by academics of
technology in their teaching (Spotts, 1999).
In relation to teachers in schools, at the time of the second phase of research,
studies conducted in Australia and overseas indicated that confidence with, and usage
of, technologies had increased (Russell, Finger & Russell, 2000; Williams, Coles,
Wilson, Richardson, & Tuson, 2000; Zhao, Byers, Mishra, Topper, Chen, Enfield,
Ferdig, Frank, Pugh, & Tan, 2001). However, there were growing concerns about the
nature of this usage with students. Research indicated that technologies were being used
for low-level, supplemental tasks such as drill-and-practice activities, word processing,
and educational games (Brush, Igoe, Brinkerhoff, Glazewski, Ku, & Smith, 2001;
Russell et al., 2000; Strudler & Wetzel, 1999; Willis, Thompson & Sadera, 1999). A
variety of studies also confirmed that barriers such as time, support, and resources
continued to thwart technology use (Dias, 1999; Franklin, Turner, Kariuki, & Duran,
2002; Rice, Wilson, & Bagley, 2001; Schrum 1999; Strudler, McKinney, Jones, &
Quinn, 1999; Williams et al., 2000) while some studies suggested that opportunities for
inservice training had grown. Whereas literature prior to 1997 pointed to a lack of
training, there was evidence that both the variety and availability of training
opportunities had increased dramatically in recent years (Hasselbring, Smith, Glaser,
Barron, Risko, Snyder, Rakestraw, & Campbell, 2000). What was now apparent was
that the nature of training required attention. New studies indicated that training dealt
more with word processing and operating systems than integrating technology across
the curriculum (Franklin, et al., 2002; McCannon & Crews, 2000; Williams et al.,
2000).
Since the first phase of research, some studies continued to endorse the benefits
of technology-specific units for optimum training in technology in preservice teacher
education (McRobbie, Ginns, & Stein, 2000; Whetstone & Carr-Chelman, 2001) as well
as faculty modelling of technology use in classes (Matthew et al., 2002; Pope, Hare, &
Howard, 2002). However, other research advocated a different approach based on
university and school partnerships. These partnerships feature a variety of strategies
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such as “expert” school teachers modelling the integration of technology, sharing
technology-rich lessons, demonstrating applications, providing practicum students with
hands-on technology use, and the development of one-on-one mentoring relationships.
The use of such strategies resulted in significant gains in technology integration skills
and confidence in using technology in the classroom (Dawson & Norris, 2000; Johnson-
Gentile, Lonberger, Parana, & West, 2000; Vannatta, 2000; Vannatta & O’Bannon,
2002).
Although these recent initiatives are encouraging, studies as late as 2002
indicated that many teachers were still unprepared to use technology in the classroom
(Hasselbring et al., 2000; Jerald & Orlofsky, 1999, Pope et al., 2002; Wright, 2001).
Furthermore, even when teachers did report feeling well prepared, they rarely attributed
their preparation to preservice education (Pope et al., 2002). Findings such as these
prompted Hasselbring et al. (2000) to conclude that technology training in preservice
teacher education programs was still insufficient to produce the kinds of changes that
are needed in today’s teachers in relation to the use of technology in their classrooms.
Research Design The research employed a survey methodology with two groups - academic staff
and graduate teachers. Surveys were conducted in 1997 and 2002. Thus, the research
could be described as longitudinal in design. Longitudinal research characteristically
involves subjects or cases that are the same or comparable from one period to the next,
collects data on items or variables on at least two occasions and compares that data over
time. This particular study utilised a repeated cross-sectional design in that it collected
data on a similar set of variables for two periods but involved comparable, rather than,
identical, cases. Menard (1991) notes that repeated cross-sectional designs allow for the
measurement of change for well-defined groups of cases as long as the cases are
comparable at the group level from one cross-section to the next. It is essential,
however, that sampling and administration of the data collection is strictly replicated at
each phase so as not to compromise the comparability of data.
While the strength of repeated cross-sectional research is its capacity to examine
trends in attitudes or behaviours over time, its limitations lie in its inappropriateness for
studying developmental patterns within cohorts and its inability to reliably determine
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causal order (Menard, 1991). However, as it was not the intention of this program of
research to identify developmental patterns or causal order, a repeated cross-sectional
longitudinal design was considered appropriate.
Context of the Study The context of this two-phase program of research was the Faculty of Education
at the Queensland University of Technology (QUT). This faculty is the largest provider
of education programs in Australia (QUT, 2002). At the time of data collection, the
Faculty comprised several departments. These departments work collaboratively to
provide a range of teacher education programs at undergraduate and postgraduate level.
At the time of the first phase of research, policy documents at QUT reflected a
growing interest in technology. For instance, of the six objectives documented in the
university-wide 1995-2000 Strategic Plan, two referred to technology, as did two of the
17 strategies designed to meet these objectives. Furthermore, one of the targets outlined
in this plan was, that by 1999, at least 10% of all first year undergraduate contact hours
would be computer-based on, or off, campus (QUT, 1995). In addition, to encourage
technology use in teaching, an initiative to allocate yearly funding to teaching and
learning projects utilising technology was also established (QUT, 1996) along with
policies promoting staff incentives to improve teaching (QUT, 1995). Surprisingly, there
were no specific policies within the Faculty of Education that related to fostering
preservice teachers’ technology skills nor were there were specific policies or initiatives
that related to equipping academic staff with these skills (QUT, 1995).
At the state government level, however, technological literacy among
Queensland’s school teachers had become a priority. In 1991, the Queensland Schools
Computer Policy (1991, cited in Tinkler, Lepani & Mitchell, 1996) stipulated that
school teachers needed to acquire skills and competencies in the use and application of
computers so that they could support students in the use of technology to process
information, investigate, test and extend knowledge.
At the time of the second phase of research, the heightened role of technologies
at the university was apparent. In addition to growing references to technology in yearly
strategic plans, QUT, in 1998, established a specific policy on flexible delivery in
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teaching. A key initiative to emerge from this policy was the implementation, in 2000,
of an official university-wide Online Teaching (OLT) system. By 2001, every unit
taught in the university had an online presentation. However, academic staff could
choose both the extent to which, and the manner in which, they used the online system
facilities. At the Education Faculty level at QUT, the 1998-2002 Strategic Plan made
two broad references to technology, although neither referred specifically to preparing
preservice education teachers to use technology.
In 1999, the state education department, Education Queensland, introduced its
Minimum Standards for Teachers – Learning Technology. The rationale for the
Minimum Standards was that all teachers in Queensland needed to possess a minimum
level of skill in the use of computers for learning. Once teachers achieved competency
in four key areas of technology skill outlined in the Minimum Standards, they could
apply for a Learning Technology Credential. These four areas relate to:
1. Information Technology skills (focusing on the operation and use of both
hardware and software);
2. Curriculum application including classroom planning and management
(addressing the use of learning technology in key learning areas and
encompasses classroom management strategies);
3. School planning (relating to the processes and procedures that promote
continuity and coordination of learning technology activity at the school-wide
level) and,
4. Student-centred learning (dealing with the application of effective teaching
and learning processes to learning technology).
(Education Queensland, 1999, p. 6)
Scope of the Study
The research focused on a sample of graduate teachers and academic staff
involved in two preservice teacher education courses at one university. The rationale
underpinning the selection of respondents associated with a single university was the
assumption that differences on particular responses would be the result of differences
among respondents, rather than differences in the experiences to which respondents had
been exposed (Fowler, 1988). Previous research on technology use in universities, such
8
as that conducted by Beggs (2000), Groves and Zemel (2000), Oliver (1994), Spotts and
Bowman (1993, 1995), and Vannatta (2000), indicates that single-site investigations are
appropriate. Nevertheless, while the limitations associated with a single research site are
recognised, it is likely that issues reported in this study will have resonance for other
providers of preservice teacher education programs throughout Australia.
The research processes employed are largely quantitative. Questionnaire
methodology was employed because it is an efficient means of gaining information from
a potentially large numbers of respondents and due to the geographic dispersion of
graduate teacher respondents.
Definitions of Terms The investigation focused on perceptions and use of specific technologies that
were utilised in varying degrees at the university during the time of the research. All
technologies were computer-based in that they were reliant on computer hardware and
software. The technologies under investigation and the definitions used are:
• Computer-Assisted Instruction or CAI - basic, independent and self-paced
learning programs that are generally linear in format and do not feature sound or
video. Often used for exams and drill and practice exercises.
• Multimedia (as exemplified by CD-ROMS) - programs that can be highly
interactive and feature combinations of sound, animation, video, graphics, and
text. Multimedia/ CD-ROM programs do not necessarily require Internet access.
• Audiographics or audio/videoconferencing - the simultaneous use of telephones,
videos and computers to link people (for example, groups of students and
teachers) at a distance.
• The Internet - an information source best known for the World Wide Web. You
do not need a Multimedia/CD-ROM computer to be able to access the Internet
but you do need to be online or networked to a site.
• Email - the computerised communication system that enables people to receive
and send messages via their computers.
• OLT (Online Teaching) - unit-specific lecture notes and resources available
through the university on-line system.
9
In relation to participants, Academic Staff referred to those staff engaged in full
time teaching in the Bachelor of Education (Primary) or the Bachelor of Education
(Early Childhood) at QUT. Graduate Teachers referred to first or second year graduates
of the Bachelor of Education (Primary) or the Bachelor of Education (Early Childhood)
at QUT.
Research Purpose and Objectives The overall purpose of the research was to investigate the experiences of
academic staff and graduate teachers related to computer-based technologies and to
identify changes in these experiences over time.
Specific objectives of the study in relation to university academic staff were: 1. To explore attitudes towards, and usage of, computer-based technologies from
1997 to 2002.
2. To identify the factors that encouraged or hindered the use of computer-based
technologies from 1997 to 2002.
3. To examine perceptions surrounding personal and university valuing of teaching
from 1997 to 2002.
4. To determine perceptions concerning preparing students to use technologies in
their teaching from 1997 to 2002.
Specific objectives of the study in relation to graduate teachers were: 1. To explore attitudes towards, and usage of, computer-based technologies from
1997 to 2002.
2. To identify factors that encouraged or hindered the use of computer-based
technologies in the classroom from 1997 to 2002.
3. To determine perceptions concerning preparing students to use technologies in
their teaching from 1997 to 2002.
The aforementioned objectives and their links to major concepts identified in the
study are presented study in the conceptual framework on the following page.
10
CONCEPTUAL FRAMEWORK FOR THE STUDY
PHASE 1 (1997) Issues:
Technological advances Changes in higher education Recognition of need for Flexible Delivery
Potential of multimedia technology Literature on Constructivist Theory of learning
Recognition of need for technologically competent teachers
Objectives: 1. To explore attitudes towards and usage of computer-based technologies. 2. To identify factors that encouraged or hindered the use of computer-based technologies. 3. To determine perceptions concerning preparing students to use technologies in their teaching 4. For academic staff only – to examine perceptions surrounding personal and university valuing of teaching Participants:
Academic Staff Graduate Teachers
INFLUENCES ON CHANGE (Change Theory) External/imposed change
Government policies University policies and
initiatives on Flexible Delivery Institutional support for change Access to equipment and
resources. Availability of training Reward/recognition of
teaching Personal factors
Appropriate models Perceived value of the
innovation Confidence Knowledge
PHASE 2 (2002) Issues:
Continued technological advances Increased enrolments and diversity of
university students Heightened competition for students Establishment of university Flexible
Delivery Policy Increased workload of academic staff Potential of Internet-based technologies Focus on nature of technology training Introduction of standards for teachers’
technological competencies Objectives: 1. To explore attitudes towards and usage of computer-based technologies. 2. To identify factors that encouraged or hindered the use of computer-based technologies. 3. To determine perceptions concerning preparing students to use technologies in their teaching 4. For academic staff only – to examine perceptions surrounding personal and university valuing of teaching Participants:
Academic Staff Graduate Teachers
11
Organisation of the Thesis This thesis is organised into ten chapters. This chapter (Chapter 1), provided a
rationale and introduction to the program of research. It began by introducing the main
premise of the research and explained why this was an area worthy of investigation.
This section was substantiated by a brief look at the issues that were central to the
research at the time of the two phases of research and drew attention to changes or
developments that had occurred throughout the period. It seemed pertinent, at this point,
to set forth the research design that underpinned the two phases of the study. As such,
the appropriateness of a repeated cross-sectional research design was discussed. This
was followed by a description of the immediate context and scope of the research, along
with definitions of terms used.
Chapter 2, Background to Phase 1 Research, reviews the literature that informed
the first phase of research. The chapter highlights the profound changes that were
occurring within institutions of higher education during the mid 1990s and the
implications of technology for higher education. Following this is a discussion on
multimedia, its potential in higher education, the benefits associated with its use in
teaching and learning and its links with constructivist theories of learning. The chapter
goes on to discuss literature and research related to faculty use of technologies before
focusing on preservice teacher education. This latter section highlights the growing
importance of technological competency among teachers in schools and the expectation
placed on teacher education institutions to realise this competency. The chapter then
describes the specific context of the research and the policies or initiatives in place that
relate to the use of technologies in preservice teacher education. It concludes with a
range of questions that arose from issues highlighted in the literature.
Chapter 3, Phase 1 (1997): Research Methodology, describes the methodology
for the first phase of research and outlines the appropriateness of survey methodology
for the collection of data. It describes the procedure for data collection, describes the
subject groups, details the measures used and the techniques for data analysis. A
description of the technologies referred to in the measures is also provided.
12
Chapter 4, Phase 1 (1997): Academic Staff Experiences with Technology and
Chapter 5, Phase 1 (1997): Graduate Teachers’ Experiences with Technology, both
commence with a description of the objectives of the research and a brief overview of
the literature that informed this initial phase of the study. The subjects, procedures and
measures are briefly described again. Following this, an overview of the research
findings is presented. The chapters conclude with a discussion of findings as they relate
to the literature.
Chapter 6, Background to Phase 2 Research, reviews more recent literature that
helped inform the second phase of research. This literature focuses on developments that
have impacted on preservice teacher education in recent years, along with new research
into teachers’ uses of technology. The chapter then describes current policies or
initiatives at the university relating to technologies and preservice teacher education. It
concludes with a range of questions arising from the literature and findings from the first
phase of research.
Chapter 7, Phase 2 (2002): Research Methodology, outlines the methodology
for the second phase of research. It describes how data was collected, describes the
subject groups and details the slight variation between the measures used in this phase
of research and those used in Phase One. Like Chapter 3, this chapter concludes with a
discussion of how the data were analysed.
Chapter 8, Phase 2 (2002): Academic Staff Experiences with Technology and
Chapter 9, Phase 2 (2002): Graduate Teachers’ Experiences with Technology, present
findings associated with the second phase of research. Each chapter commences with a
brief overview of the literature and findings from the first phase of research that,
together, informed the second phase. Objectives of the second phase of research are
outlined and a description of the subjects, procedure and measures provided. The
chapters then present the research findings which are compared to findings in the first
phase. Both chapters conclude with a discussion of findings as they relate to the current
literature and, where appropriate, attempt to account for differences in findings between
the first and second phases of research.
13
Chapter 10, General Discussion and Conclusion, provides an overview of the
principal findings of the four studies as they relate to the specific research objectives and
highlights key differences and similarities in perceptions across the academic staff and
graduate teacher groups. Following this, is a discussion of the issues arising from the
findings as they relate to academic staff and graduate teachers. Suggestions for
advancing technology use at the preservice and classroom level are provided. The
chapter then outlines the methodological issues and future directions associated with the
research, along with the most important contributions made by the program of research.
Chapter 11, Postscript, reflects on the significance of the study in the broader
social context and highlights specific implications of findings for academic staff,
university managers and educational policy makers.
14
CHAPTER 2
BACKGROUND TO PHASE 1 RESEARCH
INTRODUCTION
This chapter reviews the literature that informed the first phase of the
research. The chapter commences by highlighting the immense changes that were
occurring in higher education at the time of this study and the implications of
technology within this context. Particular attention is given to multimedia, its
potential in higher education, research into its benefits for teaching and learning and
its proposed link with constructivist theories of learning. A discussion of academic
staff use of technologies follows with consideration of theories related to change.
The final section of the chapter focuses on preservice teacher education and the
growing requirement to produce preservice teacher education graduates who are
competent and confident users of technology. The chapter outlines policies or
initiatives at the government and university level in place at the time of the first
study that related to technology and teacher education. The chapter concludes with a
range of questions that arose from the review of literature.
Higher Education: A Time of Challenge In the mid 1990s it was clear that institutions of higher education were
confronted with many challenges. Increased enrolment levels, reduced government
funding, and a more diverse student population had forced universities to improve
efficiency and effectiveness (Stedman, 1995). However, it was also recent
technological advancements that were having a profound impact on higher
education. Technological innovations had revolutionised our ability to communicate
and access information. With increasingly powerful yet cheaper computers, reduced
telecommunications costs combined with the development and installation of highly
efficient electronic networks, institutions of learning were propelled into the
'Information Age'. Innovations in communications technology promised unrestricted
and unprecedented access to higher education for students, in effect, paving the way
for the globalisation of education (Bonner, Berry & Marjanovic, 1995). As noted by
15
the Department of Employment, Education and Training (DEET) (1997), (now the
Department of Education, Science and Training (DEST), the next two decades would
see higher education becoming an increasingly international enterprise, where
services would be delivered to a global market place.
It was predicted that as knowledge became a “fluent commodity” available
to anyone from anywhere, universities and colleges throughout the world would lose
their monopoly over the delivery of higher education (Bonner et al.,1995, p. 36).
Bonner et al. noted that private providers of education such as the American J3
Learning Company (standing for "Just in time, Just enough, Just where you want it")
were beginning to lure tertiary students away from traditional learning institutions
with promises of internationally recognised qualifications and individualised,
flexible learning options. This prompted a number of writers such as Felix and
Askew (1996) to predict that Australian graduates of the future would routinely
expect credit for overseas studies in their degrees.
Other educationalists shared the view that universities, as we knew them,
were under threat. In 1995 Moran claimed that we were witnessing the crumbling of
traditional university boundaries as the monopoly over the discovery, storage and
dissemination of knowledge disappeared. Similarly, Sallis and McMahon (1995;
cited in Bonner et al., 1995) speculated that instant access to all of the world's
knowledge could render the traditional transmission model of learning completely
redundant because information technology would change forever, “the knowledge
game”. In their paper Exploiting Information Technology in Higher Education, The
Australian Vice Chancellor's Committee (1996) noted that what these pressures and
changes constituted for higher education, was a complete paradigm shift. The
elements that contributed to this paradigm shift are outlined in the table on the
following page. Clearly, many elements featured in the new paradigm pointed to
increased student-centred learning and a growing dependence on technology.
16
Table 1.1 Old and New Paradigms for Higher Education (Tiano, 1996; cited in Australian Vice Chancellors' Committee Paper, 1996)
This table is not available online. Please consult the hardcopy thesis available from the QUT Library.
Technologies and Higher Education In the mid 1990s it was already clear that new technologies had significant
implications for teaching and learning in Australia. Educational agencies and
accrediting bodies, professional organisations, researchers, scholars and public
policy makers stressed the growing need to integrate information technology into all
areas of education (Handler, 1993). This was due to the growing realisation that
universities that failed to incorporate technology into their curricula would not be in
a position to compete with those who had (Spotts & Bowman, 1995). It was
increasingly recognised that unless universities provided flexible modes of delivery,
students may seek out alternative providers of higher education (Bonner et al., 1995;
Felix & Askew, 1996; Spotts & Bowman, 1995). As a consequence, new
technologies began to dominate policy agendas within the Australian government
and universities and emerged as one of the most talked about issues in higher
education (Moran, 1995).
Moran (1995) noted that market trends coupled with government policy
recommendations had forced universities to critically examine ways in which they
17
could make their product more flexible in terms of both delivery and content. With
this in mind, the 1995 Search Conference on National Policy Frameworks to Support
the Integration of Information Technologies into University Teaching and Learning
(commissioned by DEET) recommended that Australian universities must:
Maximise the integration of technologies to improve access and equity
Expand students' freedom to choose what, where, when, and how to study
Assist in the individualisation of learning in a mass system.
Improve the quality of teaching and of learning how to learn.
(Moran, 1995 p. 2)
In order to achieve the transition to a flexible learning environment, the
report recommended that national and institutional policies and strategies were
needed in three areas. These were support and training for students in accessing and
learning how to use information technologies in the context of their study; research
and development into the educational applications of information technologies; and
evaluation of the educational and social effects and cost benefits of information
technologies (Moran, 1995).
Of the information technologies available in the mid 1990s, Mazzarol and
Hosie (1996) believed that interactive multimedia had the most potential to give
universities a competitive advantage. This ‘new’ type of multimedia, they claimed,
was cost effective and capable of ensuring greater control over the quality of
teaching. According to Issing (1996), new multimedia enabled the operator to use
computer supported interaction in conjunction with a multiple media system that
featured a variety of presentation forms such as data, text, sound, graphics,
animation, still frame, moving picture, and real-time simulations. These multimedia
computers stored all presentation data in digital form on compact discs (Issing,
1996), and relied on users playing an interactive role to access information (Aston &
Schwarz, 1994). The enormous popularity of multimedia CD-ROM computers was
evidenced by tremendous growth in sales. Nielson noted that in 1995, CD-ROM
encyclopaedias outsold the equivalent paper-based version. Others predicted that
soon, more CD-ROM computers would be produced globally than television sets
(Media & Information Service, 1993).
18
Stedman (1995) acknowledged that universities across Australia were
actively working on the development of interactive multimedia applications. Many
projects, ranging from the development of CD-ROM teaching materials to interactive
multimedia using the Internet, were being made possible by the availability of
government research grants to universities. The increase in the numbers of grants
awarded to multimedia projects was an indication of the commitment of both
government and higher education to investigate or develop innovative and flexible
teaching approaches. The growth grants by the Committee for Advancement in
University Teaching (CAUT) awarded to multimedia projects, for instance, grew
from 16 in 1993 to 66 in 1996 representing a 400% increase in funded multimedia
projects during this four-year period (CAUT, 1993; CAUT, 1996).
Multimedia and Higher Education In 1994, authors such as Fyfe and Fyfe asserted that the challenge of
accommodating students' variable study patterns, thereby maintaining enrolment
levels, could be addressed by the introduction of multimedia teaching tools.
However, while the need to remain competitive underpinned much of the push for
multimedia usage, there was also widespread conviction that this new technology
had a great deal to offer higher education. In the midst of claims that multimedia had
the potential to revolutionise teaching and learning, academics were facing mounting
pressure to incorporate it into their teaching. Students, on the other hand, were facing
the prospect of decreased lecturer contact and increased hours interacting with a
computer. This prognosis raised a number of important questions, none the least of
which was how can multimedia technology contribute to learning?
Attempts to rationalise the use of multimedia in education drew on a number
of current learning theories including cognitive models which focused on the idea of
situated, contextual and discovery learning, supported by scaffolding, learning from
errors, modelling, explaining and reflecting (Clark, 1994; cited in Sims & Hedberg,
1995). While many multimedia programs featured elements of these models, the
most frequently expounded theory in discussions on the pedagogical worth of
multimedia teaching tools was constructivism. Constructivists emphasise the
importance of the learner's active engagement during the learning process. According
to Fineman and Bootz (1995), learners construct or generate meaning from their
19
learning experiences, rather than passively receiving knowledge from the teacher.
Constructivists believe that learning is problem-solving based on personal discovery
by intrinsically motivated learners (Cooper, 1993; cited in Sullivan, 1995). They
maintain that knowledge is constructed through individuals’ interactions with their
environments (Fineman & Bootz, 1995) and regard learners as controllers and
developers of knowledge (Sims & Hedberg, 1995). Oliver (1994a) noted that this
model of learning actively takes into account individual differences in student
readiness for learning, the role of prior knowledge and the need for students to be
active participants rather than passive recipients in the learning process.
Much of the discussion surrounding the potential of multimedia in the mid
1990s highlighted specific characteristics embedded in constructivist learning
principles. According to Novak (1984; cited in Kennedy, 1995), constructivist theory
suggests that new knowledge is integrated into existing constructions by a process of
integrative reconciliation. Kennedy (1995) explained that multimedia programs
could facilitate this reconciliation because learners were able to select information
that was directly relevant to their prior knowledge, needs and experiences. Using
Jonassen's (1994) constructivist framework, Love and Gosper (1995) explained that
multimedia teaching resources could facilitate purposeful knowledge construction
because they provided multiple representations of reality, presented authentic tasks,
fostered reflective practice, and focused on knowledge construction, not
reproduction.
In the mid 1990s the literature devoted to the potential of multimedia
technology was almost as persuasive as it was vast. Claims about its significance for
teaching and learning ranged from the extravagant, for example, "opens new learning
worlds and creative dimensions for the acquisition of knowledge, for problem
solving and for creative activity" (Issing, 1996, p. 171) and, “an exciting experience
involving the sensory modalities of sight, sound and touch, all of which naturally
facilitate learning” (Choo, 1994, p. 230); to the pragmatic, for example, and “a
comparatively inexpensive method to provide expert information to a large,
dispersed and diverse population (Gooley, Towers & Dekkers, 1994, 165) and "has
the potential for endless practice” (Loss, Zadnick & Treagust, 1994).
20
Writers such as Grandgenett, Ziebarth, Koneck, Farnham, McQuillan and
Larson (1992), suggested that the ability to access vast amounts of information
quickly and efficiently, as afforded by multimedia technology, provided new
learning opportunities for students. Felix and Askew (1996) described these new
learning opportunities as "enriched" and noted that for students, multimedia offered
greater choice and control over their learning. For universities, Felix and Askew
(1996) suggested that multimedia technology offered three primary advantages: cost
savings, flexible delivery and the renewal of teaching.
Multimedia: Learner Issues
Much of the pressure for higher education to adopt technologies such as
multimedia stemmed from the requirement to respond to students’ needs. In the mid
1990s, students were not only demanding more flexibility in the delivery of higher
education, those entering university from the school system were increasingly
accomplished in the use of technology and appeared strongly motivated to develop
their skills in this area (Trevitt, 1994). As highlighted by Spotts and Bowman (1995),
many of these students had grown up with technology and were more
"technologically literate" than their teachers.
Yet, apart from an apparent desire for flexible learning options, little was
known about students' perceptions and use of technology. Cox (1994) noted that in
relation to computer use in higher education, it was easy to document how many
computers a particular institution may have, what types of software were installed
and the degree to which the computers were utilised. However, concerning how
students felt about using computer-based technologies and students’ preparedness for
using technology in the workplace, little data existed. The following discussion
reviews issues and research findings from the mid 1990s associated with tertiary
students’ use of technologies.
It was the ability to enhance teaching and learning that many writers believed
was a major attribute of multimedia. Slaughter and Knupp (1995) suggested that the
combination of text, pictures, sound, colour, animation and video in a package that
enabled the user to direct how information was presented, provided a very powerful
and flexible vehicle for creative teaching and learning. Valmont and Blanco (1995)
21
maintained that educators should take advantage of multimedia technology because it
enabled them to transform otherwise monotonous, lifeless tasks into engaging
learning opportunities for today's "visually informed" students. Grandgenett et al.
(1992) suggested that multimedia could bring to life traditionally difficult topics and
therefore help to establish links between classroom instruction and the real world.
Multimedia's capacity to deliver real-time simulations through the use of
video was a feature that many believed elevated it beyond traditional computer-based
learning. According to Sweeters (1994), simulations allowed learners to attempt
tasks within a safe environment. As such, multimedia could be viewed as a means of
supplementing, replacing, or preparing students for, practical experiences. Fyfe and
Fyfe (1994) noted this was particularly relevant in Australia where many university
practical course components had been abolished due to their relative high cost.
Other situations where multimedia could provide a solution were where
laboratory equipment was too expensive to purchase or maintain; where shortage of
equipment prevented hands-on use for each student; or when reduced teaching
budgets prohibited the provision of the extra academic and technical staff required to
supervise practice sessions (Fyfe & Fyfe, 1994). Laszlo and Castro (1995) proposed
that in these situations or when subject matter is physically not within easy access,
learning with multimedia could be almost as rewarding as actually being in the
laboratory.
According to Lewis and Hosie (1994), multimedia was particularly useful in
situations where there were large numbers of learners distributed over time and
place, where learners had varied experiences and skills, and where there was a
shortage of teachers with subject matter expertise. In addition, they claimed that
multimedia was ideal when there was a need for simulation, continuous practice or
retraining; the problem of combining different learning media such as text, slides,
video and audio; where subject matter was stable, and when training involved
processes, procedures, problem-solving, and decision making. Kemp and McBeath
(1994) added that multimedia teaching tools could provide a solution to concerns
such as the pressure to increase student enrolments in a course, monotonous lectures,
lack of interest or motivation in learning a subject, and poor student performances.
22
McLoughlin and Oliver (1995) noted, that in contrast to the didactic
presentation style characteristic of many university lectures, learning with interactive
multimedia provided students with greater options and a degree of control over the
learning process. This control included display control, pace and sequence control.
McLoughlin and Oliver (1995) claimed that these features were highly valued
because they enabled learning to be individualised - something widely believed to
enhance instructional outcomes. According to Olivier and Buckley (1994),
individualisation was not only advantageous to students, teachers could benefit as
well. They explained that individualisation could empower teachers because it
enabled them to identify and monitor student progress and adjust the learning
environment to meet individual needs.
Numerous authors have highlighted additional benefits associated with the
use of multimedia in teaching. Olivier and Buckley (1994) and Choo (1994) for
example, suggested that multimedia-delivered instruction could address varied
learning styles, while Dickinson (1994) proposed that it could stimulate many of the
senses and be more motivating than traditional teaching. According to Laszlo and
Castro (1995) and Lewis and Hosie (1994), this increased motivation resulted from
the continual feedback that was characteristic of most multimedia programs.
Laszlo and Castro (1995) suggested that another compelling attraction of
multimedia programs was that they allowed students to work things out by
themselves, thereby making the learning experience more meaningful. They
explained that if students made a mistake or found the content too difficult, they had
infinite opportunities for revision. Similarly, Curtin (1994), and Choo (1994),
considered the advantages of multimedia programs to be their self-paced and
revisable nature. They also stated that learning with multimedia was quick, flexible,
consistent, non-threatening, and appealed to more of the senses thereby enhancing
motivation, attention, and retention.
Learner interactivity was another purported benefit associated with
multimedia technologies. Simpson (1994) suggested that multimedia tools provided
learners with opportunities for higher levels of interactivity that actively engaged the
brain. Simpson (1994) speculated that the interactive nature of multimedia systems
23
could enhance users’ memory and learning.
Several studies conducted in universities in the mid 1990s provided support
for some of the aforementioned claims about multimedia. For instance, the majority
of students in an Australian study by Gooley, Towers and Dekkers (1994) reported
that a new CD-ROM learning resource was stimulating and preferable to paper-based
notes. In addition, students believed that the CD-ROM delivery suited their style of
learning and did not find it impersonal. Likewise, students in Waddick's (1995)
longitudinal study in New Zealand revealed a growing preference (from 60% in the
first year of the study to 100% in the final year) for tutorials delivered by multimedia
over those delivered by traditional instruction. Students reported increased
motivation to learn, improved attitudes towards the subject and valued the new
control they had over their learning. They also reported that the sound, colour and
movies enhanced their learning. Similarly, Crosby and Stevlosky (1995) also
attributed students' improved performance in a science subject to the variety of
presentation modes that multimedia provided.
Fyfe and Fyfe (1994) reported similar attitudes towards multimedia in their
Australian study. Observations and evaluations of a multimedia-delivered biology
experiment indicated that students enjoyed using the program and demonstrated
significantly higher on-task behaviours than when participating in traditional
laboratory-based experiments. In addition, feedback from tutors indicated there was
more time to concentrate on helping individual students, rather than simply
supervising them. In Crosby and Stelovsky’s (1995) study, students demonstrated
not only improved performance, but also higher attendance rates when lectures were
presented using multimedia materials.
Research by James, Clark, Hillis and Peterson (1995) compared student
performance in a multimedia science course with performance in the same course
delivered by traditional teaching the year before. While the study reported no
significant differences in examination scores, feedback from students revealed that
they were generally enthusiastic about the self-paced and independent learning made
possible by the multimedia program and were positive about the ability to repeat
difficult material and review content that needed further clarification. However,
24
students also raised several concerns stemming from their use of multimedia, namely
the inability to ask questions, difficulty maintaining concentration throughout the
three-hour program and problems accessing university computers.
For the most part, then, multimedia technology appeared to hold great
promise for higher education. For institutions, proposed benefits associated with
multimedia integration included long term cost savings (Choo, 1994; Massy &
Zemsky, 1995; Mazzarol & Hosie, 1996), maximising consistency of teaching
(Mazzarol & Hosie, 1996), and ensuring competitiveness in an increasingly
competitive marketplace (Fyfe & Fyfe, 1994; Mazzarol & Hosie, 1996). It was clear
from the research that multimedia-delivered instruction had already found much
support among learners across a range of disciplines. For students, it was suggested
that multimedia-delivered instruction offered flexibility in terms of how, when,
where and how much learning was undertaken (Stedman, 1995) and could stimulate
learning through high levels of interactivity (Simpson, 1994), multi-sensory input
(Dickinson, 1994; Forgo & Koczka, 1996), and the accommodation of individual
learning styles (Choo, 1994; Olivier & Buckley, 1994). In addition, students reported
improved motivation (Waddick, 1995), heightened interest (Gooley et al., 1994;
Iynkaran & Crilly, 1994), improved understanding of subject content (Crosby &
Stevlosky, 1995; Hsi & Agogino, 1993; Iynkaran & Crilly, 1994), and increased
feelings of control over learning when using multimedia programs (Felix & Askew,
1996; McLoughlin & Oliver, 1994; Sims & Hedberg, 1995; Waddick, 1995).
Multimedia: Unrealised Potential?
Although new technologies, such as multimedia, were one of the most talked
about education issues in the mid 1990s, their impact on colleges and universities
was less extensive than first predicted. While technology continued to pervade our
daily lives as evidenced by supermarket scanners, electronic banking, mobile
telephones and so on, its impact on higher education was far less dramatic (Spotts &
Bowman, 1995).
25
Numerous explanations were offered for the apparent failure of multimedia
technology to realise its potential in higher education. Felix and Askew (1996)
suggested that two such barriers were the absence of multi-platform development
due to hardware and software incompatibilities and prohibitive costs. These costs
surround those associated with the purchase and installation of multimedia
workstations networked to a file server large enough to store hours of video,
production costs, as well as costs necessary for the continual upgrading of
technology and teaching materials. Forgo and Koczka (1996) identified other
obstacles to the infiltration of multimedia technology in higher education including a
lack of profession-wide recognition of the need for inductive information
acquisition; the emphasis on theoretical knowledge instead of practical skill-oriented
education; and a shortage of supplies and compatible media.
A further impediment to the infiltration of technology in higher education
was the inconsistent quality of existing learning materials. Several writers agreed
that few of the products available at the time were exemplary (Barrett & Jegede,
1994; Wetzel, 1993). McNaught (1995), for instance, noted that there were more
examples of inappropriate uses of information technology in teaching and learning
than there were well designed and evaluated programs that could be seen to enhance
learning. Felix and Askew (1996) suggested that product quality had suffered due to
a widespread lack of programming expertise among technical staff. They added that
the poorly conceptualised programs resulting from this lack of expertise had
jeopardised the credibility of multimedia as a teaching tool. Barrett and Jegede
(1994) however, claimed that poor quality materials were not the fault of
inexperienced programmers but those employed at the decision-making level. They
proposed that technological applications had been instigated by individuals who
although "predominantly uninformed", were in a position to ensure that technology-
based projects attracted funding.
Some argued that in many cases the adoption of multimedia teaching tools
stemmed more from an infatuation with technology than from educational necessity.
Authors such as Oliver (1994a) suggested that in some instances, multimedia had
found its way into education for reasons other than instructional advantage and
opportunity. Oliver (1994a) referred to these instances as being 'technology led' and
26
suggested that the educational rationale for implementing the technology was often
the least important factor in the uptake. Reeves (1993; cited in Oliver, 1994a)
explained that the problem with earlier technology-led applications, was that they
frequently failed to live up to their expectations. Referring to the many past
examples of important and innovative technologies for which research had clearly
validated and demonstrated potential benefits, Reeves noted that such benefits were
never fully realised. Reeves (1993; cited in Oliver, 1994a) noted the widespread use
in education and training since the 1960s of computer-assisted technologies
(variously referred to using acronyms such as CBT, CMI, CAI, CAL, or CBE) and
noted that while they showed great promise, they had generally been disappointing.
Choo (1994), however, reasoned that unlike multimedia, CBT, CMI, CAI and CAL
were disappointing because programs were largely textual and linear in structure,
employed limited sequential 'page turning' techniques and were not tailored to meet
the needs of users.
Laszlo and Castro (1995) noted that in contrast to these older technologies,
multimedia had the capacity for individualised, non-sequential, interactive, and
multi-sensory learning. Nevertheless, in their review of technology in American
higher education, they noted that although several universities were successfully
using innovative technologies in teaching, most continued to use technology in a
traditional role - the promotion of isolated subject mastery using drill and practice
techniques.
In summary then, there were already signs in the mid 1990s that multimedia
may never realise its full potential. There appeared little doubt that many existing
applications of multimedia were indeed, technology driven. The concern was that
these poorly conceptualised programs would undermine the value of multimedia as a
teaching tool. As Issing (1996) warned, there was a danger that multimedia
technology would be rejected due to inadequate pedagogic study before its
technological potential had been fully realised.
Technologies and Academic Staff Despite the growing literature on multimedia in the mid 1990s, the nature,
potential and problems associated with this rapidly expanding phenomenon remained
27
poorly understood (Loss, Zadnik, & Treagust, 1994). There was little doubt that the
novelty of multimedia had attracted a great deal of attention, however, beyond this
novelty was an urgent need for critical assessment of its use in academic teaching
and learning. So far, this kind of critical analysis had been lacking in the literature
(Jacobson 1994; cited in Dolly 1995), leading authors such as Dolly (1995) to
suggest that the field of multimedia inquiry did not take high quality research or
evaluation, either quantitative or qualitative, seriously.
Although relatively few studies had been performed to investigate teachers’
and learners’ uses of multimedia technology, Loss et al. (1994) noted that
multimedia technology seemed to have assumed a place of high standing among
many in the educational community. Oliver (1994a) suspected that some of these
assumptions might be based more on perceptions of quality and effectiveness, rather
than on concrete information drawn from experience and practice. Likewise, Park
and Hannafin (1993) suggested that much of the support for multimedia came from
intuitive, rather than empirical, validity.
According to Dickinson (1994), many claims about the potential of
multimedia in teaching had been undermined not only by a shallow research base,
but also by the rapid rate of technological change. Loss et al. (1994) explained that
research into multimedia had been limited by the lack of fully developed applications
and the changing capability of software and hardware. As Dickinson (1994) noted,
by the time long-term studies were completed and published, the technology they
described was often completely redundant. This situation led Dolly (1995) to
conclude that multimedia research comprised a hodgepodge of studies that lacked
both coherence and links to a central theory.
Positive attitudes towards multimedia are fundamental to technology
integration in higher education (Forgo & Koczka, 1996) and many attributed its
failure in the 1990s to conservative or negative staff attitudes (Benavides & Surry,
1994; Forgo & Koczka, 1996; Heron, 1996; Massy & Zemsky, 1997; Murphy, 1994;
Reeves; 1991, cited in McNaught, 1995). Spotts and Bowman (1995) proposed that
while negative attitudes were often manifested at the policy-making level, they were
often more apparent among those responsible for delivering instruction - the
28
teachers.
Heron (1996) claimed that in coming to terms with the implications of the
new technologies for teaching, learning and research, academics tended to fall into
three distinct groups. Firstly, stated Heron, were those who were embracing the new
technology and using it to enhance both their teaching and their careers. Secondly,
there were academics who were resigned to change and were seeking funding for
projects using the new technologies. The third group of academics, according to
Heron, comprised those who preferred to pretend that the changes were not
happening and continued traditional teaching despite increased pressure to adapt.
Spotts and Bowman (1995) believed that it was this third group of academics that
was most prevalent in universities. They claimed that while many academics were
making innovative and effective use of emerging technologies, most preferred to
teach the way they were taught ten, twenty or thirty years ago. Spotts and Bowman
(1995) noted that the primary teaching method for many centuries, the printed page,
remained firmly entrenched in most educational organisations. They claimed that
nowhere was this more apparent than in higher education where textbooks and the
lecture continued as ‘the norm’.
Benavides and Surry (1994) and Forgo and Koczka (1996) also linked the
slow uptake of instructional technologies in higher education to staff attitudes. They
maintained that the potential of technology had not been harnessed on most
university campuses because faculty were unwilling or unable to incorporate
instructional technologies into their classrooms. Similarly, Reeves (1991; cited in
McNaught, 1995) suggested that teachers' unwillingness to restructure subject
content and delivery methods to incorporate computers had helped stifle the use of
technology in higher education. According to writers such as Stedman (1995),
nothing short of a paradigm shift would alter these deeply ingrained attitudes and
role perceptions.
In 1994, Murphy also acknowledged resistance by academics to the use of
technology and maintained that resistance was mounting. Murphy (1994) claimed
that resistance stemmed from three factors: firstly, the difficulties associated with
29
integrating computers into the curriculum; secondly, the time involved in achieving
integration; and thirdly, doubts that computers could enhance or improve student
learning. In addition to lack of time, Smith (1994) cited lack of knowledge,
experience, and resources as the reasons offered by faculty for non-use of
technology.
Authors such as Smith (1994) stressed that the potential of technology to
enhance, expand and change the way students were educated could only be realised
if educators enthusiastically adopted technology based instruction materials.
However, in the mid 1990s the lack of well-conceptualised and well-developed
programs did little to warrant such enthusiasm. In 1995, McNaught (1995) noted that
the "mixed bag" of programs available at the time had seen the polarisation of staff
who either enthusiastically embraced new technology, or who scorned its use and
found it highly threatening. The key to the problem, according to Benavides and
Surry (1994), was education and training. They claimed that for technology to make
a difference in higher education, faculty must be made aware of its potential and
receive training in how to use the technology effectively. Smith (1994) cautioned
that if this training was not received, there was a danger that lack of knowledge by
academics would be transferred to students.
While there was little doubt that lack of education and training figured
highly, it was possible that the failure to incorporate technology into teaching also
stemmed from academics' priorities. The priorities held by academics tend to reflect
institutional priorities and values, but according to Peters and Mayfield (1982; cited
in Ramsden, Margetson, Martin, & Clark, 1995), these are not always communicated
consistently by universities. Peters and Mayfield (1982) claimed that universities
suffer from "institutional schizophrenia" because they transmit mixed messages to
staff about what is valued and deemed important. Indeed, in relation to technology
integration, the messages being received by faculty may well have been confusing.
Although faculty were being persuaded to incorporate technology in their teaching,
the message still being transmitted within universities was that excellence and
innovation in teaching were not valued or rewarded (Davis et al., 1995; Massy &
Zemsky, 1995; Ramsden et al., 1995). Kline (1994) noted that the 'publish or perish'
cliché was alive and well in university settings and illustrated the perception that
30
publishing was more worthy than good teaching. It would not be surprising then, that
if academics believed that research and scholarly activity influenced promotion or
tenure decisions they may see little point in changing their teaching strategies.
Despite the belief that attitudes were integral to the adoption of technologies,
in the mid 1990s few studies had been conducted to examine faculty attitudes
towards and usage of technologies. Briefly described as follows, most research was
conducted in the United States and the United Kingdom.
Spotts and Bowman’s 1995 study of faculty (n = 306) from a mix of
disciplines in one university in the United States, for instance, gathered information
on a range of technologies across three areas: knowledge about and experience with
technologies; frequency of technology use in teaching; and importance and future
use of technology. This data was then correlated with background information about
respondents (gender and home computer ownership) to determine any relationships
between computer use and demographic characteristics. Staff were asked to rate their
level of knowledge about and experience with twelve types of technologies. In
relation to CAI, 23% reported good to expert knowledge and 18% reported that they
were experienced in its use. In relation to email, these figures were 32% and 33%,
multimedia, 13% and 8%, and computer conferencing (similar to audiographics), 16%
and 13%. Information on knowledge and experience of the Internet was not gathered.
Faculty were also asked to indicate how frequently they used the technologies. In
relation to email, only 16% reported using the technology at least weekly. For CAI,
this figure was 13%, computer conferencing, 7% and multimedia, 2%. Instead, the
vast majority of faculty reported that they never used the technologies in their
teaching. In response to how important technologies were to teaching, 65% of
respondents considered technology to be important or critically important, 25%
considered technology as somewhat important and only 10% felt that it was not
important. Concerning the anticipated use of technology, only 42% of faculty
reported that they were likely to use technology at some time during the year and
26% believed it was unlikely that they would use technology at all during the year.
From these findings, Spotts and Bowman (1995) concluded that most faculty would
continue to rely on traditional methods for delivering instruction.
31
As previously mentioned, Spotts and Bowman’s (1995) study also sought to
determine any relationships between the technology responses and demographic
information including gender and computer ownership. They found significant
relationships between gender and knowledge and experience of newer technologies
including multimedia with males rating their knowledge and experience higher than
females. This supported other research suggesting that differences existed in both
computer attitude and computer aptitude (Chen, 1986; Collis, 1985, 1989; cited in
Spotts & Bowman, 1995). Home computer ownership was reported by 83% of
respondents, and these respondents reported a greater level of knowledge and
experience than those who did not own computers. Concerning importance to their
teaching, home computer owners assigned a significantly higher level of importance,
as well as expectation of future use, than non-home computer owners. Similarly,
Hesketh et al. (1996) also reported gender to be a predictor of attitudes towards
technologies, with female faculty members being less positive than males about
using technologies.
Contrary to findings by Spotts and Bowman (1995) and Hesketh et al (1996),
a study of faculty (n = 421) from teacher education programs in universities/colleges
throughout America by Lyons and Carlson (1995) found that gender was not a
predictor of either attitudes toward technology, knowledge about technology or use
of technology. Lyons and Carslon (1995) noted that their findings supported those of
previous research into technology usage (Faseyitan & Hirschbuhl, 1991; Fuller,
1986; and Milet, 1991), and attitudes toward technology (Fary, 1988; Grasty, 1985;
Smith, 1985) in which gender was found to not play a significant role.
Several writers had suggested that lack of training and time were significant
deterrents to technology use and a number of studies supported this view. Research
by Wetzel (1993) in one American university, for example, revealed that a major
barrier to the use of technology by education faculty was lack of training or
knowledge. Other barriers identified by faculty were lack of time, facilities, software,
and equipment. While many staff also reported that they were aware of the
importance of their students’ learning about technology, Wetzel (1993) noted that
few actually claimed to utilise technology in their teaching. Similar findings were
also reported in studies by Davis et al. (1995), and Willis et al. (1995) in their cross-
32
cultural investigation of teacher educators in a number of universities in England and
the United States. In relation to valuing and use of technology, overall, both groups
reported that the use of information technologies in teacher education was very or
extremely important, but many claimed there were limited opportunities for training
in the use of technologies. Of the American sample, over 50% felt that limited time
to learn how to use technologies was a significant barrier to their use of technology.
Likewise, academic staff in Lyons and Carlson’s (1995) study in the United States
reported a lack of opportunities to learn about technologies. Academics reported
receiving little or no training in the use of technology, indicating instead that they
were either self-taught or received informal assistance from others.
Time and training issues were also highlighted in a study commissioned by
CAUT in Australia in 1995. Academics in this study reported that if they were to
develop and introduce innovations in teaching and learning, they needed more time.
This time, according to 74% of respondents would make a considerable difference to
their teaching (Ramsden & Martin, 1996). In Spotts and Bowman's 1993 study,
training and time were again considered by academic staff to influence their use of
new technology. Using closed and open-ended questions, Spotts and Bowman (1993)
surveyed academic staff at one university in the United States to investigate the
factors that influenced their use of technology, the barriers that prevented them from
using technology and the incentives they regarded as important for using technology.
The researchers found that from a list of items, the factors rated most highly by
faculty as influencing their use of technology were 'availability of equipment',
'improved student learning', 'funds to purchase materials', and 'compatibility with
subject'. 'Time to learn the technology' was nominated by around half the
respondents as being a very to critically important influence on technology use.
Other factors also rated as critically or very important included 'advantages over
traditional teaching', 'an increase in student interest', and 'ease of use'.
In relation to an open-ended question about barriers to technology use, Spotts
and Bowman (1993) noted that the most frequently cited barrier was 'lack of time to
learn the technology'. Eighty percent of respondents indicated that this was a primary
barrier. Other barriers reported by faculty included, 'lack of available equipment',
'lack of training' and 'lack of financial support'. Several also felt that pressure to use
33
technology had more to do with increasing faculty productivity than improving
student learning. According to Spotts and Bowman (1993), what academics required
before investing the time and energy required to learn about new technologies, was
evidence that student learning, interest and motivation would be enhanced by
technology. Academics also wanted an undertaking on behalf of their institution that
the necessary funds and equipment, as well as training and support would be made
readily available to all staff. Concerning incentives to use technology, Spotts and
Bowman (1993) found that from a list of items, the most important factor chosen by
faculty was 'release time'. Other incentives regarded as very to critically important
included 'student help' and 'clerical support’. However, responses to an open-ended
question about primary incentives for using technology, 'demonstration of improved
student learning' was the most frequently cited followed by 'having the necessary
time'. Spotts and Bowman (1993) noted that in contrast, the factors 'contribution to
promotion/ tenure', 'recognition of university community' and 'recognition of higher
education community' were rated by faculty members to be less important incentives
to using technology.
In a national Australian study by Ramsden et al. (1995), however, academics
highlighted the importance of rewards. These academics reported that the most
potent reward for good teaching was promotion or confirmation of appointment.
However, in relation to rewards, academics in studies by Davis et al. (1995), and
Willis et al. (1995), revealed there was little reward or recognition for curricular
innovations, software development or other technology applications. Along with
lack of technical skills, support, time and increased workloads, a survey of
Australian academics by Hesketh et al. (1996) also revealed concerns surrounding
rewards. According to faculty in their study, the extra effort to use technology in
teaching would not be rewarded because publishing was the yardstick for promotion.
This concern was also highlighted in the investigation by Ramsden et al. (1995)
which noted that academics, both in Australia and overseas, perceived teaching as
being less important than publishing or research in decisions affecting promotion or
tenure. Furthermore, many academics believed that the continual pressure to publish
could have a detrimental effect on the quality of their teaching (Ramsden et al.,
1995).
34
The Role of Change Although there was much evidence in the mid 1990s to suggest that faculty
shared numerous concerns about teaching with technology, there had been no
attempt to position these concerns within a theoretical framework. Yet, literature on
teachers' beliefs and practices indicated that a useful framework for conceptualising
faculty attitudes and behaviours may stem from theories related to change.
Consideration of how individuals react to change can provide insight into some of
the complexities associated with technology integration.
In 1992, Bailey and Palsha noted that new theories, philosophies and research
findings, all contributed to changes in the way professionals think and act. Change
evolved from personal experience and insight (Bailey & Palsha, 1992), and could be
relatively easy to accommodate (Kortecamp & Croninger, 1996). More often than
not however, change was imposed by external sources such as new government
policies, economic or demographic trends, social and cultural developments, and
technological advances (Bailey & Palsha, 1992). According to Kortecamp and
Croninger (1996), when the proposed change was large in scope, required significant
commitment of both human and financial resources, or was imposed by forces
external to the organisation, the likelihood of resistance to change increased. Sikes
(1992) explained that imposed change carried official authority that challenged
professional experience, judgement and expertise. This kind of change could mean
that teachers find themselves in jobs which are quite different from those they
originally chose, and this may lead to low morale, dissatisfaction and reduced
commitment
Imposed change, noted Bailey and Palsha (1992), carried with it the
expectation that teachers think and behave in new ways, such as modifying the way
they teach or provide services. Sikes (1992) stated that teachers were often in the
position of being both the subjects and agents of change. They were required to
change themselves and their work in order to meet the expectations of policy makers
who were neither familiar with them or the contexts in which they worked. They
may also be required to make changes that they believe, on the basis of professional
experience, may be inappropriate or impossible (Sikes, 1992).
35
According to Kortecamp and Kroninger (1994), the adoption of innovative
technology in preservice teacher education programs is an example of imposed
change. They explained that the external force in this instance was society's demand
that teacher education programs prepare teachers to be technologically aware and
able. The adoption of technology may be mandated through administrative channels,
alternatively it may be encouraged through inservice education programs (Bailey &
Palsha, 1992). Whatever the source of pressure, Bailey and Palsha (1992) noted that
there appeared to be an assumption that simply exposing professionals to the benefits
of an educational innovation and teaching the necessary skills to implement the
innovation, would result in the desired change. Recent literature suggests, however,
that several variables play a role in the adoption of innovations. These variables
include feelings of self-efficacy and perceived value of the innovation (Stein &
Wang, 1988), self-concept (Guskey, 1988), and levels of administrative support and
ongoing assistance (Invargson & MacKenzie, 1988; cited in Bailey & Palsha, 1992).
Fullan (1982; cited in Sikes, 1992) maintained that also crucial to any change
was how individuals came to terms with it in the context of their familiar framework
of reality. Whatever change meant for an individual determined how that change was
perceived and accommodated. In relation to teachers, Fullan (1982; cited in Sikes,
1992) suggested that depending on individual perceptions, the same change in the
same institution could aggravate problems or alleviate them. According to Sikes
(1992), much depended on what change meant for individual teachers' ideologies and
philosophies, on the kind of teacher they wanted to be and be seen as, on their
objective and subjective career aspirations, and on what they were required to do in
their job.
Sikes’ (1992) views on teachers and change can be related to the introduction
of technology in higher education. An academic's acceptance of new ideas is
influenced by their individual life experiences. Concerning technology, experiences
may be comprised of actual encounters with technology, or impressions gained from
sources such as colleagues or research findings. Whatever the source, if the
experience resulted in negative perceptions of technology, the likelihood of
resistance to the future use of technology was increased. Resistance to technology
may also occur if academics were made to feel that their teaching skills were
36
undermined or made redundant, or if they considered the use of technology to be
disadvantageous to students. Resistance to technology could also be a factor if the
introduction of technology created discord between an academic's aims and purposes
and those of an institution, For example, if an institution's rationale for integrating
technology was to compel students to learn by independent study, it may well
conflict with an academic's aim to facilitate student learning through personalised
and small-group instruction. Institutions may also view technology integration as a
means of reducing academics' teaching loads in order to maximise their time for
research and publishing. However, if an academic's aim was to prioritise teaching
rather than research or publishing, the resulting conflict in aims was unlikely to see
uncompromising support for technology-mediated instruction.
Work contexts and conditions must also be conducive to technology
integration if integration is to be successful. Tangible support in the form of adequate
facilities, and resources are essential if such change is to be realised. Academics not
only need access to equipment, software and training programs, they also require
time that is free of other commitments to become familiar with technology.
Sikes (1992) highlighted how work cultures impact upon change in higher
education settings. The effects of workplace cultures on the integration of technology
can be far-reaching, affecting it in a variety of ways. For example, a particular
culture in a university school or department may demonstrate its support for
technology by employing only those academics who express a willingness to use
technology in their teaching. It may also allocate funding to projects that involve
developing technology-based instructional materials rather than those that focus on
more traditional methods. On the other hand, resistance to technology integration
may be manifested by a culture in its non-use of technology, lack of support for
technology-based projects, or lack of provision of incentives to use technology. In
either situation, if academics find themselves at odds with the prevalent culture, they
may feel isolated, threatened and unable to fully commit themselves to their work.
It would appear then, that if institutions are to realise technology integration,
they must be mindful of the problems that imposed change can cause. Change is
extremely complex, individualised and often threatening. Without appropriate
37
consultation and support, attempts to impose change may be met with resistance.
In summary, despite the belief that attitudes were integral to the adoption of
new technologies, few descriptive studies have been conducted that examined how
academic staff viewed technologies and how technologies were being used. In
addition, there were only limited attempts to extricate those factors that encouraged
or prevented faculty use of technology. This handful of studies revealed a somewhat
perplexing picture of high valuing but under-utilisation of technology in higher
education along with inconsistent findings surrounding the effects of gender.
However, findings concerning the influence on technology use of factors such as
time (Davis et al., 1995; Spotts & Bowman, 1993; Willis et al., 1995), training
(Lyons & Carlson, 1995; Spotts & Bowman, 1993; Wetzel, 1993), equipment and
resources (Spotts & Bowman, 1993), and evidence about improved learning
outcomes (Spotts & Bowman, 1993) were more consistent, as were perceptions
about the importance of valuing teaching as opposed to research (Hesketh et al.,
1996; Kline, 1994; Ramsden et al., 1995).
Technologies and Teacher Education Writers on teacher education such as Kline (1994) claimed that multimedia
had unique potential for preservice teacher education programs. Kline (1994)
suggested that multimedia provided the answer to a predicament confronted by
teacher educators, namely, the need to provide preservice students with opportunities
to observe children, in order that they become skilled in analysing children's
behaviour. For example, field visits to classroom settings can be time consuming,
difficult to organise and often intrusive for schools and children. The accuracy of
students recordings made during such visits can also be difficult to determine. Kline
(1994) proposed that multimedia simulations were an effective and efficient
alternative to field visits. He maintained that simulations incorporating video
sequences and accompanying text, exercises, and feedback presented an authentic
and interactive context for learning about observation in school settings. Using
simulations, groups of students were able to observe and discuss identical events that
could be pre-selected according to their specific learning needs. In addition, such
controlled conditions made it possible for teacher educators to assess students'
mastery of observational techniques and understanding of child behaviours.
38
Berry (1994) claimed that simulations provided realistic experiences in which
students could apply problem solving and decision-making skills. He maintained
they were an effective means of preparing students for situations they were likely to
encounter in the classroom. According to White (1995), simulations actively engaged
learners in interactive, realistic and meaningful learning activities that encouraged
problem solving and reflection. This form of learning, explained White (1994), was
consistent with constructivist principles. Kenny, Covert, Schilz, Vignola, and
Andrews (1995) also noted that information presented in multiple formats provided a
rich learning environment reflective of a constructivist view of learning. They
suggested that the use of multimedia simulations and case studies could provide an
intermediate step between the more abstract level of theory and "the complex, even
messy, world of professional practice" (p. 173). From their study of preservice
students’ use of CD-ROM classroom vignettes, they concluded that multimedia
instruction was not only appealing, it could be effective in facilitating reflective
decision-making among student teachers.
However, perhaps the most powerful argument for the use of technologies
such as multimedia in education, was that teachers needed exposure to new
technologies in order to be prepared for the increasingly complex instructional
environments that confronted them. In 1993 in America, instructional technology
was already entrenched in the school systems with 4.5 million computers installed in
the nations’ schools. Aston and Schwarz (1994) revealed that at that time, 40% of
school districts were also utilising integrated learning systems. In Australia,
Newhouse (1994) noted that most schools in 1994 had significant numbers of
computers, with some having one computer for each student.
As noted by Bowes (1994), the development of children’s information skills
was already viewed by the United Nations as a fundamental right because these skills
were considered to be “the key to open access to information, to culture and to
knowledge” (p. 121). Bowes (1994) noted that in order to facilitate this skill
development in Australia, reports by Carmichael (Employment and Skills Formation
Council, 1992), Finn (Australian Education Council review Committee, 1991) and
Mayer (Committee to advise the Australian Education Council, 1992), along with the
National Curriculum Statement for Technology (Department of Employment,
39
Education and Training,1992; cited in Bowes, 1994), called for all school teachers to
have basic skills in information technology. Furthermore, governments in New South
Wales and Queensland developed specific policies concerning the use of computer
technology in schools. In 1996, Tinkler, Lepani and Mitchell noted that priorities
outlined by the New South Wales government included the following:
Every syllabus will state how computers can enhance the teaching and learning of
each subject.
Computers will not take over the classroom. Teachers will remain in charge and use
computers as a teaching tool for the whole class.
Every school will be connected to a superhighway to link schools to the information
of the world.
All new teachers in government schools will be computer literate and have the
proven capacity to use computers in the classroom.
(Tinkler, Lepani & Mitchell, 1996, p. 10, 11).
At the local level, the Queensland Schools Computer Policy (1991; cited in
Tinkler, Lepani & Mitchell, 1996) stipulated that its priority was for teachers and
students to use technology in order to process information, investigate, test and
extend knowledge. In relation to the role of teachers in the achievement of this, the
policy stated:
Teachers will acquire skills and competencies in the use and application of
computers to ensure support for the integration of learning technology across
the P-12 curriculum (Tinkler, Lepani & Mitchell, 1996, p. 13).
In order to realise the development of these skills and competencies, the
Queensland Schools Computer Policy also stated that teachers required:
Access to computer software and hardware;
Access to relevant policies and guidelines; Access to technical advice and support;
Advice on available resources; and,
On-going professional development and support.
40
While professional development programs are needed to ensure that current
teachers become skilled in the use of technologies, many researchers and
practitioners agreed that competency in the use of technology begins when students
are exposed to quality, integrated technology experiences in their teacher preparation
courses (Thompson & Schmidt, 1994). As Thompson and Schmidt stated, if new
teachers were to effectively employ technology in the classroom, they must have
appropriate experiences and instruction throughout their preservice program. This
instruction, claimed Munday, Windham and Stamper (1991; cited in Lyons &
Carlson, 1995), should be provided by role models in the higher education setting.
It was apparent that many teacher education programs were under growing
pressure from various organisations to equip students with a working knowledge of
new technologies. One such organisation, The International Society for Technology
in Education (ISTE) (Thomas, 1991; cited in Espinoza & McKinzie, 1995), decreed
that "all teacher preparation programs must provide fundamental concepts and skills
for applying information technology in educational settings" (p. 14). The directives it
outlined for teacher education programs were to demonstrate knowledge and uses of
multimedia, hypermedia, and telecommunications; to use computer-based
technologies to access information to improve personal and professional
productivity; and to apply computers and related technologies to facilitate emerging
roles of the learner and the educator.
Although organisations such as the United States Office of Technology
Assessment (1988; cited in Lyons & Carlson, 1995) have claimed that adequate
training in the use of technology was "the most important ingredient affecting the
implementation of new technology” (p. 753), several authors maintained that most
teachers experienced little or no training (Cunningham & Brown, 1994; Handler,
1993; Kline, 1994; Lyons & Carlson, 1995). Kline (1994) for example, claimed that
while university education, in general, lagged behind the business world in terms of
its use of technology, the preservice teacher education of teachers was even slower.
Likewise, a study by Handler (1993) revealed little evidence that typical preservice
teacher education programs were permeated with opportunities to work with
technology. Instead, what was apparent, was that in many classrooms, from early
childhood to senior high school, students demonstrated more comfort and expertise
41
in the use of computers than their teachers. The American Association of Colleges
for Teacher Education also maintained that beginning teachers were inexperienced in
using technology, even though in America, the ability to effectively use technology
was rapidly becoming a prerequisite skill for securing a teaching position (Lyons &
Carlson, 1995). Cunningham and Brown (1994), claimed that the situation in
Australia was much the same. They maintained that preservice training made little
use of technology, relying instead on lectures and group tutorials.
While research into the use of technologies in preservice teacher education
prior to 1997 was patchy, findings from studies were surprisingly consistent. Studies
revealed that although most preservice and graduate teachers considered technology
experiences to be an important component of their training, many were
uncomfortable with the prospect of utilising technology in the classroom (Handler,
1993; Hochman, Maurer & Roebuck, 1993; Liu, Reed & Phillips, 1990; cited in
Gabriel & MacDonald, 1996) and regarded their training in the use of technology to
be inadequate (Colon, et al., 1995; Oliver, 1994). For instance, a study of teachers by
Topp et al. (1995) found that nearly 70% rated their preparation in college to use
computer technology as inadequate. Likewise, Colon et al.'s (1995) study of new
teachers in the United States found that 85% felt they were minimally to poorly
prepared to use technology in the classroom and only 13% believed that their
preparation was adequate or better. Of these teachers, 74% considered the use of
information technology to be very or extremely important to their training but
reported very little personal or faculty use of technologies throughout their training.
From these findings, Colon et al. (1995) concluded that progress toward effective
integration in teacher education programs was painfully slow.
In order to investigate cross-cultural differences on a range of issues related
to technology, Davis et al. (1995) surveyed teachers in their first or second year of
teaching in schools throughout the United Kingdom and the United States. The
researchers sought information on attitudes towards, or experience with, a range of
technologies including multimedia. The study revealed that 97% of teachers in the
United Kingdom and 64% of American teachers reported that they were taught with,
or taught how to use, some information technologies during their training. Despite
this, only 20% of teachers in the United Kingdom and 13% of American teachers
42
reported that they were well prepared to use information technologies.
It appears that even when preservice teacher education students undertake
specific information technology courses, many still feel unprepared to use
technology in the classroom. Handler (1993) noted that 98% of all teacher education
programs in America provide a technology oriented course, but found that only 22%
of undergraduates and 14% of first year teachers felt confident about using
technology in the classroom. Although students regarded the technology course as
being valuable, they indicated that equally important to their preparation was the
opportunity to observe academic faculty members using technology.
The importance of academics modelling the use of technology has also been
raised in studies cited by Wild (1994). Wild (1994) refers to research by Gooler
(1989), Davis (1992), Handler, (1993) and Wright (1993) which noted positive
outcomes of modelling technology use by lecturing staff for new teachers’ use of
technology in the classroom. Faculty modelling was also found to be related to
technology use in Huang's (1994) United States study of preservice teachers. Huang
(1994) investigated relationships between attitudes towards technology, use of
technology and characteristics such as gender and faculty use of technology.
Findings revealed that both utilisation and valuing of technology were significantly
correlated with faculty influence and gender. Students who reported more positive
faculty influence also reported higher valuing and greater use of technology than
those who did not. Overall, female students reported greater use and higher valuing
of technology than males. Huang (1994) noted, however, that compared with the
generally high value accorded to technology, the actual use of technology among
preservice teachers was low.
Low computer usage rates were also reported in Oliver's 1994 study of first
year teachers in Western Australia. In relation to preservice training in the use of
computers, Oliver (1994) found that 41% regarded their training as poor or very
poor, 32% reported receiving no formal computer education and of this group, 75%
had not been exposed to computers at all during their training. Within the school
setting, 60% of teachers reported that access to hardware and software was good, and
almost half reported that software quality was high to very high. Despite this, up to
43
75% of teachers made little or no use of computer technology and most considered
their usage to be significantly less than that of their peers. Concerning training needs,
all teachers considered training in computers to be a priority, with 90% regarding
this as a high or very high priority. When asked what might lead most to an
improvement in preservice computer training, teachers suggested a need for a formal
or compulsory unit in computer education and demonstrations in how to use and
apply a range of software packages.
According to Grandgenett et al. (1992), the challenge for teacher education
institutions, therefore, was to determine the best approach to help their students
become effective users of technology. Handler (1993) acknowledged that while this
may entail revising current teaching programs, it was the only way to ensure that
new teachers met the standards and requirements of schools in which they were
placed.
Immediate Study Context
At the time of the first phase of research, the impact of technology was
starting to filter into policy documents at the QUT. Of the six objectives documented
in the university-wide 1995-2000 Strategic Plan, for instance, two referred to
technology. These were: “provide teaching and learning environments which… make
the best use of appropriate technologies; and, offer courses of study which are
innovative, flexible…” (p. 10). In order to achieve this, two of the 17 strategies also
referred to technology. One of these focused on infrastructure – “the provision of
high quality educational technology” (p. 11), the other on human resources – “review
the strategic focus of academic staff development to enhance its contribution to the
University’s teaching and learning objectives and to recognise changes in the staff
profile and in the modes of course delivery” (p. 11). Of the 15 quantitative targets,
the one that explicitly noted technology stated, “By 1999, at least 10% of all first
year undergraduate contact hours will be computer based on or off campus, with
70% of schools involved” (p. 12).
In addition, an initiative to allocate yearly funding to teaching and learning
projects that utilised technology was also established at this time, along with the
44
development of policies promoting staff incentives to improve teaching. Among
these incentives were personal promotion and Awards for Outstanding Contribution
to teaching excellence (QUT Strategic Plan, 1995-2000).
Surprisingly, for the largest provider of preservice and graduate teacher
education programs in Australia (QUT, 2002), there were no specific policies within
the Faculty of Education that related to equipping preservice teachers with
technology skills. Similarly, at the Faculty level, there were no specific policies or
initiatives that related to equipping Education Faculty teaching staff with these skills.
SUMMARY AND QUESTIONS ARISING FROM THE
LITERATURE
The review of literature raised a number of specific questions related to
perceptions and use of technologies such as multimedia in higher and preservice
teacher education. These questions underscore the current program of research and
are reflected in the overall research objectives outlined on p. 9.
A great deal of discussion suggested that multimedia technology had much to
offer institutions of higher education in terms of cost savings (Choo, 1994; Massy &
Zemsky, 1995; Mazzarol & Hosie, 1996), consistency and quality of teaching
(Mazzarol & Hosie, 1996), and maximising competitiveness (Fyfe & Fyfe, 1994;
Mazzarol & Hosie, 1996). Studies revealed that there was general support among
learners for multimedia-delivered instruction and suggested that students
demonstrated improved motivation (Waddick, 1995); interest (Gooley et al., 1994;
Iynkaran & Crilly, 1994); and understanding of subject content (Crosby & Stevlosky,
1995; Hsi & Agogino, 1993; Iynkaran & Crilly, 1994) when using multimedia
programs, as well as increased feelings of control over learning (Waddick, 1995).
While many students expressed a preference for multimedia-delivered instruction
over traditional methods (Gooley et al., 1994; Iynkaran & Crilly, 1994; Waddick,
1995), some also voiced concerns after using multimedia. Concerns included
problems in accessing computers, inability to ask questions (James et al., (1995), and
difficulty understanding navigational instructions (Kenny et al., 1995). Therefore,
what perceptions do academic staff and graduate teachers hold in relation to the use
45
of new technologies such as multimedia in the delivery of higher education?
(Academic staff research objective 1, Graduate teacher research objective 1).
It was apparent from the literature, that technologies such as multimedia were
under-utilised in higher education. Many writers attributed under-utilisation to
negative faculty attitudes (Benavides & Surry, 1994; Forgo & Koczka, 1996; Heron,
1996; Massy & Zemsky, 1997; Murphy, 1994; Reeves; cited in McNaught, 1995),
but these claims remained largely unsubstantiated. Instead, emerging from the
research, were indications of a somewhat paradoxical situation in which technology
was highly valued but nevertheless neglected, by faculty in higher education. While
investigations of the relationship between technology use and faculty variables, such
as gender and rank provided inconsistent findings, research into factors that impacted
upon faculty use of technology proved insightful. Factors identified as affecting
technology use included lack of time (Davis et al., 1995; Spotts & Bowman, 1993;
Willis et al., 1995), lack of training (Lyons & Carlson, 1995; Spotts & Bowman,
1993; Wetzel, 1993), lack of equipment and resources (Spotts & Bowman, 1993),
and insufficient evidence that technology enhanced learning (Spotts & Bowman,
1993). Several studies also indicated that many academics believed that teaching was
undervalued compared to research or publishing (Hesketh et al., 1996; Kline, 1994;
Ramsden et al., 1995), while others writers suggested that change, if imposed, could
discourage faculty from adopting technology (Kortecamp & Croninger, 1996; Sikes,
1992). These findings raised a number of questions, including: What are the factors
that influence technology use? (Academic staff research objective 2). And, do
academic staff feel that teaching is undervalued? (Academic staff research objective
3).
While research into the use of technologies in preservice teacher education
was patchy, findings from studies were surprisingly consistent. As previously
discussed, computer-based technologies such as multimedia were thought to have
particular relevance for preservice teacher education students because of the growing
need for teachers to be technologically literate. Indeed, reports from new teachers
demonstrated much agreement regarding the importance of training in the use of
46
technologies (Colon et al., 1995; Huang, 1994; Oliver, 1994). However, studies also
revealed that many new teachers did not use technology in their classrooms because
they lacked confidence (Handler, 1993; Hochman, Maurer & Roebuck, 1993; and
Lui, Reed, & Phillips, 1990; cited in Gabriel & MacDonald, 1996). Furthermore,
there was also widespread dissatisfaction among new teachers regarding their
training in technology use, with many rating their training as inadequate (Colon et
al., 1995; Oliver, 1994; Topp et al., 1995). Although it was widely believed that
students benefited from observing faculty using technology (Handler, 1993; Huang,
1993; Wild, 1994; Wright, 1993), insights from new teachers revealed that preservice
teacher education lacked opportunities for students to observe and interact with
technology (Colon et al., 1995; Handler, 1993; Huang, 1994; Oliver, 1994; Spotts &
Bowman, 1995; Willis et al., 1995). Therefore, what factors influenced graduate
teachers’ usage of technology? (Graduate teacher research objective 2). And, what
perceptions do graduate teachers and academic staff hold in relation to preservice
preparation in technology use? (Academic staff research objective 4, Graduate
teacher research objective 3).
47
CHAPTER 3
PHASE 1 (1997): RESEARCH METHODOLOGY
INTRODUCTION
This chapter describes the overall research design for the study, the
methodology for the first phase of the research and highlights the appropriateness of
survey methodology for the purposes of data collection. The chapter outlines the
procedure for data collection, describes the participant groups and details the
measures used and the literature that informed the development of the measures. The
chapter also describes the technologies that were the focus of the study and the data
analysis techniques that were employed.
Research Design As it was the intention of this study to investigate change over time, the
program of research was conducted using a longitudinal design. According to
Menard (1991) longitudinal research is that which involves subjects or cases that are
the same or comparable from one period to the next, collects data on items or
variables on at least two occasions and compares that data over time. As opposed to
a longitudinal panel design involving identical cases, this particular study utilised a
repeated cross-sectional design in that it collected data on the same set of variables
for two periods but involved comparable, rather than, identical, cases. Menard (1991)
noted that repeated cross-sectional designs allow for the measurement of change for
well-defined groups of cases as long as the cases are comparable at the group level
from one cross-section to the next. It is essential, however, that sampling and
administration of the data collection is strictly replicated otherwise the comparability
of data may be seriously compromised.
While the strength of repeated cross-sectional research is its capacity to
examine trends in attitudes or behaviours over time, its limitations lie in its
inappropriateness for studying developmental patterns within cohorts and its inability
to reliably determine causal order (Menard, 1991). As it was not the intention of this
program of research to identify developmental patterns or causal order, a cross
48
sectional design was considered appropriate.
Data collection for both longitudinal and cross sectional research can involve
experiments, case studies, ethnographies, censuses, archival data, and sample
surveys (Menard, 1991). The research reported in this thesis is based on survey
methodology. Surveys are an appropriate means of gathering data from a large
number of individuals and can be an efficient and practical means of data collection.
According to Rea and Parker (1992), in situations when accurate information about
large populations is required and enough is known about the population to formulate
specific questions, there is no better method of research than the survey process.
Fowler (1988) explained that because survey research employs questions and items
that are consistent across individuals, it provides comparable information about
respondents in a research study.
The program of research was conducted in two phases. To ensure that the
research program met with ethical protocols, ethical clearance was obtained from the
University Human Research Ethics Committee at QUT prior to the commencement
of data collection.
In both phases, self-administered survey questionnaires were delivered or
mailed to academic staff and graduate teachers. The advantages of self-administered
surveys have been well documented and include increased anonymity for
respondents and flexibility in terms of how, when and where the questionnaire is
completed. In addition, because there is no interviewer, there is also no likelihood of
interviewer bias (Rea & Parker, 1992). However, according to Fowler (1988) lack of
interviewer presence can in itself be problematic. Fowler (1988) explained that if
respondents require assistance with their survey, no one is present to help them. This
situation can be partially remedied by inviting respondents to telephone those
responsible for the survey should they have any queries. Unlike interviews, self-
administered surveys also place more of a burden on the reading and writing skills of
the respondent. This can be problematic in situations where there are low levels of
literacy among respondents. In addition, the success of self-administered surveys can
be hampered by biased responses and low return rates. Fowler (1988) contended that
sometimes only those interested in the research issue make the effort to complete and
49
return a questionnaire. Nevertheless, he argued that when follow-up procedures are
in place to remind respondents to return the survey, or when they are distributed to
groups, self-administered surveys should achieve acceptable return rates.
The survey questionnaires used in this research gathered quantitative data
from closed questions and qualitative data from open questions. Closed questions
refer to questions for which a list of acceptable alternatives is provided from which a
response is selected, while open questions do not provide any response options
(Fowler, 1988). It was anticipated that such an approach involving closed and open-
ended questions would provide greater insight into the complex area of investigation.
Bryman (1988) explained that while quantitative methods are oriented to the special
concerns of the investigator and can effectively establish or reveal response patterns,
qualitative information gathered through open-ended questions are more oriented to
the participants’ perspectives. As such, qualitative information enables events,
actions, norms, and values to be viewed from the perspective of the people being
studied (Bryman, 1988).
In this research, closed questions were more frequently used in the survey
questionnaires for several reasons. According to Rea and Parker (1988) they are less
onerous to the respondent because a choice of responses is provided. Not only can
this make the task of answering a question easier, it can help to clarify the meaning
of a question. This is important because when questions are understood, the
likelihood of extraneous and irrelevant responses is lessened. In addition, closed
questions enhance the reliability and uniformity of responses thereby facilitating
comparisons among respondents (Fowler, 1988). Wiersma (1991) suggested that
closed questions have the added advantage of simplifying data tabulation. Despite
their strengths, closed questions can be inherently constraining for respondents. They
may also present problems when they are misunderstood or when a respondent
cannot find an appropriate response. Rea and Parker (1992) noted that under these
circumstances, a respondent might instead select an erroneous response.
While closed questions promote response consistency and ease of data
tabulation, open-ended questions also have specific value. Fowler (1988) noted that
respondents appreciate the opportunity to answer some questions in their own words.
50
Unlike closed questions, questions that are open provide respondents with an
opportunity to articulate feelings and beliefs that are most salient to them (Bryman,
1988). The use of open-ended questions is also appropriate when the list of possible
answers is longer than is feasible to present to respondents and when the answers
cannot be anticipated (Fowler, 1988). Although they offer particular advantages, Rea
and Parker (1988) suggest that open-ended items in self-administered questionnaires
should be limited. Open questions, they caution, can be difficult to interpret, time
consuming to code and often produce unusable data. The use of both open-ended and
closed questions in the present research provided a balance between the advantages
and disadvantages of the respective question formats.
Method During both phases of the research, self-administered questionnaires were
used to collect data. The surveys were designed to elicit academic staff and graduate
teachers' perceptions and usage patterns surrounding computer-based technologies.
They also elicited information from the respective groups about their attitudes
concerning the value and effectiveness of preservice teacher education in preparing
new teachers to use computer-based technologies in schools.
Participants Participants in both phases of the research were academic faculty members
and graduate teachers from two four-year degree courses in the Faculty of Education
at QUT. The rationale behind the selection of staff and graduates from the same
university was the assumption that any differences in survey responses stemmed
from differences among respondents rather than differences in the experiences to
which the respondents had been exposed (Fowler, 1988). In addition, being the
largest provider of preservice teacher education courses in Australia, QUT provided
a potentially large pool of participants. While, it is acknowledged that this single
context limits the generalisability of findings to other universities, many prior studies
of technology use have also focused on single university sites (Crosby & Stevlosky,
1995; Fyfe & Fyfe, 1994; McNaught, 1995; Spotts & Bowman, 1993, 1995; Wetzel,
1993; Waddick, 1995).
51
Academic staff participants, in both phases of the research, were full-time
teaching staff within the Faculty of Education at Queensland University of
Technology who taught in either the Bachelor of Education (Early Childhood) or the
Bachelor of Education (Primary) courses. It was felt that surveying two groups of
teaching staff within a single university faculty would ensure commonality of
experience among participants, in terms of their work context. Additionally, it was
hoped that a reasonably sized sample could be obtained.
The graduate teachers in the first phase of research comprised Bachelor of
Education graduates from both the 1995 and 1996 Early Childhood and Primary
courses in the Bachelor of Education at QUT. At the time of the study, therefore,
these graduate teachers had embarked on their first or second year of teaching. The
selection of QUT graduates permitted the comparison of their experiences and
recollections with those of their academic staff. Early childhood and primary
teaching graduates were selected for the study due to their training for, and teaching
in, general education classrooms. Secondary teaching graduates were not included in
the study because of their subject-specific training and teaching and the differential
emphasis on technology use across these subjects.
Procedure Prior to distribution, questionnaires were first piloted with a subset of
respondents. These respondents were also asked to provide comments on the clarity
of questionnaire items. This feedback assisted in the refinement of the final
instruments employed in both phases of the research. In Phases 1 and 2 the
questionnaires for academic staff were distributed to each full-time teaching staff
member involved in teaching in either the Bachelor of Education (Primary) or the
Bachelor of Education (Early Childhood). These staff members were identified using
the computer-based data warehouse system available at the university. Completed
questionnaires were returned to the researcher via the internal mailing system.
Survey questionnaires for graduate teachers were distributed via mail. Addresses for
graduate teachers were obtained via the graduate Student Information System. To
ensure ease of return, questionnaires for graduate teachers were distributed with
reply-paid envelopes. In order to maximise the return of questionnaires, two weeks
after the initial distribution of questionnaires, reminder letters were sent to both
52
academic staff and graduate teachers.
Measures Questionnaires were developed for the academic staff and graduate teacher
groups. However, because it was the intention to compare particular responses across
the groups, many items were common to the two questionnaires. Each of the
questionnaires included selected-response items (rating scales and forced-choice
items) and open-ended questions.
The questionnaires in both phases sought information about attitudes,
knowledge and usage patterns related to five types of computer-based technologies.
In Phase 1, these technologies comprised computer assisted instruction (CAI);
multimedia; audiographics; the Internet; and electronic mail (Email). The
technologies were selected for the following reasons. Firstly, they had been cited in
the literature as being 'innovative' or 'new' technologies which were likely to play an
increasing role in the delivery of education (Lyons & Carlson, 1995; Mazzarol &
Hosie, 1996; Spotts & Bowman, 1995). Secondly, as the technologies had been used
to varying degrees at QUT, it was felt that participants in the study would be
reasonably familiar with them. In addition, the investigation of a range of computer-
based technologies (rather than focusing exclusively on multimedia) would provide
greater insight into technology use and enable some findings to be compared with
those of previous research. Nevertheless, due to its prominence in the literature and
widespread claims about its potential to revolutionise teaching and learning in higher
education (Felix & Askew, 1996; Grandgenett et al., 1992; Issing, 1996; Kennedy,
1995; Love & Gosper, 1995; Valmont & Blanco, 1995), a variety of questions
focused exclusively on multimedia.
To promote consistency among the respondents’ understanding of the
technologies referred to in the questionnaires, descriptions of each of the
technologies were provided in the questionnaires. These descriptions were as
follows:
Computer-assisted Instruction (CAI) - basic, independent and self-paced
computer-aided learning programs which are generally linear in format and do
53
not feature sound or video. CAI is often used for exams and drill and practice
exercises.
Multimedia (as exemplified by CD-ROMS) - relatively new computer-based
technology. Multimedia programs can be highly interactive in nature and feature
combinations of text, sound, animation, video, and graphics. Multimedia/ CD-
ROM computers do not necessarily have Internet access.
Audiographics - simultaneous use of telephones and computers to link people
(for example, groups of students and teachers) at a distance.
The Internet - information source best known for the World-Wide-Web. You do
not need a Multimedia/ CD-ROM computer to access the Internet but you do
need to be 'on-line' or networked to a site.
Electronic Mail or E-mail - computerised communication system that enables
people to receive and send messages via their computers.
1997 Academic Staff Questionnaire
The measure developed to survey academic staff in Phase 1 of the research
was The Academic Staff Questionnaire (Appendix A). This 49-item questionnaire
comprised questions that were developed specifically for the research as there were
no measures available which met the requirements of the research. Several items
were, however, adapted from survey instruments developed by Davis et al. (1995),
Spotts and Bowman (1993; 1995); and Willis et al. (1995). In these cases, scales that
were employed in the previous studies were used. The Academic Staff Questionnaire
comprised five sections. A summary of section items and the sources that contributed
to their development is presented in Table 6.1. In the following sections, detailed
information is provided about the questionnaires and the rationales underpinning the
inclusion of the various questions.
Section A. Demographics and Computer Ownership
This section of the questionnaire, items A1 to A7, focused on demographic
information and computer ownership. Respondents were asked to indicate their
gender, years of lecturing experience, and the course in which they primarily taught
(Early Childhood or Primary). In addition, they were asked to indicate if they owned
54
a computer, and if they did, whether or not it had a CD-ROM drive or a Modem. The
inclusion of these questions stemmed from findings by Spotts and Bowman (1995)
who revealed significant relationships between home computer ownership and
increased knowledge of, and experience with, 'newer' or computer-based
technologies. It was hypothesised that ownership of a CD-ROM computer and or a
modem might further enhance such a relationship.
Section B – Knowledge and Use of Computer-Based Technologies
The second section of the questionnaire contained eleven items that sought
information related to knowledge about, attitudes towards, or use of the five
computer-based technologies previously outlined (CAI, multimedia, audiographics,
the Internet and email). It was hoped that responses to these items would provide
insight into the preparedness of academic staff to use computer-based technologies in
their work. Questions B1 and B2 examined faculty knowledge about computer-based
technologies. Question B1 asked teachers to rate their level of knowledge for each of
the five technologies, described earlier in this chapter, as 'Not literate'; 'Novice';
'Intermediate'; or 'Advanced' (as used by Colon et al. in their 1995 study). Question
B2 asked faculty to indicate how their knowledge was developed by selecting from
four options - 'self-taught'; 'help from colleagues'; ‘work-based training’; or
'professional training'. This question was included to allow comparison with previous
research by Lyons and Carlson (1995) which found that most faculty members were
self-taught or received informal help from others. Questions B3 and B4 were
designed to tap perceptions of confidence and difficulty associated with using the
technologies. Question B3 required staff to rate their level of confidence for each of
the technologies as either 'Not at all confident'; 'Not confident'; 'Confident'; or 'Very
Confident'. In question B4, staff were asked to rate each of the technologies as being
'Not at all difficult'; 'Not difficult’; ‘Difficult’; or 'Very difficult’.
Questions B5, B6 and B7 were concerned with the purposes and frequency of
use of technologies for teaching and non-teaching activities. It was felt necessary to
differentiate between these two types of activities in order to gain an accurate
understanding of technology utilisation among faculty members. Questions B5 and
B6 were select-response questions that required staff to indicate how often they used
55
each of the technologies for teaching and non-teaching activities. Staff selected from
the options 'daily', 'weekly'; 'fortnightly'; 'monthly'; 'once a semester'; or 'never'. Data
from these questions was compared with findings from Spotts and Bowman's (1995)
study in which most faculty reported that they never used newer technologies such as
multimedia. Question B7 was open-ended, inviting staff to explain how they use the
technologies for these activities.
Questions B8 and B9 examined faculty perceptions about their future use of
computer-based technologies. Staff were asked if they envisaged a ‘decrease’;
‘increase’; or 'no change’ in how often they would use technologies for teaching
(B8), and whether or not they would like to see 'less use'; 'more use'; or 'no change' in
usage (B9). Question B10, asked staff to rank order the five technologies according
to their perceived usefulness to their teaching. Question B11 asked staff to rate each
of the technologies as being 'Not important'; 'Reasonably important'; or 'Very
important' to the delivery of university education. While previous research has
reported that faculty consider technology to be important to university and teacher
education (Spotts & Bowman, 1995; Willis et al., 1995), no differentiation of
specific technologies has occurred. Data from questions B10 and B11 provided
insight into the relative importance and usefulness of the various computer-based
technologies.
Section C – Preparing Students for using Computer-Based Technologies
Part three of the questionnaire comprised four items related to preparing
student teachers to use technology. While some research has explored students' and
graduate teachers' feelings of preparedness to use technologies (Colon et al., 1995;
Davis et al, 1995; Handler, 1993; Oliver, 1994), very little has been documented
about how faculty view the adequacy or importance of technology preparation for
teachers. Items in this section were replicated in the preservice and graduate teacher
questionnaires to allow for comparison of findings across the three groups. Question
C1 asked teaching staff to rate on a 5-point scale ranging from 1 (Not important) to 5
(Extremely important), the importance of preparation in the use of computer-based
technologies. Comment was invited on this question to allow respondents to discuss
why they felt the way they did. Question C2 required staff to rank order each of the
56
five technologies according to their importance to early childhood and primary
teacher preparation. Question C3 was a select-response question that investigated
faculty perceptions of the adequacy of preparation to use technology. Staff were
asked to rate preparation for using technology from 1 (Not prepared) to 5 (Very well
prepared). The final question in this section addressed the issue of responsibility for
training in the use of technologies. Many educationalists believe that teacher
education institutions are responsible for preparing teachers to use technology
(Grandgenett et al., 1992; Handler, 1993; Thompson, 1994). Question C4 required
staff to nominate who they believed was accountable for training in technology use -
universities; schools; or both universities and schools.
Section D – Multimedia use in Higher Education
The fourth section of the questionnaire, comprising 23 items, addressed
attitudes to and usage patterns surrounding multimedia technology. Question D1, a
closed-response question, was designed to ascertain perceptions of the value of
multimedia delivered instruction compared to that delivered by traditional lecture.
This question was also included in the graduate teacher questionnaire to identify
whether similar values were held by the two groups. Proponents of multimedia-
delivered instruction have proposed particular advantages for students associated
with the use of multimedia technology, namely increased flexibility (Fyfe & Fyfe,
1994), control (Felix & Askew, 1996), interactivity (Simpson, 1994), motivation
(Waddick, 1995), interest (Iynkaran & Crilly, 1994), effectiveness (Hsi & Agogino,
1993), the accommodation of varied learning styles (Olivier & Buckley, 1994); and
more frequent feedback (Laszlo & Castro, 1995; Lewis & Hosie, 1994). Question 22
listed eight statements, each reflecting one of the learning dimensions. These
statements were 'Provides more flexibility'; 'Offers more control over learning'; 'Is
more interactive'; 'Is more motivating'; 'Is more interesting'; 'Is more effective';
Accommodates varied learning styles’; and 'Provides more feedback'. Response
options for each statement were four options 'Lecture', 'Multimedia', 'No Difference',
or 'Undecided'. Questions D2 and D3 were open-ended questions that asked staff to
articulate what they believed were the advantages and disadvantages of using
multimedia technology in the delivery of higher education.
57
Questions D4 to D14 addressed the presence or absence of factors that,
according to the literature, are conducive to technology use among university faculty.
Factors included in these questions have been found by Spotts and Bowman (1993)
to be important influences on faculty use of instructional technology, and have also
been identified in the literature as being influential. These factors to be rated by staff
in the questionnaire were:
Availability of equipment (Davis et al., 1995; Reeves, 1991; Smith, 1994;
Wetzel, 1993; Willis et al., 1995);
Evidence of improved student learning (McNaught, 1995; Murphy, 1994);
Evidence of improved student interest (Spotts & Bowman, 1993);
Ability to integrate into subject content (Benavides & Surry, 1994; Forgo &
Koczka, 1996; Murphy, 1994);
Availability of quality software programs (Davis et al., 1995; McNaught, 1995;
Wetzel, 1993; Willis et al., 1995);
Provision of training (Benavides & Surry, 1994; Davis et al., 1995; Lyons &
Carlson, 1995; Wetzel; 1993);
Adequate time (CAUT, 1995; Mackie & Corbly, 1995; Murphy, 1994; Smith,
1994; Willis et al., 1995; Wong & Smith, 1995);
Ongoing technical advice and support (Davis et al., 1995; Dolly, 1995);
Faculty support (Davis, et al., 1995; Dolly, 1995);
Comfort with technology (Davis et al., 1995; Munson, Poage & Conners, 1995;
Willis et al., 1995);
Rewards such as contribution to promotion or tenure (Hesketh et al., 1996).
Respondents were asked to indicate on a five-point scale ranging from 1
(Strongly agree) to 5 (Strongly disagree), the extent to which they agreed or
disagreed with each statement. For example, concerning the availability of training,
question D9 asked faculty to indicate the extent to which they agreed or disagreed
with the statement 'Equipment for using multimedia technology is readily available
in my department'.
Questions D15 and D16 were identical in the rating response options for
questions D4 to D14, but focused on the future of multimedia in higher education.
58
These questions asked faculty whether multimedia technology integration was
necessary for universities to remain competitive, and whether or not multimedia
should play a growing role in the delivery of higher education. The intention of these
questions was to determine whether faculty views coincided with claims that an
increasingly competitive higher education climate would necessitate growth in
multimedia delivered instruction (Bonner et al., 1995; Felix & Askew, 1996; Fyfe &
Fyfe, 1994; Mazzarol & Hosie, 1996; Spotts & Bowman, 1995).
Questions D17, D18 and D19 were concerned with change in educational
settings. According to change theorists, the development and adoption of new
materials by teachers constitutes modifying or changing one's beliefs and practices
(Bailey & Palsha, 1992). When change is imposed with little or no consultation, it
can challenge professional judgment and be met with resistance (Sikes, 1992).
Questions D17, D18 and D19 were designed to elicit information about these issues.
They asked staff whether or not they felt pressured to use multimedia in their
teaching (D17); whether or not they felt that such pressure would undermine their
teaching abilities (D18); and whether or not they were consulted about their
willingness to use multimedia in teaching (D19). Again, staff were asked to indicate
on a five-point scale ranging from 1 (Strongly agree) to 5 (Strongly disagree), the
extent to which they agreed or disagreed with each statement.
Questions D20 and D22 re-examined the eleven factors thought to be
conducive to the use of technology. The intent of these questions, however, was to
determine the degree to which they would act as incentives or barriers to technology
use. Question D20 comprised a list of the eleven factors rephrased to express a
possible incentive, for example 'Availability of equipment' and 'Evidence of
improved learning'. Staff were required to check each factor according to whether it
would act as a 'moderate incentive'; 'significant incentive'; or 'no incentive'.
Question D23 comprised the same factors, but this time they were rephrased
to express a potential barrier, for example 'Lack of equipment' and 'No evidence of
improved learning'. Staff were required to check each factor according to whether it
would act as a 'Moderate barrier', a 'Significant barrier' or 'Not a barrier'. By
comparing responses to questions D4 to D14 with responses to questions D20 and
59
D22, it should be possible to identify the degree to which the presence or absence of
each of the eleven factors encouraged or prevented staff from using multimedia. For
example, if staff indicated that training was not available (Q.D9), but indicated that
availability of such training would be a significant incentive to use multimedia
technology (Q.D20), it could be proposed that the introduction of training programs
would be successful in encouraging staff to use this technology. It was thought that
responses to question D22 (potential barriers) would provide further clarification of
the need for training. Those faculty who indicated that training would act as an
incentive to use multimedia technology would be more likely to indicate that lack of
training would be a barrier to technology use. Regarding the presence or absence of
rewards such as contribution to promotion or tenure (as determined by responses to
question D14) if faculty indicated that this was not present but also indicated that its
presence would not act as an incentive to using multimedia technology, it was
possible to conclude that rewards such as promotion would be unlikely to encourage
staff to use multimedia technology. Questions D21 and D23, were open-ended
questions that asked staff to note any additional incentives or barriers to using
multimedia technologies in their teaching.
Section E – Valuing and Recognition of Teaching in Higher Education
The final section of the questionnaire was concerned with academic staff and
institutional valuing of three academic activities typically undertaken in universities -
teaching, research, and publishing. Previous research in Australia and overseas
revealed that academics not only consider teaching to be less important to their
promotion or confirmation of tenure than publishing or research, they have claimed
that innovations in teaching are rarely recognised or rewarded by institutions (Davis
et al., 1995; Hesketh et al., 1996; Ramsden et al., 1995). Furthermore, academics
have reported that increasing pressure to publish could jeopardise the quality of their
teaching (Ramsden et al., 1995). Questions E1, E2 and E3 were designed to shed
light on the valuing of these three academic functions in the university setting.
Question E1 asked academic staff to rank order teaching, research, and publishing
according to which they thought was valued most to least in their workplace. In order
to ascertain whether or not discord existed between institutional and personal values,
question E2 asked staff to rank order the activities according to how they felt they
60
should be valued. Question E3 asked faculty to indicate how strongly they agreed or
disagreed that innovation in teaching deserved greater recognition. Question E4
asked whether this greater recognition would encourage their use of technologies in
teaching. The focus of questionnaire sections and the rationale for questions are
presented in Table 3.1
61
Table 3.1 1997 Academic Staff Questionnaire Sections and Literature Support. Section Focus of sections Literature sources and support
for questions A
Demographics and computer ownership Gender, teaching area, number of years teaching and rates of computer-ownership
Spotts and Bowman (1995)
B
Knowledge and use of computer-based technologies Knowledge and confidence levels, sources of knowledge, difficulty of use, frequency and examples of use, future use, usefulness to teaching and importance to higher education
Colon et al. (1995), Lyons and Carlson (1995), Spotts and Bowman (1995), Willis et al. (1995).
C
Preparing students for using technologies The importance of technologies to teacher preparation, the adequacy of preparation, and the responsibility for such preparation
Colon et al. (1995), Davis et al. (1995), Grandgenett et al. (1992), Handler (1993), Oliver (1994), Thompson (1994).
D Multimedia Use in Higher Education Attributes of multimedia and the lecture and identify the advantages and disadvantages of multimedia use The presence or importance of a range of facilitators, barriers and incentives to multimedia use
Bailey and Palsha (1992), Benavides and Surry (1994), Bonner et al. (1995), Davis et al. (1995), Dolly (1995), Felix and Askew (1996), Forgo and Koczka (1996), Fyfe and Fyfe (1994), Hesketh et al. (1996), Hsi and Agogino (1993), Iynkaran and Crilly (1994), Laszlo and Castro (1995), Lewis and Hosie (1994), Lyons and Carlson (1995), Mazzarol and Hosie (1996), McNaught (1995), Murphy (1994), Olivier and Buckley (1994), Ramsden et al. (1995) Reeves (1991), Sikes (1992), Simpson (1994),Smith (1994), Spotts and Bowman (1993), Spotts and Bowman (1995), Waddick (1995), Wetzel (1993), Willis et al. (1995)
E
Valuing and recognition of teaching in higher education Valuing of teaching research and publishing, and the importance and effect of recognition for teaching
Davis et al. (1995), Hesketh et al. (1996), Ramsden et al. (1995).
62
1997 Graduate Teacher Questionnaire
The measure used to survey graduate teachers in Phase 1 of the research was
a 31-item questionnaire. Several items in the questionnaire were common to The
Academic Staff Questionnaire allowing for the comparison of findings across the
groups. The Graduate Teacher Questionnaire, like The Academic Staff
Questionnaire, was developed specifically for the research as there were no
established measures that met the requirements of the current research. A number of
items in the questionnaire were, however, adapted from measures developed by
Colon et al. (1995) and Willis et al. (1995). The questionnaire is presented in
Appendix B.
Section A – Demographics and Computer Ownership
The questionnaire was divided into three sections. Section A focused on
demographic characteristics and was comprised of questions about gender, age,
teaching specialisation (early childhood or primary), and months of teaching
experience. Like academic staff, graduate teachers were also asked to indicate if they
owned a computer and if they did, whether or not it had a CD-ROM Drive and
Modem.
Section B – Attitudes Towards and Usage of Computer-Based Technologies at Work
Section B of the questionnaire focused on computer-based technologies in the
teaching workplace. The eleven items addressed issues such as knowledge,
confidence, current and future usage levels, and perceived usefulness. It was thought
that data from these questions would provide an indication of teachers' readiness to
use each of the technologies. Questions B1, B2, and B3 were concerned with
knowledge and confidence levels associated with using computer-based
technologies. These issues were examined in a study by Colon et al. (1995) which
found that most recent teacher graduates who participated in the study rated their
level of knowledge about technologies as 'novice' or 'intermediate' and few were
willing to use technologies in their teaching. Question B1 asked teachers to rate their
level of knowledge for each of the five technologies, described earlier in this chapter,
as 'Not literate'; 'Novice'; 'Intermediate'; or 'Advanced' (as used by Colon et al. in
their 1995 study). Question B2 explored how this knowledge was developed - 'self-
63
taught'; 'help from colleagues'; 'work-based training'; 'preservice teacher education';
or 'other', while question B3 asked teachers to rate their level of confidence as 'Not at
all confident'; 'Not confident'; 'Confident'; or 'Very confident'. This question was
included because research by Handler (1993) found few preservice teachers felt
confident about using technology in the classroom. Questions B4, B5, B6 and B7 of
the questionnaire were concerned with the use made of the various technologies for
two types of work activities - actual classroom teaching and professional activities
other than teaching (for example, postgraduate study). It was felt that a clearer and
more thorough understanding of technology use in schools would be gained if
teaching and non-teaching uses were differentiated.
Question B4 required teachers to indicate how frequently they used each of
the technologies in their teaching by nominating 'daily', 'weekly'; 'fortnightly';
'monthly'; 'once a semester'; or 'never'. Question B5 addressed the use made of
technologies for non-classroom teaching purposes. Question B6 asked teachers to
provide some examples of these uses. Questions B7 and B8 were concerned with
teachers' future use of the technologies. Teachers were asked to indicate whether
they anticipated 'Decrease'; 'Increase'; or 'No change' in their future use of the
technologies (B7), and whether they would like to see 'Less use', 'No change'; or
'More use' or were 'Undecided' about future usage (B8).
Question B9 asked teachers to rank-order the five technologies according to
their relative usefulness to their work. The remaining two items in this section of the
questionnaire were open-ended. These questions enabled respondents to highlight
issues that could not be articulated in select-response questions. Questions B10 and
B11 of the questionnaire focused on multimedia and asked teachers to comment the
advantages and disadvantages (Q.B10) and barriers (Q.B11) associated with using
multimedia in their work.
Section C – Computer-Based Technologies and Preservice Teacher Education
The final section of the questionnaire contained 13 items that focused on
teachers' retrospective experiences with computer-based technologies throughout
their preservice teacher education. Question C1 asked teachers to indicate how
frequently they encountered each of the five technologies being used by faculty staff
64
for teaching. Questions C2 asked teachers to indicate how often they, themselves,
used the technologies at university. Question C3 asked teachers to provide examples
of how they and teaching staff used the five technologies at university. Question C4,
asked teachers to indicate how important they felt each of the five technologies was
to university teaching. As this question also appeared in the Academic Staff
Questionnaire (refer question B11), it was possible to compare the perceptions of
importance of the various technologies across the two subject groups. This question
also enabled comparison for this sample group with that of previous research which
revealed that, while graduate teachers highly valued training in the use of graduate
technologies, they made little use of them throughout their preservice teacher
education and rarely observed faculty using technology (Colon et al., 1995; Huang,
1994; Oliver, 1994).
Questions C5, C6, C7, C8, C9 and C10 matched Questions C1, C2, C3 and
C4 of The Academic Staff Questionnaire. These questions asked teachers to indicate
if they believed there should be 'More use', 'Less use' or 'No change' in the use made
of technologies for university teaching (C5); to rate the importance of preservice
preparation in the use of computer-based technologies and explain why they felt this
way (C6); to identify what subjects were studied throughout preservice teacher
education that focused on the use of technologies for school teaching (C7); to rank
the relative importance of the technologies to early childhood and primary teacher
preparation (C8); to rate the adequacy of preparation (C9); and to nominate from
'Schools', 'Universities', or 'Both schools and universities', which should be
responsible for such preparation (C10). Data from questions C5 and C9 could be
compared with findings from Colon et al.'s. (1995) study that revealed that overall,
students regarded technology as being very important to their preservice preparation
but were dissatisfied with this preparation.
Question C11, C12 and C13 of the questionnaire focused on the use of
multimedia technology in the delivery of higher education in general. Question C11
matched question D1 of The Academic Staff Questionnaire. It explored perceptions
of the espoused advantages of multimedia over the conventional lecture, namely
flexibility (Fyfe & Fyfe, 1994), control (Felix & Askew, 1996), interactivity
(Simpson, 1994), motivation (Waddick, 1995), interest (Iynkaran & Crilly, 1994),
65
effectiveness (Hsi & Agogino, 1993), the accommodation of varied learning styles
(Olivier & Buckley, 1994), and more frequent feedback (Laszlo & Castro, 1995;
Lewis & Hosie, 1994). The remaining items asked teachers to articulate what they
considered were the advantages (Q.C12), and disadvantages (Q.C13) associated with
using multimedia technology in university courses. These questions were also
included in the Academic staff questionnaire enabling responses to be compared
across the two groups. The focus of questionnaire sections and the rationale for
questions are presented in Table 3.2.
Table 3.2 1997 Graduate Teacher Questionnaire Sections and Literature Support Section Focus of questionnaire sections Literature sources and
support for questions A Demographic and computer
ownership information Gender, age, training specialisation, months teaching, computer ownership
B Knowledge and use of technologies Knowledge and confidence levels, sources of knowledge, frequency and examples of technology use, future use, usefulness to teaching, and advantages, disadvantages and barriers associated with technology use
Colon et al. (1995)
C Technology use in preservice and higher education Frequency of use, examples of use, importance of individual technologies, importance and types of technology preparation, adequacy of preparation, responsibility for teacher preparation, attributes of the lecture and multimedia compared, and the advantages and disadvantages of multimedia use.
Colon et al. (1995), Felix and Askew (1996), Fyfe and Fyfe, (1994), Huang (1995),Hsi and Agogino (1993), Iynkaran and Crilly (1994), Laszlo and Castro (1995), Lewis and Hosie (1994), Oliver (1994) Simpson (1994), Waddick (1995), Wild (1994)
Analysis of Data
Quantitative data obtained from the questionnaires were coded and analysed
using SPSS (Statistical Package for the Social Sciences) for Windows. Prior to
analyses, quantitative data were screened for accuracy of data entry and missing
values. Descriptive statistics were employed to highlight patterns or trends among
frequency data such as knowledge, confidence, current and future usage as they
66
related to the computer-based technologies.
In relation to open-ended responses, the process of qualitative analysis was
based on data “reduction” and “interpretation” (Marshall & Rossman, 1995, p. 113)
in which respondents’ statements were systematically reduced by searching for
patterns or themes among the responses before being interpreted. The first stage in
this process involved transcribing verbatim responses to each open-ended
questionnaire item. Transcriptions for each question were then read and re-read to
obtain a general sense of the information and to consider its overall meaning
(Creswell, 2003). Data were then coded by organising the various responses into
topics or themes. These themes were then colour-coded and assigned descriptive
labels or codes. As themes emerged during analysis, the data were organised
categorically. These categories were reviewed repeatedly and reduced by grouping
topics or themes that related to each other. Numbers of responses within each
category were then tabulated to provide a frequency statistic.
67
CHAPTER 4
PHASE 1 (1997): ACADEMIC STAFF EXPERIENCES
WITH TECHNOLOGY
INTRODUCTION
In this chapter, the experiences and perceptions of academic staff involved in
teaching in the Bachelor of Education (Early Childhood) and the Bachelor of
Education (Primary) are reported. This chapter commences with a brief overview of
the literature that informed this initial phase of research that focused on academic
staff. The participants and procedure are then briefly described, along with the
measurement instrument that was used. Objectives relating to this study follow. The
remainder of the chapter focuses on the study findings. The chapter concludes with a
discussion of these findings in light of previous research.
Background to Phase 1 Literature prior to the 1997 study suggested that computer-based technologies
had much to offer institutions of higher education in terms of cost savings (Choo,
1994; Massy & Zemsky, 1995; Mazzarol & Hosie, 1996), improving the consistency
and quality of teaching (Mazzarol & Hosie, 1996), and maximising competitiveness
(Fyfe & Fyfe, 1994; Mazzarol & Hosie, 1996). In particular, multimedia technology
was considered a means of facilitating flexible delivery (Stedman, 1995). It was seen
as a way of enhancing student learning through high levels of interactivity (Simpson,
1994), multi-sensory input (Dickinson, 1994; Forgo & Koczka, 1996), feelings of
control over learning (Felix & Askew, 1996; McLoughlin & Oliver, 1994; Sims &
Hedberg, 1995; Waddick, 1995), and the accommodation of individual learning
styles (Choo, 1994; Olivier & Buckley, 1994). Research had suggested that, when
using multimedia programs, students demonstrated improved motivation (Waddick,
1995), interest (Gooley et al., 1994; Iynkaran & Crilly, 1994), and understanding of
subject content (Crosby & Stevlosky, 1995; Hsi & Agogino, 1993; Iynkaran &
Crilly, 1994). However, while many students expressed a preference for multimedia
delivered instruction over traditional methods, concerns such as problems in
68
accessing computers, inability to ask questions (James et al., 1995) and difficulty in
understanding navigational instructions (Kenny et al., 1995) had also been raised.
Computer-based technologies, it was thought, had particular relevance for
preservice teacher education students because of a growing expectation that teachers
must be technologically literate. Although it was widely acknowledged that students
benefited from observing academic staff using technology (Handler, 1993; Huang,
1993; Wild, 1994; Wright, 1993), feedback from new teachers had revealed that
preservice teacher education lacked opportunities to observe and use technology
(Colon et al., 1995; Handler, 1993; Huang, 1994; Oliver, 1994; Spotts & Bowman,
1995; Willis et al., 1995). Although many writers had attributed this lack of exposure
to technology to conservative or negative attitudes of academic staff (Benavides &
Surry, 1995; Forgo & Koczka, 1996; Herron, 1996; Massy & Zemsky, 1995;
Murphy, 1994), there was little research to support that claim. Instead, emerging
from the research were indications of a somewhat paradoxical situation in which
technology was highly valued but nevertheless underutilised by academic staff in
higher education. Research into factors that affected the use of technology pointed to
lack of time (Davis et al., 1995; Spotts & Bowman, 1993; Willis et al., 1995), lack of
training (Lyons & Carlson, 1995; Spotts & Bowman, 1993; Wetzel, 1993), lack of
equipment and resources (Spotts & Bowman, 1993), and insufficient evidence that
technology enhanced learning (Spotts & Bowman, 1993). Other explanations may lie
in theories related to change. Some writers had suggested that if individuals felt
pressured to change, if the proposed change was believed to undermine professional
judgement, and if there was a lack of consultation, resistance was more likely to be a
factor impeding the use of new technologies (Kortecamp & Croninger, 1996; Sikes,
1992). Other research suggested that university teachers believed that teaching was
under-valued compared to research or publishing and that this could discourage them
from adopting technology (Hesketh et al., 1996; Kline, 1994; Ramsden et al., 1995).
The purpose of this investigation was to explore the experiences and
perceptions of academic staff as they related to the use of several computer-based
technologies.
69
Specific objectives of this investigation in 1997 were to:
1. Explore attitudes of academic staff towards, and their usage of, computer-based technologies.
2. Identify the factors that encouraged or hindered the usage of computer-based
technologies.
3. Determine the perceptions surrounding personal and university valuing of
teaching.
4. Examine the perceptions of academic staff concerning preparing students to
use technologies in their teaching.
METHOD
Participants and Procedure In 1997, a questionnaire was distributed to staff involved in teaching the
Bachelor of Education (Primary) and the Bachelor of Education (Early Childhood)
courses in the Faculty of Education at QUT. Staff names were obtained via the on-
line university data warehouse system. Questionnaires were distributed and returned
via the university internal mailing system.
Two weeks after the initial distribution of questionnaires, a follow-up mail-
out was conducted in an attempt to elicit a higher response rate. In total, 43 of the
102 distributed questionnaires were eventually returned representing a return rate of
42%. This rate was disappointing given the higher return rates reported in similar
studies by Hesketh et al. (1996), (75%, 198/245); Lyons and Carlson (1995), (57%,
421/733); and Ramsden and Martin (1996), (58%, 1489/2579). However, the return
rate was comparable to, or better than, those reported in studies by Spotts and
Bowman, (1993, 1995), (44%, 306/696), and Willis et al. (1995), (20%, 250/1223).
As noted by Babbie (1992), a return rate in survey research of at least 50% is
desirable. Given the modest return rate associated with the current study, therefore, it
must be acknowledged that generalisability of findings is limited.
70
Measurement The 1997 Academic Staff Questionnaire
As discussed in detail in Chapter 3, the 49-item Academic Staff
Questionnaire comprised items developed specifically for the current study because
there were no published measures that met the research requirements. The
questionnaire focused on five technologies CAI, multimedia, audiographics, the
Internet, and email. However, as noted in Chapter 3, a variety of items focused
exclusively on multimedia because of its particular potential to teaching and learning
in higher education. Descriptions of these technologies were provided in the
questionnaires. Several items included in the questionnaire were adapted from survey
instruments developed by Davis et al. (1995), Spotts and Bowman (1993; 1995) and
Willis et al. (1995). The questionnaire was divided into five sections. The first
section focuses on demographic information. The second section was concerned with
knowledge and current use of technologies. The third section examined the use of
technologies in preservice teacher education. The fourth section looks at multimedia
technology use in higher education. The fifth section addresses valuing and
recognition of academic activities. A more detailed description of the development of
individual items within these sections can be found in Chapter 3. The questionnaire
is presented in Appendix A.
Data Analysis Quantitative data obtained from the questionnaires were coded and analysed
using SPSS (Statistical Package for the Social Sciences) for Windows. Prior to
analyses, quantitative data were screened for accuracy of data entry and missing
values. Descriptive statistics were employed to highlight patterns or trends among
frequency data such as knowledge, confidence, current and future usage as they
related to the computer-based technologies.
The process of qualitative analysis of open-ended responses was based on the
data “reduction” and “interpretation” (Marshall & Rossman, 1995, p. 113) process
described in Chapter 3. As noted, this involved organising data into topics or themes
which were then assigned category labels. These categories were reviewed
repeatedly and reduced by grouping topics or themes that related to each other.
71
Numbers of responses within each category were then tabulated to provide a
frequency statistic.
RESULTS
In the reporting of the results in this chapter, many tables presenting
frequencies and percentages on the responses for various questions have been placed
in Appendix E. This was thought to facilitate the reading and understanding of the
survey findings because of the extensive number of questions involved. Instead,
tables presented in this chapter tend to be those depicting categorised themes that
have emerged from the responses to open-ended questions.
Demographic characteristics of respondents Of the 43 academic staff who responded to the questionnaire in 1997, Table
8.1 shows that 40% (17) taught in the Bachelor of Education (Early Childhood) and
49% (21) taught in the Bachelor of Education (Primary). In addition, 12% (5) of
academic staff reported teaching in both the early childhood and primary courses. In
terms of gender, the entire sample comprised 63% (27) females and 37% (16) males.
The predominance of females was particularly apparent in the early childhood group
where they comprised 88% of respondents compared with 52% in the primary group.
This gender difference in the sample was expected as significantly fewer males were
involved in teaching in the early childhood course (at the time of questionnaire
distribution, only two male lecturers were employed).
Sixty-one percent (26) of the respondents had taught in higher education for
10 years or more. High rates of computer-ownership were evident among the group
with 95% (41) reporting owning a personal computer that had a CD-ROM (72%, 31)
and a modem (63%, 27).
Knowledge and use of technologies Respondents were asked six questions about their knowledge and use of
specific technologies. These questions focused on their level of knowledge (rated as
1, Not literate, to 4, Advanced); means by which they developed their knowledge
(rated as 1, Self-taught, 2, Help from colleagues, 3, Work-based training, 4,
72
Professional Training, or 5, Other); level of confidence (rated as 1, Not at all
confident, to 4, Very confident); and perceived level of difficulty (rated as 1, not at
all difficult, to 4, Very difficult) associated with using technologies, as well as
frequency and nature of usage in teaching and non-teaching activities (rated as 1,
Never to 6, Daily).
Reports from the academic staff revealed reasonably high levels of
agreement. Most possessed at least some knowledge of most of the computer-based
technologies. The distribution of frequencies shown suggested that academic staff
were most knowledgeable about the Internet and email with the majority of academic
staff reporting an intermediate or advanced level of knowledge of these technologies.
In contrast, less than one-quarter of the sample (23%) reported similar levels of
knowledge of audiographics. These results are presented in Table E.1 (Appendix E).
For the most part, knowledge of the technologies had been acquired
informally with professional or work-based training not contributing greatly to
knowledge attainment. Although almost one-third of the respondents reported work-
based training in the use of the Internet (30%) and Email (33%), the majority
reported that they were either self-taught or had relied on assistance from colleagues
(Table E.2, Appendix E). While academic staff generally indicated in 1997 that they
did not consider the technologies to be difficult to use (Table E.3, Appendix E),
many nevertheless expressed a lack of confidence in using them in teaching. More
than half of the sample reported that they were not, or not at all, confident about
using CAI (58%), multimedia (51%) or audiographics (73%) in their teaching (Table
E.4, Appendix, E). In contrast, however, nearly three-quarters (75%) of respondents
reported that they were confident or very confident about using email.
Analysis of findings revealed that academic staff made only limited use of
most of the technologies in teaching. A majority of the sample reported never using
CAI (72%), multimedia (56%), audiographics (77%) and the Internet (56%) in their
teaching. Email, on the other hand, was used daily or weekly for teaching purposes
by 40% of respondents. These findings are presented in Table E. 5, Appendix E.
While frequent use of the technologies was limited, reports indicated that
they were used for a variety of purposes. There were 29 responses to the open-ended
73
question asking how the technologies were used in teaching. Analysis of these
responses revealed five broad categories of usage. These categories, communicating
with students, using in classes, locating/sharing information and resources,
demonstrating to students, unit co-ordination and administration. These responses
are presented in Table 4.1. Academic staff indicated that Email and the Internet were
predominantly used for communicating with students, colleagues or organisations
and to a lesser extent for conducting research and accessing or sharing information or
resources. A number of academic staff also reported using one or more of the
technologies as a teaching tool in class or for demonstrating to students. As one
respondent noted, the technologies were “Used to demonstrate various
programs/functions to student teachers so that they will be better prepared when they
begin prac (teaching practice)”.
Respondents were also asked about their use of the technologies for non-
teaching purposes. Table E.6 (Appendix E) represents reports of the frequency of use
for each of the technologies. With regard to the Internet and Email, considerably
more use was made of these technologies for non-teaching activities, as opposed to
teaching activities. Reports from respondents indicated that the Internet was used
daily or weekly by 79% of respondents, while Email was used this often by 91% of
respondents.
There were 34 responses to the open-ended question asking how the
technologies were used in non-teaching activities. Analysis of these responses
revealed six broad categories of usage. As can be seen in Table 4.1, the largest
category was contacting/ networking with colleagues or organisations. Most of these
responses specified Email as the principal means of making contact. The second
largest group of responses was categorised as research, followed by information
retrieval, administration, and developing websites.
74
Table 4.1 1997 Usage of technologies for teaching and non-teaching ____________________________________________________________________ Teaching uses n = 29 ____________________________________________________________________ Communicating with students 62% (18)
Using in class 38% (11)
Locating/sharing information/resources 31% (9)
Demonstrating to students 17% (5)
Administration 10% (4)
____________________________________________________________________ Non-teaching uses n = 34 ____________________________________________________________________ Contacting/networking with colleagues/organisations 71% (24)
Research 65% (22)
Information retrieval 24% (8)
Administrative purposes 9% (3)
Developing web-sites 6% (2)
____________________________________________________________________
The technologies that academic staff claimed to be most knowledgeable and
confident about, which were also used most frequently and considered the least
difficult to use, were those for which many academic staff had reported receiving
work-based training. Almost one third claimed that their knowledge of these
technologies, Email and the Internet, had developed through work-based training.
The technology that academic staff were least knowledgeable and confident about
and which was considered the most difficult to use was Audiographics. Few reported
receiving work-based training in the use of this technology. Not surprisingly, this
was the least used of the five technologies.
The role of technologies in higher education Respondents were asked about the relative importance of each of the
technologies to the delivery of higher education (rated from 1, Not important, to 3,
Very important); the relative usefulness of the technologies to their teaching (ranked
from 1, Most important, to 5, Least important); anticipated future usage of the
technologies (rated 1, Less use, 2, No change, or 3, More use) to; and preferred
future technology use (rated 1, Decrease, 2, No change, or 3, Increase).
75
Findings presented in Table E.7 (Appendix E) suggested that a majority of
academic staff in 1997 perceived all five technologies as being at least reasonably
important to the delivery of higher education. Email and the Internet, however, were
substantially more likely than the other technologies to be nominated as being very
important (67% and 65%). Concerning usefulness to their teaching, rankings of the
individual technologies were less cohesive with no one technology being ranked
consistently as the most useful. There was general agreement, however, that CAI was
both the least useful technology to teaching and the least important technology in the
delivery of higher education (Table E.8, Appendix E).
It was clear from the responses that many academic staff in 1997 anticipated
making more use of the technologies in the future. The majority of academic staff
expected to increase their usage of the Internet (63%) and email (56%), while
slightly less than half (49%) anticipated using multimedia more often in their
teaching (Table E.9, Appendix E). With the exception of CAI, the majority of
academic staff also indicated that they favoured increased use of all of the
technologies (Table E.10 Appendix E).
The role of technologies in preservice teacher education Respondents in 1997 were asked about the importance of preparing students
in the use of technologies; the relative importance of the individual technologies to
preservice teacher education, the adequacy of such preparation and responsibility for
preparation.
Overall, the need to prepare students in the use of technologies was viewed
by academic staff as highly important. Forty-seven percent of the 1997 sample
viewed technology preparation as extremely important, while a further 33% and 16%
regarded preparation as very important or important respectively (Table E.11
Appendix E). In contrast, none of the sample regarded technology preparation to be
unimportant.
The 34 responses to an open-ended question about why such preparation was
important revealed a range of reasons with most focusing on increasing demands
from school or society for teachers to be technologically literate. These responses are
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presented in Table 4.2. Of the responses, 38% reflected global concerns about
technological literacy, 29% noted specific requirements or expectations associated
with the use or proliferation of technologies in schools, while 26% stated that
technology enhanced or extended learning and teaching. A further 12% of responses
focused on the longer-term issue of preparing children to “enter a technological
world”, while another four responses also acknowledged children’s prior learning.
These responses noted that preparation was essential not because children needed to
be taught how to use technologies, rather, teachers needed to develop their own
knowledge in order to match that of the children in their care.
Table 4.2 Reasons for Preparation in the Use of Technologies (n = 34) ____________________________________________________________________
Technologically mediated communications 38% (13)
Requirement/expectation of schools 29% (10)
Extends/enhances teaching/learning 26% (9)
Preparation for children’s future 12% (4)
Recognition of children’s prior learning 12% (4)
____________________________________________________________________
In relation to which technologies were considered most to least important to
teacher preparation, responses, presented in Table E. 13 in Appendix E, were
generally consistent. Forty-four percent of the 1997 sample ranked the Internet as the
most important technology to preservice teacher education. Multimedia was regarded
by a majority of academic staff as being the second most important technology to
preservice teacher education while Email and Audiographics were considered third
and fourth in importance. As with usefulness to teaching, CAI ranked the lowest in
importance to teacher education.
When asked about the responsibility for preparing preservice teachers to use
technology in the classroom, it was clear that academic staff viewed this as a joint
school – university task. Few (12%) regarded such preparation as the sole
responsibility of universities and only one respondent believed that schools should be
solely responsible.
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Concerning the adequacy of this preparation, respondents’ ratings were
surprising with 58% of the sample indicating that it was less than adequate (refer
Table 8.3). Although 21% rated preparation in the use of technologies as being
adequate, less than one in ten (9%) indicated that students were well prepared and
none of the sample believed that students were very well prepared.
Multimedia use in higher education To gauge perceptions about the comparative attributes of multimedia-
delivered instruction and the lecture, academic staff were asked which strategy they
believed was advantageous according to eight criteria - flexibility, learner control,
interactivity, motivation, interesting, effectiveness, accommodation of learning styles
and increased feedback. Respondents were asked to select either ‘Lecture’,
‘Multimedia’, ‘Same’ or ‘Undecided’. To gain further insight into the use of
multimedia in higher education, an open-ended question asked academic staff to
nominate any advantages associated with using multimedia (other than those already
suggested in the earlier question) and the disadvantages associated with using
multimedia. In addition, academic staff were also asked about the presence of factors
that might facilitate multimedia usage (rated from 1, Strongly disagree, to 5, Strongly
agree); and the extent to which these factors acted as incentives (rated from 1, No
incentive to 3, Significant incentive) or barriers to multimedia use (rated from 1, Not
a barrier, to 3, Significant barrier).
As Table 4.3 shows, academic staff views about the relative merits of the
traditional lecture and multimedia-delivered instruction were varied. Most consensus
related to which strategy offered more control over learning and which strategy
provided more flexible learning options. More than 44% believed that multimedia
offered more control and over 58% believed that multimedia provided more
flexibility. Multimedia was also considered to offer advantages over the Lecture in
terms of its interactivity and ability to accommodate varied learning styles. However,
as the Table illustrates, opinions were by no means unanimous.
For many criteria, a majority of the sample was unable to differentiate or
decide between the strategies. This was apparent for the factors more motivating,
more interesting, more effective, and provides more feedback. In relation to more
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motivating, the largest single group reported being undecided, however a further
26% believed the strategies to be the same in terms of their ability to motivate
students. For “more interesting”, a majority of academic staff considered the Lecture
and multimedia to be the same but a further 28% were unable to decide. Only 23%
believed that multimedia was more interesting than the Lecture, however even fewer
(14%) thought that the Lecture was more interesting than multimedia. In relation to
which strategy was more effective and provided more feedback, undecided was
selected in both cases by 40% of academic staff.
Table 4.3 Preferred Teaching Strategy (n = 43) ____________________________________________________________________ Criteria Lecture Multimedia Same Undecided ____________________________________________________________________ Provides flexible
study options 2% (1) 58% (25) 16% (7) 16% (7)
Offers more control
over learning 9% (4) 44% (19) 21% (9) 16% (7)
Is more interactive 19% (8) 33% (14) 26% (11) 19% (8)
Is more motivating 21% (9) 16% (7) 26% (11) 30% (13)
Is more interesting 14% (6) 23% (10) 30% (13) 28% (12)
Is more effective 12% (5) 9% (4) 33% (14) 40% (17)
Accommodates
learning styles 7% (3) 35% (15) 26% (11) 26% (11)
Provides more
feedback 21% (9) 21% (9) 12% (5) 40% (17)
____________________________________________________________________ Advantages
In terms of advantages of using multimedia in higher education, 86% of the
respondents offered numerous suggestions. While some reiterated ‘flexibility’ and
‘interesting’, there were sufficient original responses to form several categories. As
seen in Table 4.4, responses noting individualised or self-paced learning comprised
the largest group. The second largest group of responses were those that focused on
the ability of multimedia to overcome geographical isolation, while almost as many
respondents shared the view that multimedia adds variety to, complements or
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supports teaching or learning methods. Preparation for teaching was another theme
that emerged from the responses with several academic staff contending that the use
of multimedia in higher education enabled preservice students to familiarise
themselves with the technology in readiness for their own teaching. Two of these
responses referred to the role of ‘modelling’ technologies with one stating
“Modelling - as teachers, current students need to know how to select and use (and
sometimes make) multimedia resources for their students”.
A fifth group of responses labelled efficient use of resources comprised
comments noting benefits associated with costs or efficiency in use of respondents’
time. Comments in this category included “Probably cheaper in the long run” and
“Efficiency of academic staff resource”. The remaining three categories of responses
comprised those relating to facilitating learning and communication. These
categories were improves access to a range of information or materials, enables
revision or further learning, and enhances communication.
Disadvantages
Open-ended responses from 84% (36) of academic staff about the
disadvantages of multimedia also indicated that they shared numerous concerns
about its use in higher education. As noted in Table 4.4, many academic staff
perceived learning with multimedia to be lacking in human interaction. One
respondent described this teaching method as “dehumanising”. Academic staff were
equally sceptical about the quality or effectiveness of multimedia programs while
several commented that cost and technical or maintenance problems were
problematic. Time was another problem mentioned with several respondents noting
that the setting up or actual development of multimedia teaching materials was
“Time-consuming”. Four academic staff referred to over-reliance as a possible
disadvantage to using multimedia. Responses in this category reflected concerns
about exclusive use of multimedia in teaching. A respondent said “Can’t be seen as
the be all and end all”.
Two further disadvantages noted by academic staff focused on possible
detriments to students. Three responses could be categorised as unsuited to some
students. Two academic staff expressed uncertainty that this method of learning was
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beneficial for some students, while another stated that students preferred contact with
lecturers over contact with a computer. The final disadvantage was access. Two
academic staff noted that gaining access to multimedia technology could be
problematic for some students.
Table 4.4 Advantages and Disadvantages of Technology Use in Higher Education ____________________________________________________________________ Advantages (n = 37)
Enables learning to be individualised/self-paced 24% (8)
Addresses geographic isolation 19% (7)
Adds variety to/ complements/ supports teaching or learning methods 16% (6)
Preparation for teaching 14% (5)
Efficient use of resources 8% (3)
Improves access to information/materials 8% (3)
Facilitates/ enhances communication 8% (3)
Enables revision/further learning 8% (3)
____________________________________________________________________
Disadvantages (n = 36)
Lacking human interaction 31% (11)
Dubious quality or effectiveness 31% (11)
Cost 22% (8)
Technical/ maintenance problems 22% (8)
Time involved in setting up/ producing materials 17% (6)
Risk of over reliance 11% (4)
Unsuited to some students 8% (3)
Access problems 6% (2)
____________________________________________________________________
Facilitators
To further investigate perceptions about using multimedia, academic staff
were asked about the extent to which they agreed or disagreed with a range of
statements. These statements reflected 16 dispositions or environmental factors (refer
Table 4.4) that have been proposed to facilitate technology use by academic staff in
higher education.
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Analysis of responses indicated that, in some regards, the work environment
at this university was not readily conducive to multimedia use. As shown in Table
4.4, there was widespread disagreement among academic staff that training in the use
of multimedia (75%), equipment for using multimedia (65%), and examples of
quality multimedia programs (53%) was available to them. Forty-nine percent of
respondents also disagreed or strongly disagreed that technical advice and support
was available and 47% disagreed or strongly disagreed that they had time to learn
how to use the technology.
Despite this, attitudes receptive to use were apparent among academic staff.
A majority agreed or strongly agreed that multimedia in teaching could improve both
student interest (84%) and learning (72%), that multimedia should play a growing
role in university teaching (70%), that the integration of multimedia was necessary
for university competitiveness (66%), and that multimedia would be easy to integrate
into teaching (64%). In relation to pressure to use multimedia in teaching, nearly half
of the sample (49%) disagreed or strongly disagreed that they felt pressured to use
multimedia. Furthermore, a considerable majority (77%) disagreed or strongly
disagreed that any such pressure to use multimedia would undermine their abilities
as teachers.
There was less certainty among the group regarding whether or not the use of
multimedia in teaching would enhance promotion, or whether they were consulted
about using multimedia in their teaching. A majority indicated that they neither
agreed nor disagreed with each of these statements. Mixed perceptions were also
apparent regarding support from the Faculty. Although 37% agreed or strongly
agreed that support for using multimedia was provided by their faculty, 23% were
neutral and 40% disagreed or strongly disagreed. In addition, while a nearly half of
the sample (49%) disagreed or strongly disagreed that they felt comfortable using
multimedia in their teaching, a further 40% agreed or strongly agreed that they did
feel comfortable.
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Table 4.5 Facilitators to Multimedia Use (n = 43) ____________________________________________________________________
Strongly Strongly Facilitators Disagree Disagree Neutral Agree Agree ____________________________________________________________________ Equipment available 30% (13) 35% (15) 14% (6) 14% (14) 5% (2)
Can improve student learning 0% (0) 0% (0) 28% (12) 63% (27) 9% (4)
Can improve student interest 0% (0) 0% (0) 16% (7) 70% (30) 14% (6)
Easy to integrate into subject 2% (1) 16% (7) 14% (6) 54% (23) 12% (5)
Quality programs available 9% (4) 44% (19) 26% (11) 16% (7) 5% (2)
Training available 35% (15) 40% (17) 14% (6) 9% (4) 0% (0)
Have time 14% (6) 33% (14) 28% (12) 21% (9) 2% (1)
Technical support available 14% (6) 35% (15) 30% (13) 14% (6) 7% (3)
Support from faculty 14% (6) 26% (11) 23% (10) 35% (15) 2% (1)
Feel comfortable using 12% (5) 37% (16) 12% (5) 35% (15) 5% (2)
Helps promotions/tenure 19% (8) 21% (9) 44% (19) 14% (6) 2% (1)
Necessary for university
competitiveness 5% (2) 7% (3) 19% (8) 40% (17) 26% (11)
Should play a growing role
in higher education 2% (1) 7% (3) 19% (8) 44% (19) 26% (11)
Feel pressured to use
in teaching 14% (6) 35% (15) 40% (17) 7% (3) 5% (2)
Pressure to use would
undermine abilities 23% (10) 54% (23) 23% (10) 0% (0) 0% (0)
Consulted about using
in teaching 21% (9) 23% (10) 44% (19) 12% (5) 0% (0)
____________________________________________________________________ Incentives and barriers to multimedia use
To examine which particular influences might hinder or promote the use of
multimedia in teaching, respondents were asked to consider eleven items in terms of
the degree to which they acted as incentives or barriers to multimedia use. As Table
4.5 indicates, all but one item contribution to promotion/tenure was considered by a
majority of the sample to be a significant incentive to multimedia use. Nevertheless,
this item was considered by almost two-thirds of the sample to be a moderate or
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significant incentive to using multimedia. Technical advice and support, time to learn
the technology, along with evidence of improved student interest and learning
appeared to be particularly salient.
Table 4.6 Incentives to Using Multimedia in Teaching (n = 43) _________________________________________________________________________________
No Moderate Significant Item Incentive Incentive Incentive ____________________________________________________________________ Available equipment /resources 5% (2) 33% (14) 63% (27)
Evidence of improved student
learning 0% (0) 23% (10) 74% (32)
Evidence of improved student
interest 0% (0) 23% (10) 74% (32)
Easy to integrate into subject 0% (0) 37% (16) 63% (27
Available quality materials 2% (1) 28% (12) 67% (29)
Available training 5% (2) 28% (12) 65% (28)
Time out to learn about technology 2% (1) 16% (7) 81% (35)
Available technical advice /support 0% (0) 16% (7) 79% (34)
Support from faculty 2% (1) 30% (13) 65% (28)
Comfort with technology 5% (2) 37% (16) 56% (24)
Contribution to promotion/tenure 33% (14) 33% (14) 33% (14)
____________________________________________________________________
To identify any additional incentives to multimedia use, an open-ended
question asked respondents to identify any further incentives. From 15 respondents,
several novel incentives were identified including the desire for collaboration among
colleagues. “Co-operation, collaboration with colleagues, learning from each other”
and “Have a peer/mentor to support my learning as I try to teach students” suggested
a need for moral and mutual support within the faculty. Also related to training, one
respondent commented that instruction that “focused directly on the use of computer-
based technologies in education” would be an incentive.
Longevity of technology was another issue raised by one of the academic
staff. This respondent asked “Why put a lot of effort into developing something if it
is going to be outmoded tomorrow?” Other incentives specified were smaller class
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sizes so as to enable interaction among participants, and a reduction in time taken to
prepare for lectures. Lastly, one respondent simply noted “Pay” as being an
incentive.
In terms of barriers to multimedia use, Table 4.6 shows that more than half of
the academic staff regarded lack of equipment or resources (61%), lack of quality
materials (56%), lack of available training (54%), lack of technical advice and
support (54%), and, in particular, lack of time (72%) as significant. In addition, 47%
considered lack of faculty support to constitute a significant barrier. Regarding lack
of time and quality materials, only 7% indicated that these were not barriers to
multimedia use, while fewer than 5% considered that lack of technical advice and
support was not a barrier. Lack of contribution to promotion appeared to be the least
significant barrier.
Table 4.7 Barriers to Using Multimedia in Teaching (n = 43) _________________________________________________________________________________
Not a Moderate Significant Item Barrier Barrier Barrier ____________________________________________________________________ Lack of equipment/resources 9% (4) 30% (13) 61% (26)
No evidence improved student
learning 37% (16) 35% (15) 21% (9)
No evidence improved student
interest 35% (15) 35% (15) 23% (10)
Difficult to integrate into subject 33% (14) 42% (18) 23% (10)
Lack of quality materials 7% (3) 35% (13) 56% (24)
Lack of training options 12% (5) 30% (13) 54% (23)
Lack of time 7% (3) 19% (8) 72% (31)
Lack of technical advice /support 5% (2) 42% (18) 54% (23)
Lack of faculty support 14% (6) 37% (16) 47% (20)
Discomfort using technology 35% (15) 44% (19) 19% (8)
Doesn’t contribute to promotion/
tenure 65% (28) 19% (8) 12% (5)
___________________________________________________________________
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When asked to identify additional barriers to multimedia use, 33% (14)
respondents offered suggestions. Two respondents specified that for students, costs
associated with purchasing or accessing equipment were barriers to multimedia use.
For another, the size of tutorial groups and the need to organise students’ timetables
so that they were able to use a range of technologies were barriers. Related to
evidence of improved learning, one respondent noted that “Lack of evaluation of
such projects” was a barrier and another noted “Some scepticism about whether it
would be an improvement”, while “Lack of confidence” and “Imposition of
technology without faculty consultation or support” were also cited.
Valuing of teaching To investigate perceptions surrounding the valuing of teaching, academic
staff were asked to rank-order three activities, teaching, research and publishing,
according to how each was valued personally and how the respondents felt each was
valued by their university. Findings, presented in Table 4.7, indicate that academic
staff valuing of the activities and their perceptions of university valuing were at
odds. While 86% of academic staff indicated that they valued teaching most highly,
followed by research and then publishing, only 12% felt that teaching was valued
higher than publishing and then research.
Table 4.8 Personal Valuing and University Valuing of Teaching, Research and Publishing (Rankings of 1) ____________________________________________________________________ Activity Personal Valuing University Valuing ____________________________________________________________________ Teaching 86% (37) 12% (5) Research 28 % (12) 37% (16) Publishing 12% (5) 54% (23) ____________________________________________________________________
Not surprisingly, there was consensus among academic staff surrounding the
need for greater recognition of innovation in teaching. Table 4.8 shows that in
response to this question, 40% of academic staff strongly agreed and 49% agreed
that increased recognition was warranted. However, academic staff appeared less
resolute about the degree to which such recognition would encourage their use of
technology in teaching. As can be seen in Table 4.8, almost half the sample (49%)
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agreed or strongly agreed that they would be more inclined to use technology if
innovation in teaching attracted greater recognition, yet almost one-third (30%) of
the sample was undecided and 18% rejected the suggestion.
Table 4.9 Recognition of Innovation in Teaching ____________________________________________________________________ Need for greater recognition of innovation in teaching (n = 42) ____________________________________________________________________
Strongly Disagree Neutral Agree Strongly disagree agree
______________________________________________________________ 2% (1) 0% (0) 7% (3) 49% (21) 40% (17)
____________________________________________________________________ Influence of greater recognition on technology use (n = 42) ____________________________________________________________________
Strongly Disagree Neutral Agree Strongly disagree agree ______________________________________________________________ 2% (1) 16% (7) 30% (13) 19% (8) 30% (13)
____________________________________________________________________
DISCUSSION
Contrary to assumptions made by a number of writers, academic staff
demonstrated largely positive attitudes towards technology integration. Heron
(1996), Massy and Zemsky (1997), and Forgo and Koczka (1996) among others, all
attributed the slow uptake of technology in universities to negative academic staff
attitudes. Reeves (1991; cited in McNaught, 1995) claimed that technology
integration in higher education had failed in part because of the unwillingness of
teachers to restructure lecture content and delivery methods to incorporate
computers. However, participants in this study, like those in Spotts and Bowman’s
(1995) study, were generally receptive to technology integration. For instance, in
relation to the importance of technologies to university teaching, the vast majority of
academic staff rated all of the technologies as being at least reasonably important
with Email and the Internet being overwhelmingly rated as very important. Similarly,
Spotts and Bowman (1995) found that a majority of their sample considered
technology to be important or critically important to their teaching. In contrast, few
felt that it was unimportant. Research has specifically linked multimedia with a range
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of positive teaching and learning outcomes such as increased flexibility, learner
control, interactivity and motivation. In addition to these merits, academic staff in the
current study noted that multimedia technology facilitated self-paced or
individualised learning, could help address geographic isolation for external
students, and added variety or complemented existing teaching methods. No doubt,
the recent dramatic increases in university and government funding for technology-
based teaching initiatives (CAUT, 1993; 1996; QUT Strategic Plan, 1995-2000)
contributed to the view held by academic staff that technologies, like multimedia,
have an important role to play in the delivery of higher education.
Most academic staff surveyed in the 1997 study also demonstrated positive
attitudes towards their future use of technologies. Given the university’s aim to
deliver, by 1999, at least 10% of all first year students’ contact hours in computer-
based format (QUT Strategic Plan, 1995-2000), these positive attitudes towards
technology are essential. As noted, the majority of academic staff anticipated
increasing their use of email and the Internet, while many also foresaw an increase in
their use of multimedia. Most too, were in favour of increasing their technology use,
especially their use of email, multimedia and the Internet. Incidentally, these
technologies were also rated by academic staff as being the most useful to their
teaching. Such predictions of future usage provide further evidence of receptivity
toward technology integration and contrast with findings of Spotts and Bowman
(1995). Although academic staff in their study rated technologies as critically
important to their teaching, less than half predicted using technology in the near
future. A mediating factor in the current study could be the very high rates of home
computer ownership among respondents. Spotts and Bowman (1995) suggested that
both positive attitudes and technological literacy were more prevalent among those
who owned computers.
As noted earlier, technology use has particular implications for preservice
teacher education. Many have claimed that exposure to technology experiences
throughout preservice teacher education could play an important role in preparing
prospective teachers to use a range of technologies in their own classrooms. Findings
from studies conducted in the United Kingdom (Davis et al., 1995) and the United
States (Willis et al., 1995, Wetzel, 1993) reflected the importance that teacher
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educators place on students’ technology preparation. Similar opinions were
expressed by academic staff in the current study. Nearly all those surveyed in 1997
rated this preparation as being important or extremely important, particularly
preparation in the use of the Internet and multimedia. In terms of the adequacy of
preservice preparation, however, academic staff were less positive. None of the
sample believed that students were very well prepared in the use of technology and
few claimed that students were well prepared. Rather, the majority of respondents
rated student preparation in technology use as being inadequate.
Opinions surrounding who was responsible for this preparation may provide
some insight into the apparent frankness of responses by academic staff. Unlike
writers such as Lyons and Carlson (1995) and Thompson and Schmidt (1994) who
claimed that teacher education institutions should be solely responsible for
preparation in the use of technologies, most academic staff in the 1997 study viewed
preparation as a shared university-school responsibility. Few regarded technology
preparation as a sole responsibility of universities.
Despite positive attitudes towards the technologies and recognition of their
unique role in preservice teacher education, a substantial number of academic staff in
1997 claimed that they made little or no use of the technologies in their teaching.
Limited or non-use of technologies by teacher educators has been revealed in
previous research. As noted earlier, Wetzel (1993) reported that teacher educators in
his study rarely used technologies in their teaching, even though they recognised its
importance to teacher education. Similarly, many of the participants in Spotts and
Bowman’s (1995) study reported never using technologies. Compared with
respondents in these studies, however, most academic staff in the current study
reported using technologies.
Further insight into this high valuing but under-utilisation of technology use
was gained by examining those factors that could hinder or facilitate technology use.
In relation to multimedia technology, research prior to 1997 identified numerous
barriers that hindered its use by teaching staff in higher education. In this study, little
had changed since previous research with the same barriers continuing to impede
technology use. Teaching staff rated numerous factors as significant barriers to their
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use of multimedia, the most salient being the lack of technical advice and support,
time, equipment and resources, quality materials, Faculty support, and training. At
the time of this study, there appeared to be no specific directives, initiatives or
incentives in place within the Faculty that assisted or encouraged academic staff in
their efforts to use or learn about technology. Nor were there policies or statements
that communicated the importance of technological competency among preservice
teacher education students, or guidelines and strategies that could facilitate this
competency. Yet, as noted by Fullan (1991), this support is vital if change is to be
realised.
The vast majority of respondents indicated that lack of time for learning
about technology was a moderate or significant barrier to using multimedia. Not
surprisingly, almost all respondents indicated that the availability of more time
would be a moderate or significant incentive to using technology. This finding
supported research by Davis et al. (1995), Ramsden and Martin (1996) and Spotts
and Bowman (1993) that found that time for learning about technology was an issue
of contention for a majority of study participants. Similar concerns surrounded the
issue of training in technology use. As noted earlier, most academic staff in the 1997
study reported that they were self-taught in the use of the technologies, with
professional development or training playing little or no role in knowledge
acquisition. Studies in the United Kingdom and the United States have also revealed
that teacher educators have limited opportunities for training in the use of technology
and are largely self-taught (Davis et. al., 1995; Lyons & Carlson, 1995; Wetzel,
1993; Willis et al., 1995). This absence of training opportunities was rated as a
moderate or significant barrier to technology use by most academic staff.
According to academic staff, a substantial barrier to their use of multimedia
was a lack of quality materials. This finding mirrored sentiments expressed by
McNaught in 1995 when she stated that the slow rate of technology integration could
be attributed to the dubious “mixed bag” quality of programs that were available.
Open-ended comments in the current study also suggested that, like Oliver (1994a),
several academic staff suspected that some of these programs were ‘technology led’
and lacked instructional merit.
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Responses to questions about incentives to use technology tended to differ
from their responses related to barriers suggesting that the removal of a barrier would
not necessarily be a significant enough incentive to facilitate technology use. Unlike
barriers, ease of integration, followed by evidence of improved student interest and
learning appeared to be the most powerful incentives. The importance of improved
student learning outcomes was also noted by Spotts and Bowman (1993) in their
study. In their study, this was the primary incentive to technology use. In addition,
like respondents in Spotts and Bowman’s (1993) study, availability of training, time,
equipment, quality materials and support were also strong incentives, while, to a
lesser extent, contribution to promotion was another incentive to using multimedia.
There was partial evidence to suggest that the ‘institutional schizophrenia’
described by Peters and Mayfield (1992; cited in Ramsden et al., 1995, p. 4) existed
at this university. Hesketh et al. (1996), Davis et al. (1995), Massy and Zemsky
(1995), and Ramsden et al. (1995) had claimed that academic staff in universities are
persuaded to use technology in their teaching yet they have an underlying belief that
excellence and innovation in teaching is not valued. While it must be acknowledged
that a minority of academic staff in the 1997 study indicated that they were under
pressure to adopt technologies in their teaching, the vast majority, nevertheless, felt
strongly that their values were antithetical to those of the university. They asserted
that while they personally valued teaching above research and publishing, the
university valued research and publishing over teaching. Furthermore, while most
agreed that technology integration was necessary for the university’s competitiveness
and that technology should therefore play a growing role in higher education, few
agreed that their use of technology in teaching would be recognised or rewarded in
the form of promotion or tenure. Not surprisingly, they agreed that innovation in
teaching deserved greater recognition.
It would seem then, that the newly introduced schemes for rewarding
teaching excellence at the university (QUT Strategic Plan, 1995-2000) have so far
been unsuccessful in persuading academic staff that teaching, with or without
technology, is highly valued. Until this message is more clearly and consistently
communicated, staff at this university, like those in previous research, are unlikely to
change their existing teaching practices.
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CHAPTER 5 PHASE 1 (1997): GRADUATE TEACHERS’
EXPERIENCES WITH TECHNOLOGY
INTRODUCTION
In this chapter, the experiences and perceptions of graduates from the 1995 and
1996 Bachelor of Education (Early Childhood) and Bachelor of Education (Primary)
courses are reported. The chapter commences with a summary of the literature that
informed this study and briefly describes the participants, procedure, measure, and data
analysis techniques involved. The chapter then outlines the specific study objectives
before presenting the findings. These findings are then compared with those of previous
research.
Background to Phase 1 The review of literature prior to 1997 highlighted an amalgam of research
findings related to learners' use and perceptions of technologies such as multimedia.
Studies revealed that there was general support among learners for multimedia delivered
instruction. Research indicated that students demonstrated improved motivation
(Waddick, 1995); interest (Gooley et al., 1994; Iynkaran & Crilly, 1994); and
understanding of subject content (Crosby & Stevlosky, 1995; Hsi & Agogino, 1993;
Iynkaran & Crilly, 1994) when using multimedia programs, as well as increased feelings
of control over learning (Waddick, 1995). While many students had expressed a
preference for multimedia-delivered instruction over traditional methods (Gooley et al.,
1994; Iynkaran & Crilly, 1994; Waddick, 1995), some had also voiced concerns about
using multimedia including problems accessing computers, an inability to ask questions
(James et al., 1995) and difficulty in understanding navigational instructions in
programs (Kenny et al., 1995).
The increasing use of computer-based technologies in schools has seen
mounting pressure for teachers to demonstrate technological literacy and model positive
attitudes towards technology in their classrooms. Many researchers and practitioners
believed that the key to developing competency and positive attitudes among teachers
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lay in exposure to high quality and integrated technology experiences (Thompson &
Schmidt, 1994). This exposure, was the responsibility of teacher training institutions
(Battisa & Krockover, 1982; Bean, 1988; Hess, 1990; cited in Gabriel & MacDonald,
1996; Handler, 1993; Lyons & Carlson, 1995; Thompson & Schmidt, 1994). Although
few in number, studies into the use of technologies in preservice teacher education prior
to 1997 were surprisingly consistent. These studies indicated that new teachers regarded
training in technology use as important to their careers (Colon et al., 1995; Huang, 1994;
Oliver, 1994), and benefited from academic staff modelling technology use (Handler,
1993; Huang, 1993; Wild, 1994; Wright, 1993) but that preservice education
experiences lacked opportunities for students to observe and interact with technology
(Colon et al., 1995; Handler, 1993; Huang, 1994; Oliver, 1994; Spotts & Bowman,
1995; Willis et al., 1995). Several studies reported that new teachers felt uncomfortable
using technology in the classroom (Handler, 1993; Hochman, Maurer & Roebuck, 1993;
and Lui, Reed, & Phillips, 1990; cited in Gabriel & MacDonald, 1996), and claimed that
their preservice training in technology use was inadequate (Colon et al., 1995; Oliver,
1994; Topp et al., 1995).
The purpose of the investigation was to explore the experiences and perceptions
of preservice teacher education graduates as they related to the use of several computer-
based technologies.
Specific objectives of this investigation in 1997 were to:
1. Explore the attitudes of graduate teachers towards, and their usage of, computer-
based technologies.
2. Identify the factors that influenced graduate teachers’ usage of computer-based
technologies in the classroom.
3. Determine the perceptions of graduate teachers concerning their preparation in
the use of technologies.
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METHOD
Participants and Procedure In 1997, the Graduate Teacher Questionnaire was distributed to the 350
graduates from the QUT 1995 and 1996 Bachelor of Education (Primary) or the
Bachelor of Education (Early Childhood) courses. Information on contact addresses for
graduates was obtained from the university’s graduate destination records. By surveying
two groups of graduate teachers, the likelihood of obtaining a reasonable sample size
was increased. Questionnaires were distributed and returned via mail. Reply-paid
envelopes were provided for ease of return.
Two weeks after the initial distribution of questionnaires a follow-up mail-out of
reminder letters was conducted. In all, 72 completed questionnaires were returned,
representing a return rate of 21%. This low return rate was disappointing but not
unexpected as, in addition to the 72 completed questionnaires, 105 (30%) were returned
unopened with the notification “No longer at this address”. These changes of address
frequently occur when graduates complete their studies or when they are offered a
teaching position. As many do not inform the university when this occurs, graduate
destination records may be out of date. Notwithstanding, the implication of low-return
rates for the study is the limited generalisability of findings. This low return rate of
completed questionnaires was not unexpected, however. As Nederhof (1985) noted,
response rates for mailed surveys are notoriously low with initial mailings typically
attracting a 20-30% return. Dooley (1995) explains that while mailings repeated three or
four times can often raise return rates to as high as 60-70%, the increasing cost of
postage tends to outweigh the initial cost savings of this method.
Measurement The 1997 Graduate Teacher Questionnaire
As noted in Chapter 3, the 31-item Graduate Teacher Questionnaire comprised
items developed specifically for the study because at the time there were no published
measures that met the requirements of the study. A number of items in the questionnaire
were adapted from survey instruments developed by Colon et al. (1995) and Willis et al.
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(1995). The Graduate Teacher Questionnaire was divided into three sections. Section A
focused on demographic characteristics, Section B, on perceptions and current use of
technologies, while Section C asked teachers to recall their recent experiences of
technology use in preservice teacher education. Like the Academic Staff Questionnaire,
the Graduate Teacher questionnaire sought information in relation to five technologies,
CAI, multimedia, audiographics, the Internet, and email, as these technologies were in
use at the university at the time of the study. Again, because of its documented potential
for teaching and learning, several items focused on multimedia. The Graduate Teacher
Questionnaire is presented in Appendix B.
Data Analysis Quantitative data obtained from the questionnaires were coded and analysed
using SPSS (Statistical Package for the Social Sciences) for Windows. Prior to analyses,
quantitative data were screened for accuracy of data entry and missing values.
Descriptive statistics were employed to highlight patterns or trends among frequency
data such as knowledge, confidence, current and future usage as they related to the
computer-based technologies.
The process of qualitative analysis of open-ended responses was based on the
data “reduction” and “interpretation” (Marshall & Rossman, 1995, p. 113) process
described in Chapter 3. As noted, this involved organising data into topics or themes
which were then assigned category labels. These categories were reviewed repeatedly
and reduced by grouping topics or themes that related to each other. Numbers of
responses within each category were then tabulated to provide a frequency statistic.
RESULTS
In the reporting of the results in this chapter, most tables presenting frequencies
and percentages on the responses for various questions have been placed in Appendix F.
It was thought that the reading and understanding of the findings would, thereby, be
improved. Instead, tables presented in this chapter tend to be those depicting categorised
themes that have emerged from the responses to open-ended questions.
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Demographic characteristics of respondents Of the 72 teachers who responded to the questionnaire, 46% (33) had been
enrolled in the Bachelor of Education (Early Childhood) and 54% (39) had been
enrolled in the Bachelor of Education (Primary). In terms of gender, the entire sample
comprised 93% (67) females and 7% (5) males. This gender bias in the sample was not
unexpected as significantly fewer males than females were enrolled in both courses. The
mean age of the teachers was 24.6 years (SD = 3.64). Regarding teaching experience,
the mean number of months employed in teaching was 15.06 (SD = 5.82). Reasonable
rates of computer-ownership were evident among the teachers. Seventy-six percent (55)
reported owning a computer, which had a CD-ROM (47%, 34) and a modem (31%, 22).
Ownership rates did not vary significantly between the early childhood and primary
graduates. Demographics of the 1997 sample are presented in Table 9.1.
Knowledge and use of technologies Graduate teachers were asked to indicate, on response scales, their level of
knowledge of the technologies (rated from 1, Not literate, to 4, Advanced), their level of
confidence (rated from 1, Not at all confident, to 4, Very Confident), their frequency of
usage (rated from 1, Never, to 6, Daily) and their expected future usage and preferred
future usage (both rated from 1, Less use, to 3, More use). Graduate teachers were also
asked to indicate from a list of five options, how they acquired their knowledge of the
technologies (these options were Self-taught, Help from Colleagues, Work-based
training, Preservice Education, and Other). In addition, graduate teachers were asked to
rank-order the technologies from 1, Most important, to 5, Least Important, according to
their perceived usefulness to teaching, while open-ended questions asked them to
identify the advantages and disadvantages associated with using multimedia in the
classroom and to provide examples of how the technologies were used.
These new teachers possessed at least some knowledge of most of the
technologies, although nearly 60% indicated that they had no knowledge of
Audiographics. Teacher reports presented in Table F.1 (Appendix F) indicated greatest
knowledge of multimedia with just over half (53%) reporting an intermediate level of
knowledge and a further 14% reporting an advanced, level of knowledge. In contrast,
fewer teachers reported being knowledgeable about the Internet. Less than one in three
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of the teachers (29%) rated their level of knowledge of this technology as being at the
intermediate level, while only 7% rated their knowledge as advanced.
For the most part, these teachers appeared to be self-taught in their use of the
technologies. More than half reported being self-taught in CAI (51%) and multimedia
(51%) use, and more than one-third in the use of the Internet (38%) and email (35%).
However, many teachers also attributed their knowledge to help from colleagues,
particularly knowledge of the Internet (28%) and email (25%). To a lesser extent,
inservice training also appeared to play a role in knowledge acquisition but only in
relation to multimedia (14%) and the Internet (13%). With the exception of email
(18%), few teachers attributed their knowledge of the technologies to preservice teacher
education. These results are presented in Table F.2 in Appendix F.
In 1997, teachers appeared to be most confident in their use of multimedia and
CAI with more than two-thirds indicating that they were confident or very confident
about using these technologies in their teaching (refer Table F.3, Appendix F). In
addition, almost half (49%) the group reported feeling confident or very confident about
using the Internet. In contrast, almost three-quarters (74%) of the group indicated that
they were not confident or not at all confident about using conferencing technologies in
their teaching.
Reports from the new teachers indicated that multimedia was the most widely
used technology in teaching with almost half (49%) using this technology on a daily or
weekly basis (refer Table F.4 Appendix F). More than one-third (36%) of the group also
appeared to make daily or weekly use of CAI, however, their use of the other
technologies in the classroom was apparently limited. With regard to the Internet, for
example, 57% of the teachers reported never using it in teaching, while more than three-
quarters (76%) reported never using email in the classroom. In contrast, Table F.5
(Appendix F) shows that the Internet and email were used more regularly for non-
teaching purposes.
Analysis of responses to the open-ended question asking how the technologies
were used in classroom teaching elicited responses from 63% (45) of the graduate
teachers. Thematic analysis identified eight broad themes among the responses. These
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themes, presented in Table 5.1, were Class research/projects, Educational programs,
Revise/reinforce concepts, and Email other schools/classes.
As can be seen in the table, the largest number of responses comprised Class
Research/ Projects. Forty-two percent (19) of the teachers who responded to the
question noted that they used the technologies, particularly multimedia and the Internet,
for conducting research and projects in class. Educational programs comprised the
second largest group of responses. Thirty-eight percent (17) of teachers indicated that
they used specific multimedia teaching programs and activities such as ‘James
Discovers Maths’ in class. The third largest groups of responses, Revise/Reinforce
Concepts and Email other Schools/Classes each comprised 16% (7) of responses.
Eleven percent (5) of the teachers who responded to the question also indicated that
children were permitted to use the technologies (the Internet or multimedia) for
extension activities or as a reward for finishing tasks on time.
Forty-two percent (30) of the graduate teachers also provided examples of their
non-teaching uses of the technologies. Table 5.1 highlights the six categories that
emerged from the responses. As can be seen, the most frequently cited use of
technology for non-teaching purposes, comprising 60% of responses was word
processing for lesson plans and newsletters. A further 30% of responses indicated that
technologies (primarily the Internet) were used for entertainment, while 23%
respondents each indicated that they used computers to receive and or send email, and
for obtaining information or ideas for teaching. Several teachers also stated that they
used the technologies for professional development or gaining practice.
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Table 5.1 Uses of Computer-Based Technologies -Teaching and Non-Teaching ____________________________________________________________________ Teaching uses (n = 45) ____________________________________________________________________ Class research/projects 42% (19)
Educational programs 38% (17)
Revise/reinforce concepts 16% (7)
Email other schools/classes 16% (7)
Extend/reward children 11% (5)
Word processing resources 9% (4)
Story writing/publishing 7% (3)
____________________________________________________________________
Non-teaching uses (n = 30) ____________________________________________________________________ Word processing lesson plans, newsletters 60% (18)
Entertainment 30% (9)
Personal email 23% (7)
Getting information/ideas for teaching 23% (7)
Professional development 17% (5)
Practice using technology/programs 13% (4)
_______________________________________________________________
In terms of usefulness to work, more than half (53%) of the graduate teachers
ranked multimedia first (refer Table F.6 Appendix F). A further one-quarter (25%) of
the group ranked the Internet as the most useful followed by CAI (17%) and email (6%).
Audiographics was the least likely of the technologies to be ranked as most useful. The
relative usefulness of the technologies to teaching was further reflected in anticipated
future usage. The highest expectation of increased future use related to multimedia
(71%), followed by the Internet (69%) and email (58%) (Table F.7, Appendix F). Not
surprisingly, more than half (56%) the graduate teachers anticipated no change in their
current use of audiographics. Teachers were especially positive about their anticipated
use of multimedia and the Internet with around 90% of the group reporting that they
would like to use these technologies more (Table F.8, Appendix F).
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Seventy-four percent of the graduate teachers described what they thought were
advantages associated with using multimedia in work. Table 5.2 presents the seven
categories that emerged from responses. As can be seen, by far the most frequently cited
advantage related to the perception that children enjoyed using multimedia. Typical of
the comments in this category were “Children’s heightened interest/enthusiasm” and “It
is an interesting and motivating tool for students”. One-off comments not represented in
the table were, “Children working/learning together”, “Efficient way of planning and
making resources”, and “Fantastic extension work”.
Table 5.2 Advantages of Using Multimedia in Work ____________________________________________________________________ Advantages (n = 53) ____________________________________________________________________ Keeps children interested, motivated 52% (28)
Enables access to up-to-date information 23% (12)
Encourages independent learning 17% (9)
Adds variety to learning 15% (8)
Promotes computer literacy 13% (7)
Accommodates different learning styles 13% (7)
Enables skill development/revision 9% (5)
____________________________________________________________________
Responses to the question about disadvantages associated with using multimedia
in work were more indicative of barriers or impediments to use. Sixty percent of
graduate teachers provided a range of responses, most of which could be grouped into
one of seven categories. As Table 5.3 highlights, the largest category comprised those
responses relating to a lack of computers or resources that were needed to facilitate
multimedia use. Lack of training or knowledge and lack of funding were also frequently
cited as disadvantages. Further “one-off” disadvantages noted by graduate teachers
included, “Difficult for young children to understand plagiarism”, and “Too many
choices and decisions to make, takes longer to achieve goals”.
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Table 5.3 Disadvantages of Using Multimedia in Work ____________________________________________________________________ Disadvantages (n = 43) ____________________________________________________________________ Not enough computers/resources 30% (13)
Not enough teacher knowledge/training 19% (8)
Lack of funding 19% (8)
Unreliable/old technology 16% (7)
Dubious educational benefit 12% (5)
Over or inefficient use by children 12% (5)
Need for constant supervision of children 12% (5)
____________________________________________________________________
When asked to describe barriers to multimedia use, 75% of graduate teachers
responded. Most responses were grouped into one of four categories. As can be seen in
Table 5.4, the categories of responses mirrored many of those that were previously
noted as disadvantages, for instance lack of funding, and lack of time. Additional
barriers described by graduate teachers that could not be categorised included “Yes, my
lack of wanting to use them”, and “Many don’t see computers as worthwhile or
necessary”.
Table 5.4 Barriers to Using Multimedia in Work ____________________________________________________________________ Barriers (n = 54) ____________________________________________________________________ Lack of funding for resources/equipment 74% (40)
Lack of training, knowledge, confidence 26% (14)
Lack of time 6% (3)
Technical problems 6% (3)
____________________________________________________________________ The role of technologies in higher education
In order to further investigate perceptions surrounding the role of technologies in
higher education, these teachers were asked about the frequency of use of technologies
at university, how the technologies were used, the relative importance of the
technologies and the future use of technologies in higher education.
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Teachers indicated that they saw only limited use of the technologies by
academic staff throughout their four-year university course (refer Table F.9 Appendix
F). At least half the 1997 respondents indicated that academic staff made no use of CAI
(53%), multimedia (50%), audiographics (74%), and the Internet (64%), while almost
half (47%) also reported no use of email. The most frequent use appeared to be made of
multimedia and email, with 17% reporting daily or weekly use of both technologies. In
1997, teachers reported that while at university, they also made only limited use of the
technologies (refer Table F.10 Appendix F). Analysis of descriptions from the 36
graduates who responded to the question about how the technologies were used,
revealed that graduates typically focused on use of the Internet or library databases for
finding information (33%) and use of email by students and academic staff for
communication (31%). Twelve percent (3) of teachers also noted instances of one or
more of the technologies being demonstrated to them and one teacher each noted the use
of teleconferencing on one occasion and reviewing a piece of software. The various uses
of the technologies are presented in Table 5.5.
Table 5.5 Academic Staff Use of Technologies ____________________________________________________________________ Type of use (n =36) ____________________________________________________________________ Internet for research/information retrieval 33% (12)
Email communication/assignment submission 31% (11)
Presentation of lectures 19% (7)
Demonstration/assessment of technologies/programs 12% (3)
Video/teleconferencing 3% (1)
Reviewing software 3% (1)
____________________________________________________________________ Teachers’ opinions concerning the importance of the technologies to higher
education were largely consistent. In 1997, a majority of new teachers regarded all five
technologies to be reasonably or very important to the delivery of higher education. The
Internet was most frequently nominated as very important to the delivery of higher
education (68%) followed by multimedia (63%). Only a handful of respondents
regarded these technologies as being unimportant to the delivery of higher education. In
contrast, CAI was regarded by more than one in five new teachers as being not
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important to the delivery of higher education (These frequencies are presented in Table
F.11, Appendix F).
As could be expected, the majority of new teachers favoured increased use of all
the technologies in the delivery of higher education. Table F.12 (Appendix F) reveals
that, in 1997, preferred increased usage was most apparent for multimedia and the
Internet with more than 90% of the sample indicating they would like the technologies
to be used more.
The role of technologies in preservice teacher education In order to examine issues specifically related to preservice teacher education,
graduate teachers were asked to rank the technologies (from 1, Most important, to 5,
Least important) according to their importance to preservice teacher education and to
list the number of subjects or units studied throughout their preservice teacher education
that focused on technology use.
Responses regarding the relative importance of the various technologies to
teacher preparation revealed that half (50%) the group regarded multimedia as the most
important technology to teacher preparation while 28% ranked the Internet first (refer
Table F.13 in Appendix F). Only one respondent ranked audiographics as the most
important technology and only two rated email as the most important. In terms of
subjects studied, responses indicated that three-quarters (75%) of the teachers had
studied at least one such subject. More than 38% had studied two or more technology-
focused subjects.
Graduate teacher were also asked to rate the importance of preparation in the use
of technologies (on a scale ranging from 1, Not important, to 5, Extremely important),
the adequacy of such preparation (on a scale ranging from 1, Not prepared, to 5, Very
well prepared) and to indicate which (Universities, Schools, or both Universities and
Schools) was responsible for preparation.
Responses indicated that new teachers viewed preparation in the use of
computer-based technologies to be highly important. More than half (56%) the group
viewed technology preparation as extremely important. A further 36% and 6% regarded
preparation as very important or important respectively, indicating that more than 98%
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considered preparation to be at least ‘important’. In contrast, none of the sample
regarded technology preparation to be not important and only 1% considered it to be
‘not very important’.
However, graduate teachers’ ratings of the adequacy of preservice teacher
education to prepare new teachers to use technologies in their teaching were low. As
evident in Table 5.6, less than one-fifth (19%) of the group rated technology preparation
as adequate. Only 1% believed that students were well prepared and none of the sample
considered students to be very well prepared in the use of technology. In contrast, 42%
of new teachers believed that students were not adequately prepared while a further 38%
believed they were not prepared at all. Taken together, these ratings indicate that most
new teachers viewed technology preparation as being less than adequate.
Table 5.6 Adequacy of Preparation in Technology Use (n = 72) ____________________________________________________________________ Not Not very Adequately Well Very well prepared well prepared prepared prepared prepared ____________________________________________________________________ 38% (27) 42% (30) 19% (14) 1% (1) 0% (0) ____________________________________________________________________
In terms of responsibility for this preparation, teachers overwhelmingly
indicated that technology preparation should be a dual responsibility of schools and
universities. More than 83% indicated that technology preparation should be a shared
task. Only 14% believed that universities were solely responsible, and only one graduate
teacher regarded technology preparation as a school responsibility.
Multimedia use in higher education In 1997, new teachers were asked to consider what they thought to be the
advantages and disadvantages associated with the use of multimedia technology in
higher education. This specific focus in the questionnaire on multimedia technology,
stemmed from the literature, which, at the time of the study, proposed that multimedia
offered numerous benefits to learners such as increased control over learning, flexible
study options and increased interactivity.
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To gauge perceptions about the relative merits of the traditional lecture and
multimedia-delivered instruction, graduate teachers were asked which strategy was
advantageous according to eight criteria. These criteria are listed in Table 5.7. Graduate
teachers were asked to select one response option (Lecture, Multimedia, Same, or
Undecided).
As Table 5.7 shows, new teachers believed that multimedia offered certain
advantages to students. Sixty-three percent of new teachers indicated that, compared
with the traditional lecture, multimedia provided more flexible study options. More than
half the sample (51%) also indicated that they believed that multimedia offered more
control over learning, and was more interesting (63%), interactive (58%) and motivating
(51%). In addition, nearly one-third (32%) of new teachers considered multimedia to be
more effective than the Lecture. Nevertheless, one in four (25%) of the sample were
undecided about which strategy was more effective and a further 26% believed the
strategies were equally effective. Similarly, 28% of the sample also felt that the Lecture
and multimedia were equally motivating.
The most support for the traditional lecture appeared to be in terms of its ability
to provide feedback. Forty percent of new teachers believed that the Lecture provided
more feedback than multimedia. In contrast, only 15% thought that multimedia offered
more feedback than the Lecture. Nevertheless, one in four (25%) of the sample were
undecided about which strategy provided more feedback, while a further 17% regarded
them to be equal in terms of providing feedback.
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Table 5.7 Preferred Teaching Strategy (n = 72) ____________________________________________________________________ Criteria Lecture Multimedia Same Undecided ____________________________________________________________________
Provides flexible
study options 8% (5) 63% (45) 14% (10) 14% (10)
Offers more control
over learning 15% (11) 51% (37) 17% (12) 15% (11)
Is more interactive 25% (18) 58% (42) 11% (8) 4% (3)
Is more motivating 15% (11) 51% (37) 28% (20) 4% (3)
Is more interesting 7% (5) 63% (45) 22% (16) 6% (4)
Is more effective 14% (10) 32% (23) 26% (19) 25% (18)
Accommodates
learning styles 1% (1 ) 65% (47) 17% (12) 15% (11)
Provides more
feedback 40% (29) 15% (11) 17% (12) 25% (18)
____________________________________________________________________
When asked, in an open-ended question, to suggest additional advantages
associated with using multimedia in higher education, 52 teachers responded. Most
responses reiterated advantages such as ‘flexible’ and ‘interesting’, however, some
novel responses were also provided. These responses were grouped according to the five
categories in Table 5.8.
As seen in Table 5.8, Preparation for teaching was the theme that dominated
responses. Twenty-six percent of teachers noted that an advantage of using multimedia
in the delivery of higher education was familiarity with technology for future teaching.
Self-paced / self-directed learning comprised the second largest group with 19% of
responses. The third largest group were those responses that focused on the quality of
delivery. Ten percent of teachers shared the view that multimedia Improved or varied
the teaching methods used in higher education, while six percent noted that it was
Stimulating/exciting or entertaining. Other open-ended responses that could not be
categorised were included “Easier for lecturer”, “Improved attendance”, and “More
comprehensive, up-to-date information”.
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Table 5.8 Advantages Associated with Technology Use in Higher Education ____________________________________________________________________ Advantages (n = 52) ____________________________________________________________________
Familiarity with technology/Preparation for teaching 26% (13)
Enables learning to be individualised/self-paced 19% (10)
Adds variety to/improves presentation 10% (5)
Stimulating/ exciting/ entertaining 6% (3)
____________________________________________________________________
Fifty-eight percent (42) of graduate teachers also commented on what they
regarded to be the disadvantages associated with using technology in the delivery of
higher education. Thematic analysis revealed six themes or categories among the
responses. It is noteworthy that three respondents also noted “none” while a further
three commented Depends on quality of lecturer/program. The categories of responses
and number of responses within each category are outlined in Table 5.9. As can be seen
in the Table, the largest group of responses concerned lack of human interaction
afforded by multimedia. Thirty-six percent commented that learning with multimedia
was Impersonal or lacked feedback/discussion. The second largest group of teacher
responses (19%) highlighted Lack of student knowledge or competence as a
disadvantage, while a further 17% of responses highlighted problems associated with
access to computers. In addition to the remaining categories shown in the table,
miscellaneous or one-off comments were, “It needs to be used effectively”, “People
gather round computer screen – hard to see”, “More fact-based than opinion-
generating”, “The technology present is behind what schools have and opportunity for
use is limited”, and, “Cost”.
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Table 5.9 Disadvantages Associated with Technology Use in Higher Education _____________________________________________________________________ Disadvantages (n = 42) ____________________________________________________________________ Impersonal/ Lack of feedback/discussion 36% (15)
Students lack of knowledge/competence 19% (8)
Access problems 17% (7)
Risk of over reliance/inappropriate use 10% (4)
Students need to be motivated/ self-directed 7% (3)
Technical problems 5% (2)
_____________________________________________________________________
DISCUSSION
As noted in the literature, prior to 1997 little research had been
conducted into teachers’ perceptions and usage of computer-based technologies.
Existing studies tended to investigate relationships between specific learner
characteristics and technology use and rarely were those ‘learners’ preservice teacher
education students. Furthermore, due to the relatively recent emergence of computer-
based technologies, the use of these technologies remained largely unexplored. What
was apparent at the time of the 1997 study, were growing demands that classroom
teachers were technologically literate. Organisations such as the United Nations had
stipulated that the development of children’s information skills was a fundamental right.
In Australia, policy documents such as the Carmichael, Finn, and Mayer reports and
National Statements called for all teachers to have basic skills in information technology
(Bowes, 1994), while locally, the Queensland Schools Computer Policy (1991) stated:
Teachers will acquire skills and competencies in the use and application of computers to ensure support for the integration of learning technology across the P-12 curriculum
(Queensland Schools Computer Policy, 1991; cited in Tinkler, Lepani & Mitchell, 1996, p. 13).
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In 1997, reports from graduate teachers indicated that most possessed some
knowledge of the five technologies noted in the survey, although only a handful claimed
to be very knowledgeable about any of the technologies. Teachers’ reports indicated that
they were largely self-taught in their use of the technologies, while many also
acknowledged receiving help from colleagues. Apart from multimedia, which was used
regularly by almost half the group, only limited use was made of the other technologies
in classroom teaching. Most teachers claimed to never use email, the Internet or
audiographics in the classroom. Given findings such as those by Oliver (1994) and
Huang (1994), this was not surprising. The majority of first year teachers surveyed in
Oliver’s study in Western Australia made little or no use of technologies. Likewise,
Huang commented that, although technology was valued by the school-based preservice
education teachers in his United States study, it remained under-utilised in teaching.
Previous research linking gender (Chua et al., 1995; Spotts & Bowman, 1996),
computer ownership (Chen, 1986; Collis, 1985; cited in Spotts & Bowman, 1995; Lloyd
& Gressaed, 1985; cited in Reed et al., 1995) and perceptions and use of computers
suggested that further investigation of the effects of gender and computer-ownership
was warranted. Findings from this 1997 study were largely inconclusive. In the
aforementioned studies, females were found to be less confident in their use of
technology and /or less likely than males to own a computer. Although, in Huang’s
(1994) study, it was females who reported greater use and higher valuing of technology.
Due to the small number of males (five) in this study, however, reliable inferences about
the role of gender could not be drawn. In relation to computer ownership, owning a
computer also did not appear to be a predictor of attitudes towards or usage of
technologies. What was apparent, was a higher rate of computer ownership among
graduate teachers in the current study compared with those in Chua’s (1995)
Queensland study two years earlier.
Previous studies had concluded that underlying new teachers’ limited
technology use was a lack of confidence (Handler, 1993; Hochman, Maurer & Roebuck,
1993; and Lui, Reed, & Phillips, 1990; cited in Gabriel & MacDonald, 1996). Findings
from the current study supported this notion. The majority of graduate teachers reported
feeling not, or not at all, confident in their use of the Internet, email and audiographics
and these three technologies were used the least often in the classroom. However, most
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teachers did claim to be confident or very confident in their use of multimedia and CAI
and data analysis confirmed that these two technologies were used the most frequently.
Unlike confidence, negative attitudes did not appear to be a contributing factor
to teachers’ limited use of the technologies. Most teachers reported that they hoped to
use all of the technologies more frequently in their teaching, particularly multimedia and
the Internet. In relation to multimedia, teachers explained that it helped to keep children
interested and motivated, it enabled access to up-to-date information, encouraged
children’s independent learning, added variety to learning, promoted computer literacy,
and accommodated a range of learning styles.
Further explanation for low rates of technology use was gleaned from teachers’
comments about barriers to their use of technology. As noted, the most frequently cited
barrier stemmed from the lack of equipment or resources at school. This contrasted
markedly with Oliver’s (1994) finding in his Western Australian study where teachers
indicated that access to hardware and software at the school was good.
Opportunities for inservice training also appeared to impact on teachers’
technology use. Despite assurances articulated in the Queensland Schools Computer
Policy (1991) about the importance of on-going professional development and support,
few teachers in the current study attributed their knowledge of the technologies to
inservice training or professional development. Furthermore, more than a quarter of the
teachers also commented that lack of inservice training was a primary barrier to their use
of technology. It would appear then, that for many teachers in the current study, the
Queensland Schools Computer Policy has so far failed to translate policy into practice.
While inservice training programs and available equipment and resources
undoubtedly facilitate teacher’s technology use, many maintain that the production of
graduates who are confident and competent users of technology is the responsibility of
teacher education programs (Battisa & Krockover, 1982; Bean, 1988; Hess, 1990; cited
in Gabriel & McDonald, 1996; Gabriel & McDonald, 1996; Handler, 1993; Lyons &
Carlson, 1995; Oliver, 1994; Thompson & Schmidt, 1994). However, prior to 1997,
studies in the United States had revealed widespread dissatisfaction among graduate
teachers with their preservice teacher education technology preparation (Colon et al.,
1995; Topp, 1993; cited in Topp, Mortensen, & Grandgenett et al., 1995). Extensive
110
research in the United Kingdom and the United States by Davis et al (1995) also
reported similar findings. Although most teachers in the studies reported that they were
taught with, or taught how to use, some information technologies during their training,
few felt they were well prepared to use these technologies in their teaching. Likewise, in
Australia, Oliver’s 1994 study revealed that almost half of the first year teachers studied
regarded their training as poor or very poor.
Findings from the current study suggested that there had been little or no
progress in preparing teachers to use technology. The majority of graduate teachers
rated their technology preparation as inadequate, while less than one fifth believed that
they were well, or very well, prepared.
When asked what might lead most to an improvement in preservice computer
training, secondary teachers in Oliver’s (1994) study suggested that there was a need for
formal training in computers. This suggestion is hardly novel. As early as 1991, the
International Society for Technology in Education, decreed that "all teacher preparation
programs must provide fundamental concepts and skills for applying information
technology in educational settings" (Thomas, 1991; cited in Espinoza & McKinzie,
1995, p. 627). However, in contrast with Oliver’s (1994) study in which one third of
new teachers reported no computer training throughout their preservice teacher
education, the majority of students in the current study claimed to have completed at
least one technology unit while many also indicated that they had completed two or
more such subjects. Yet, despite this exposure to technology, they remained dissatisfied
with their training. Handler (1993) made similar observations in the United States,
noting that although the vast majority of students in teacher education programs
undertake specific information technology courses, many still feel unprepared to use
technology in the classroom.
Clearly then, the completion of technology specific subjects alone may be not be
sufficient to prepare preservice teachers to use technology in their teaching. As noted in
the literature, many maintain that the key lies in academic staff modelling the use of
technology (Davis, Willis, Fulton, & Austin, 1995). Studies in the early 1990s cited by
Wild (1994) linked the modelling of technology use by lecturing staff with increased
teacher usage of technology in the classroom (Gooler,1989; cited in Wild; Davis, 1992;
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Handler, 1993; Wright,1993). Likewise primary and secondary preservice teachers
Huang’s (1994) study in the United States found that both their utilisation and valuing
of technology were significantly correlated with faculty modelling. When asked how
teacher preparation could be improved, primary teachers in Oliver’s (1994) Western
Australia study called for more faculty demonstrations in how to use and apply a range
of software packages.
Although the benefits associated with observing faculty using technology
(Handler, 1993; Huang, 1993; Wild, 1994; Wright, 1993), remain undisputed, research
conducted in the mid 1990s revealed that preservice teacher education lacked
opportunities to observe and interact with technology (Colon et al., 1995; Handler,
1993; Huang, 1994; Spotts & Bowman, 1995; Willis et al., 1995). Similarly, most
teachers in Oliver’s (1994) study claimed that they not been exposed to computers at all
during their preservice training. In 1997, reports from teachers in this study indicated
that little had changed. Survey responses indicated that the majority of graduates had
never seen CAI, multimedia, audiographics and the Internet being used by academic
staff throughout their four-year course, while almost half had witnessed no use of email.
Of those who provided examples of how academic staff utilised technology, only three
noted instances of modelling or demonstrating technology use. Instead, most usage
appeared to centre on using the Internet for searching databases and using email to keep
in touch. It seemed, therefore, there was little evidence of the exposure to quality
integrated technology experiences that writers and researchers (Thompson & Schmidt,
1994 Battisa & Krockover, 1982; Bean, 1988; Hess, 1990; cited in Gabriel &
MacDonald, 1996; Handler, 1993; Lyons & Carlson, 1995; Thompson & Schmidt,
1994) had suggested were so critical to teacher preparation.
Despite their lack of exposure to technology, there was little evidence that
graduate teachers were reluctant to embrace technology use in higher education. On the
contrary, the vast majority of teachers believed that use of all of the technologies should
be increased. The technology most widely regarded as the most important to their
preparation was, not surprisingly, also the technology nominated by teachers as the most
useful to their own teaching. This technology was multimedia.
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Indeed, in support of previous research, graduate teachers in this study
associated multimedia with a range of positive teaching and learning outcomes. In 1997,
graduate teachers agreed that multimedia was a flexible teaching and learning strategy
(Stedman, 1995), that offered control over learning (Felix & Askew, 1996; McLoughlin
& Oliver, 1994; Sims & Hedberg, 1995; Waddick, 1995), was interactive (Simpson,
1994), interesting (Gooley et al., 1994; Iynkaran & Crilly, 1994) and motivating (Fyfe &
Fyfe, 1994; Waddick, 1995) and able to accommodate a diversity of learning styles
(Choo, 1994; Dickinson, 1994; Forgo & Koczka, 1996; Hsi & Agogino, 1994; Olivier
& Buckley, 1994). Graduate teachers were also more likely to agree that multimedia-
delivered instruction was effective in terms of understanding of subject content (Crosby
& Stevlosky, 1995; Hsi & Agogino, 1993; Iynkaran & Crilly, 1994).
However, in contrast with Hsi and Agogino’s (1994) findings, graduate teachers
in this study did not agree that multimedia offered improved feedback. When prompted
about disadvantages associated with this technology, many claimed that multimedia
offered limited feedback and reduced opportunities for discussion or questioning.
Graduate teachers also expressed concerns stemming from a lack of knowledge about
how to use the technology effectively and difficulties accessing multimedia capable
computers. These findings supported those of James et al. (1995) who found that
students in his study were concerned about access and the inability to ask questions
when using multimedia. Notwithstanding these misgivings about multimedia, the
majority of teachers in the current study believed that all technologies except
Audiographics were very important to the delivery of university education.
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CHAPTER 6
BACKGROUND TO PHASE 2
INTRODUCTION
This chapter reviews the literature that informed the second phase of research.
This literature focuses on initiatives and developments that have impacted on higher and
preservice teacher education since the initial phase The chapter highlights current
research into teachers’ usage of technologies and describes specific policies and
initiatives at the university level that relate to technologies and preservice teacher
education. The chapter concludes with several questions that arose from the literature
and from findings generated by Phase 1 of the study.
Preface to Phase 2 As described in Chapters Four and Five, findings from the first phase of research
were largely supportive of those of previous studies. Academic staff and graduate
teachers, although positive in their outlook towards technologies, lacked confidence in
their use of technologies and made little use of technologies in their teaching. Both
groups hoped to make more use of the technologies in their teaching in the future and
graduate teachers recommended that the use of technologies in preservice teacher
education be increased. Graduate teachers and academic staff considered preparation in
the use of technologies to be important but rated this preparation as inadequate. This
was despite reports from most graduates that they had studied at least one technology-
specific unit or subject at university. The groups reported numerous barriers to their use
of technology but common to both was the perception of lack of resources and
equipment and lack of, or ineffective, training. Rather than acquiring their knowledge of
technologies through training, both groups reported being largely self-taught. For
academic staff, available training was also a primary incentive to technology use.
Continued impacts of technology on Higher Education Since 1997, the technology revolution continues to challenge and redirect all
forms of education (Groves & Zemel, 2000). Nunan et al. (2000) noted that at the
university level, the growth in student numbers in the “transition from semi-elite to
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semi-mass education” (p. 93) has resulted in greater student diversity. However, the lack
of a commensurate increase in government funding has meant that academics have
faced increased sizes and numbers of classes, larger marking loads and more
administrative tasks in each course. According to Nunan et al. (2000), this diversity calls
for a wider repertoire of teaching strategies, resources and sensitivities, along with the
adjustment of teaching and learning to account for more “complex group
communications” (p.93).
To many, technological advances continue to be both the cause and effect of
change in the delivery and support of education (Nunan et al., 2000). Oliver (2001)
notes that the challenge for universities is how to best use technology in teaching and
learning and how to develop strategic plans and processes around technology that will
“take them forward in sustainable ways” (p. 222). Indeed, such is the value of
technology today, that criteria for the Good Universities Guide Australian University of
the Year 2000-2001 award focused on the development of the e-university that would
prepare graduates and the university for the emerging e-world. The recipients of this
coveted award claim to offer students flexibility of time, place, and pace, highly refined
materials, and advanced interactive delivery at negligible institutional costs. They note
that the technologies that make this possible are online interactive multimedia, Internet-
based access to World Wide Web resources, computer-mediated communication using
automated response systems, and campus portal access to institutional processes and
resources (Taylor, 2001). At this award-winning university teaching and learning
approaches were based on what is referred to as the Fifth Generation Distance
Education Model or the Intelligent Flexible Learning Model (Taylor, 2001 p.2).
Marginson (2000) emphasised that Australian universities are being transformed
by profound long-term changes and the imminent challenges posed by competition for
online students (Taylor, 2001). These changes, inevitably, are reshaping academic work
and the academic profession. Marginson acknowledges that one of the biggest changes
stems from the growth of instructional and communications technologies and the
resulting “mushrooming of non-faculty support professionals” (p. 34). He claims that
this situation has arisen in part because many believe that academics are
“technologically challenged” (p.34). Whatever the reason, Marginson believes that the
effect of this development has been the bypassing of academics and the undermining of
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autonomous academic control over the curriculum. As such, he claims that in order for
academics to remain in control over the evolution of scholarship and research, it is
essential that they engage more fully in decision-making surrounding strategically
important areas such as new technologies.
So, five years on from the implementation of Phase 1 of the study what does
research tell us about technology use in higher education? Despite the aforementioned
challenges, research related to the adoption of technology by academic staff remains
scarce. Groves and Zemel (2000) describe the challenges faced by higher education in
recent years as “daunting” and note that the importance of technology has continued to
grow. Their study of academic staff in one United States university revealed that 46%
believed that technologies were very to critically important to their teaching. Likewise,
53% of academic staff in a single university study by Beggs (2000) agreed that
technologies were very to critically important to their teaching. This compares with only
38% of staff in Spotts and Bowman’s (1995) study. Recent cross-national research
(Mueller, Jones, Ricks, Schegelmilch, & Van Deusen, 2001) on academic staff attitudes
(n = 138) towards multimedia also revealed strong support for the use of this technology
in teaching. According to the researchers, 87% of staff agreed or strongly agreed that
multimedia has a positive impact on student interest, 67.9%, that it helped to explain
concepts, and 39% that it assisted student-staff communication.
Since 1997, new studies have shown changes in academic staff knowledge and
use of technologies. Using measures adapted from Spotts and Bowman’s (1995)
instrument, Groves and Zemel (2000) surveyed staff (n = 54) in a United States
university about a range of technology issues. Comparisons between the 1995 and 2000
data on knowledge and usage are provided in Table 6.1. As the table indicates, in 2000,
there were significant greater numbers of staff claiming good to expert knowledge of
email and, to a lesser extent, multimedia but a slight decrease in relation to computer
conferencing. Daily to weekly use of email and multimedia was also greater although
daily to weekly computer conferencing dropped to zero. Groves and Zemel (2000) also
surveyed academic staff about the Internet and found that 42% reported good to expert
knowledge of this technology and 45% used it on a daily to weekly basis. In terms of
frequency of use, Groves and Zemel, like Spotts and Bowman (1995), noted that the
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technologies that staff claimed to be most knowledgeable about were those that they
used often.
Table 6.1 Academic Staff Reports of Knowledge and Use of Technologies (Spotts & Bowman, 1995; Groves & Zemel, 2000) ____________________________________________________________________ Good to Expert Knowledge Daily to Weekly Use 1995 2000 1995 2000 ____________________________________________________________________ Email 32% 62% 16% 40%
Multimedia 13% 21% 2% 11%
Computer conferencing 16% 14% 7% 0%
The Internet N/A 42% N/A 45%
____________________________________________________________________
Surprisingly, data from the studies on academic staff home computer ownership
revealed that rates remained consistent over the years. In 1995, home computer
ownership for academic staff in Spotts and Bowman’s study was 83%. In 2000, in
Groves and Zemel’s study it was 85%. Similarly, home computer ownership among
staff in the study by Beggs (2000) was 90%.
As noted in earlier literature, initial work by Spotts and Bowman (1993) shed
light on the factors that influenced academic staff use of technology. Several years later,
using similar instruments, studies in the United States by Groves and Zemel (2000) and
Beggs (2000) sought to determine if staff still considered these factors to be important
influences. Table 6.2 compares original data from Spotts and Bowman’s study with the
two recent studies and shows that these factors appear to be more influential than ever.
With the exception of funding which remained unchanged and use by colleagues which
was actually less in the study by Beggs (2000), the table shows that since 1993,
increased numbers of academic staff regarded most of the factors as important or critical
influences in their use of technology. This increase was particularly apparent for
available administrative or technical support, time to learn, comfort with technology and
training.
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Table 6.2 Very to Critically Influential Factors in Faculty use of Technology ____________________________________________________________________
Spotts & Bowman Groves & Zemel Beggs (1993) (2000) (2000)
____________________________________________________________________ Available equipment 86% 97% 89%
Improved student learning 85% 97% 89%
Improved student interest 68% 96% 71%
Advantage over traditional method 72% 92% 80%
Ease of use 65% 91% 74%
Time needed to learn 56% 91% 72%
Training 58% 87% 69%
Compatibility with discipline 79% 86% N/A
Comfort with technology 46% 80% 54%
Administrative/technical support 26% 80% 80%
Compatibility with existing materials 58% 77% 62%
Use by colleagues 15% 35% 13%
Funding for resources 79% 79% N/A
____________________________________________________________________
Beggs (2000) proposed that the individual factors could be grouped according to
Instructional and learning issues (including improved student learning, advantage over
traditional delivery, increased student interest), Equipment access and training
(including equipment availability, ease of use, time needed to learn and training, or
Instructional materials – discipline-specific factors (including administrative support
and comfort with technology). Further analysis revealed that Instructional and learning
issues appeared to be the most influential factors, followed by Equipment access and
training and Instructional materials – discipline specific.
Faculty members in the study by Beggs (2000) were also asked to select from
six factors, those that posed very important or critically important barriers. Responses
indicated that the most significant barriers were lack of time, followed by lack of
equipment and lack of training. From these findings, Beggs (2000) concluded that
before faculty members will adopt technology, they must be certain that it will have a
significant impact on instruction and they require a university climate that is conducive
to technology use providing strong administrative support, sufficient equipment and
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resources and extensive training. More recently, Mueller et al.’s (2001) investigation of
barriers to technology use revealed that the barrier cited by most academic staff was lack
of training, followed by lack of technical support and lack of equipment.
Technology use in Teacher Education Clearly, the successful integration of technologies throughout preservice teacher
education relies on a complex range of factors – referred to by Strudler and Wetzel
(1999) as “enabling factors”. Since 1997, several studies have attempted to elucidate the
conditions that foster technology integration by teacher educators. Strudler and Wetzel’s
(1999) United States study of teacher education colleges with ‘exemplary practice’ in
technology integration revealed that common to all these colleges was the informed and
committed leadership of deans, administrative and faculty leaders. These leaders, the
researchers noted, had vision and goals related to technology integration that facilitated
funding, technical support, access to technology, direction and support for training, and
“pedagogical fit” – an understanding of how technology could “fit with and enhance
their current instructional styles and practices” (p.74). Strudler and Wetzel (1999)
asserted that technology training must be provided by those who have an understanding
of curriculum integration and should be offered in a variety of formats including group
workshops and one-on-one learning opportunities.
Along with access to appropriate hardware and software, technical support and
time, Matthew et al. (2002) also found that, for teacher educators at one university, the
availability of and nature of training opportunities was critical to their integration of
technology. According to Matthew et al. (2002), professional development in
technology integration is about changing teaching practices to best utilise technology.
They maintained that training in the form of one-on-one coaching or mentoring is most
successful because it is self-paced, provides individualised attention that focuses on the
skills and knowledge needed, and ongoing support. Consistent with this view were
findings from studies in the United States by Cooper (1999; cited in Thomas & Cooper,
2000) and Haile and Payne (1999). Cooper’s (1999) evaluation of a two-year funded
technology infusion task group in a teacher education college revealed successful,
though slow, technology integration. The researchers noted, that while faculty were
interested and involved in integrating technology, they desired one-to-one design
support from colleagues and opportunities to exchange ideas. Ongoing barriers to
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technology integration were time limits, student access, and knowledge of availability of
equipment in schools.
Research by Vannatta (2000) revealed that high levels of technological
competency and skills in integration do not necessarily go hand in hand. While most
teacher educators at a university reported moderate to high levels of proficiency in email
(92.8%), the Internet (76.2%) and multimedia (69.8%), 40% commented that they
needed training in how to integrate technology into their teaching. When asked to select
their preferred training method, 42.2% preferred a one-on-one peer mentor program,
31.1% a two-hour group sessions, 28.9% a student-faculty mentor program, and 11.1%
a half-day group session.
Individualised training was the key to positive outcomes for faculty in a study by
Haile and Payne (1999). In Haile and Payne’s (1999) study, faculty members at one
university were assigned an Instructional Technology Assistant (ITA) who had expertise
in multimedia and provided one-on-one computer training tailored to meet the
individual needs of faculty. Evaluations revealed that, after training, faculty had changed
their teaching style to focus more on guiding and facilitating learning rather than
imparting knowledge. One year later, according to the researchers, faculty continued to
use multimedia as part of their regular teaching for searching the Internet, constructing
web pages, communicating with email, using and evaluating WWW sources and
software packages. Haile and Payne (1999) concluded that extensive professional
development was needed over many years in order to prepare teacher educators to
adequately use technology. They claimed, however, that in most teacher education
institutions, faculty continue to lack specific training in technology integration and must
be supported and encouraged in their efforts by colleagues and the university
administration.
Prior to 1997, several writers had proposed that university valuing of teaching
also impacted on faculty use of technology in their teaching. Literature since then
continues to support this view. For instance, faculty members in the study by Spotts
(1999) of technology integration in a United States university indicated that their time
could be better spent pursuing activities that the university promoted as necessary for
promotion or tenure. In particular, untenured faculty commented that it was more
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beneficial to spend time on research and publications because promotion and review
boards valued these activities above instructional excellence or development and
implementation of instructional materials utilising new technologies. Spotts (1999)
concluded that technology use will remain limited until university promotion and tenure
review boards recognise its importance. Weeks (2000) also highlighted the
comparatively low value accorded to teaching in universities, noting that the second rate
status of teaching in higher education is a major inhibitor to staff developing their
teaching practice. She noted that in Australia, compared with the United Kingdom and
to a lesser extent the United States, faculty were less likely to be rewarded (in the form
of credentials) for attempts to improve their teaching. Lueddeke (1999) commented that
Crimmel’s (1984) observation “Hired to teach, paid to publish” sums up the paradox
still facing most academics.
Teacher Education - Developments 1997 to 2002 Although all higher education faculty are affected in some way or
another by technology integration, teacher educators are confronted with unique
challenges. Increasingly, teacher education programs are being held accountable for the
performance of their graduates (Dewert, 1999). As Thomas and Cooper (2000) argued,
the proliferation of new technology in schools makes it incumbent upon teacher
education programs to ensure that technology is integrated in teacher preparation
programs.
New technologies and teacher education are currently at the forefront of many
government policies, with explicit and implicit links between education and the
emerging knowledge economies on all continents of the world (Davis, 2000). Davis
(2000) noted that in the United Kingdom, the government’s aim was to ensure that all
practising teachers could teach with computer technologies by 2002.
Worldwide, an increasing expectation that teachers are technologically literate is
evident from the emergence of technological competency standards. Agencies such as
the National Council for the Accreditation of Teacher Education (NCATE) and the
International Society for Technology in Education (ISTE) in the United States and the
Teacher Training Agency in the United Kingdom are now a catalyst for national
standards, programs and evaluations of teacher education (Downes, Fluck, Gibbons,
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Leonard, Matthews, Oliver, Vickers, & Williams, 2001). In many countries around the
world, such standards have been pivotal in shaping the content and direction of teacher
education programs.
One organisation in the United States, the CEO Forum on Education and
Technology, has developed what it terms the Teacher Preparation STaR Chart. This
chart is a self-assessment tool for universities and faculties of education designed to
provide an indication of how well they are preparing tomorrow’s teachers to use
technology. The chart helps institutions determine their current status relative to
conditions or factors thought to enable the preparation of teachers who are information
literate, fluent with information technology and able to use a variety of technologies to
help P-12 students learn. The 18 indicators or standards outlined on the chart are
grouped under Campus-Wide Leadership, Campus Infrastructure,
Schools/Colleges/Departments of Education (SCDEs) Leadership, SCDE Infrastructure,
SCDE Curriculum, Faculty - Competence and Use, Students – Competence and Use,
Alumni Connections (CEO Forum on Education and Technology, 2000). The chart has
been adopted by several teacher education institutions in the United States. Criticism of
the STaR Chart, however, stems from its lack of clarity in relation to terminology,
measurement of skills and program capabilities (Downes et al., 2001). Questions could
also be raised about the underlying motives of the CEO Forum whose membership
comprises representatives from companies such America Online, Inc (AOL), Apple
Computer, Inc, Bell Atlantic, Dell Computer Corporation, IBM Corporation, Compaq
Computer Corporation, Lucent Technologies, Flextronics International, and Advanced
Network and Services Inc.
In recent years in Australia, there have been several initiatives and policy
directives designed to both enhance and standardise teachers’ technological skills. The
Australian Council for Computer Education (ACCE) (2000), for instance, has developed
a rationale for the specification of teacher competencies (Russell et al., 2000). As
Downes et al. (2001), noted, however, there remains no unified set of national education
standards for beginning teachers’ technology skills. Furthermore, despite assertions by
the Committee for the Review of Teaching and Teacher Education (2003) that teacher
education programs must “equip teachers with the necessary skills, knowledge and
attitudes to enable them to develop innovative capacity in students” (p. 20), there is still
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no related set of national program requirements for teacher education institutions
surrounding the provision of appropriate learning experiences for preservice students
(Downes et al., 2001). In the absence of national standards and requirements, those
departments responsible for education in New South Wales, Victoria, Tasmania, and
Queensland have developed their own criteria for teacher capabilities. New South
Wales, however, is currently the only state to have devised standards applicable to
graduating, as well as, practising, teachers.
In Queensland, teachers’ technological skill requirements are currently
articulated in the document Minimum Standards for Teachers – Learning Technology
developed in 1999 by Education Queensland. Underpinning this initiative is the aim of
improving “student learning outcomes through the integration of computers in the
curriculum and bringing worldwide information resources to Queensland state school
classrooms” (p.6), along with the recognition that achievement of this aim depends on
teachers’ competence and confidence in the use of computers for learning and teaching.
The rationale for the Minimum Standards, therefore, is for all teachers to possess a
minimum level of skill in the use of computers for learning. The standards relate to four
key areas:
1. Information Technology skills (focusing on the operation and use of both
hardware and software);
2. Curriculum application including classroom planning and management
(addressing the use of learning technology in key learning areas and encompasses
classroom management strategies);
3. School planning (relating to the processes and procedures that promote
continuity and coordination of learning technology activity at the school-wide
level) and,
4. Student-centred learning (dealing with the application of effective teaching and
learning processes to learning technology).
(Education Queensland, 1999, p. 6)
Related to each key area is a checklist of descriptors that teachers can use to
assess their competency levels. Schools can use data from teachers’ checklists to plan
professional development programs. These programs may be delivered in a range of
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modes (including self-paced tutorials, an Education Queensland Trainer, a private
training organisation, peer tutoring and mentoring, and participation in tertiary courses
offering credit for specific modules). Once a school principal or delegated staff member
is satisfied that a teacher has met the required standards (through a negotiated mix of
demonstration, interviews and portfolio work) in all four areas, teachers can apply for a
Learning Technology Credential.
Teachers in Schools – Developments 1997 to 2002 Have the heightened interest in and activity surrounding technology integration
since 1997 influenced teachers’ perceptions and experiences of technology? A review of
recent international literature suggests that many new teachers continue to lack
confidence (Hasselbring et al., 2000, Jerald & Orlofsky, 1999; Ross et al., 1999), are
making limited use of technologies in their teaching (Hasselbring et al., 2000; Williams
et al., 2000) and continue to be confronted by numerous barriers to technology
integration including unsatisfactory or inadequate inservice and preservice training
(Cole, 2000; Hasselbring et al., 2000; Russell, 2000). Furthermore, emerging research
also indicates that, even when teachers use technology, it is rarely used to its fullest
potential (Brush et al., 2001; McCannon & Crews, 2000; Strudler & Wetzel, 1999;
Willis, Thompson & Sadera, 1999; Wright, 2001).
Since 1997, several studies have continued to reveal low rates of technology
usage among teachers. In 1999, for instance, an Education Week survey of 1407
teachers across the United States indicated that 40% of teachers do not use computers at
all during a typical school week (Hasselbring et al., 2000). Likewise in Scotland, a
recent study of 681teachers revealed that most did not make daily or weekly use of
technologies (Williams et al., 2000). Several studies also continue to suggest that lack of
technology use by teachers is underscored by teachers’ lack of confidence or feelings of
competence (Ross et al., 1999). For example, a recent US wide survey by the National
Center for Educational Statistics, found that only 23% of teachers felt “well prepared” to
integrate technology into their teaching and only 10% considered themselves to be “very
well prepared” (Wright, 2001). Few of these teachers believed they had the skills
necessary to teach their students how to use technology (Hasselbring et al., 2000).
Replicate findings were reported in another United States study by Jerald and Orlofsky
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(1999) in which only one fifth of teachers surveyed felt prepared to integrate technology
into the curriculum.
While some studies (Zhao et al., 2001; Pope et al., 2002) indicate that
confidence levels among teachers might be improving, there is now growing concern
surrounding the ways in which technologies are being used. According to recent studies
in the United States and Scotland teachers tend to use computers for basic, supplemental
tasks such as drill-and-practice activities, word processing, educational games, and
computer-based tutorials (Brush et al., 2001; McCannon & Crews, 2000; Strudler &
Wetzel, 1999; Williams et al., 2000; Willis, Thompson et al., 1999; Wright, 2001).
In Australia, baseline data on teacher’s technology usage and capabilities was
provided by a national study commissioned by Department of Employment Training
and Youth Affairs (DETYA) (1999). This study collected information from 1258
teachers across 400 schools throughout the country. Study findings revealed that
although most teachers reported very high levels of many of the 13 basic computing
skills (e.g., turning on a computer, saving a document and using a mouse), fewer
reported having ‘advanced’ computing skills (such as retrieving information from the
Internet or other databases and using software programs to create pictures). Particularly
limited usage was reported for communicating with others (such as communicating with
schools in other countries, participating in an email or Internet relay chat or using
videoconferencing technologies). Russell et al’s (2000) review of the study concluded
that its findings were cause for concern. With reference to the DETYA (1999) study,
Yelland, Greishaber and Stokes (2000) acknowledged that in recent years there appear
to have been gains in basic computing skills and levels of confidence among practising
teachers. They cautioned, however, that the DETYA findings indicated that teachers
were unlikely to be applying their skills ‘in ways that are likely to fundamentally change
the ways they teach, or in ways that will enable the use of computers as other than
relatively low level educational tools’ (p.334).
Russell et al. (2000) acknowledged that although teachers’ usage of technologies
may not be exemplary, teachers, nevertheless, are strong supporters of technology use in
schools. They note that in the DETYA (1999) study, most teachers agreed that
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information technology has a made a worthwhile contribution to the quality of teaching
and learning and believed that these technologies were relevant across all subject areas.
Barriers to use of technologies by teachers in schools
An examination of literature reveals that, since 1997, little has changed in
relation to barriers to effective technology use with lack of knowledge, skills (Rice et al.,
2002; Williams et al., 2000), training (Dias, 1999; Franklin et al., 2002; Rice et al.,
2001), time (Dias, 1999; Franklin et al., 2002; Rice et al., 2001; Schrum, 1999), support
(Dias, 1999: Rice et al., 2001; Schrum, 1999; Strudler et al., 1999), and lack of
resources or access to equipment, (Dias, 1999; Franklin et al., 2002; Rice et al., 2001;
Schrum, 2001; Strudler et al., 1999; Williams et al., 2000) continuing to impede usage.
In Australia, the DETYA study revealed that lack of access to hardware/software for
teaching and learning was also a significant barrier to effective technology integration
for respondents, along with costs of hardware and software, and lack of available
technology support. Inadequate or unsatisfactory training and professional development
were also major impediments (Russell et al., 2001).
Since 1997, the variety and availability of professional development technology
training opportunities have increased dramatically (Hasselbring et al., 2000). For both
new and experienced teachers, professional or ‘inservice’ training is now recognised as
critical to the development and upgrading of skills in technology use. Recent literature
indicates, however, that some training programs have been more effective than others.
McCannon and Crews’s (2000) study of United States’ teachers, for instance, revealed
that although training in technology use was available to most teachers, courses tended
to be in word processing (e.g., Word) or operating systems (e.g., Dos, Windows, Mac).
The researchers noted that this training resulted in substantial increases in computer
usage for administrative tasks but less increase of using computers to enhance teaching.
Franklin et al. (2002), also highlight the growing support for inservice training, noting
that school districts in the United States now allocate around 6% to 15% of their
technology budget on professional development for teachers. However, like McCannon
and Crews (2000), they observed that technology training generally focused on basic
operations rather than curriculum integration.
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To date, research in Australia into inservice training in technologies has been
largely consistent with overseas findings. Here, 90% of teachers in the DETYA (1999)
study acknowledged that professional development opportunities were available to
them, although almost half rated these as inadequate and few felt strongly that they were
adequately informed about incorporating technology into the curriculum. The majority
of teachers reported that training amounted to 10 hours or less and was conducted after
school. Russell et al. (2000) argued that it was not the availability that was in question,
but the duration, type and location of training. They concluded that professional
development of current teachers needed to be dramatically upgraded. Findings such as
these prompted Hasselbring et al. (2000) to conclude that inservice technology training
was insufficient to produce the kinds of changes needed. From their extensive
international review of research they called for more opportunities for, and emphasis on,
integrating technology across the curriculum.
It is important to note that some recent technology training initiatives have also
met with success for curriculum integration. In the United States, a study by Ross,
Hogaboam-Gray and Hannay (1999) of K-3 teachers reported positive outcomes from
participation in a school-based “technology infusion” project. Pre- and post-study
surveys revealed improved confidence of teachers to use technology in their teaching
once they had been exposed to ‘technology infusion’ – described by the authors as
additional hardware and software, inservice training opportunities, and ongoing
technical support. In another United States study, Franklin et al. (2002) highlighted the
role of mentoring in enhancing teachers’ ability to integrate technology across the
curriculum. Their study involved instructional technology doctoral students mentoring
K-6 teachers in classrooms for around six months. According to the researchers, these
one-on-one relationships provided opportunities for modelling the curriculum
integration of technology, redesigning lessons around technology-rich resources,
overcoming common barriers to technology use, and applying troubleshooting skills.
A review of current literature reveals that preservice initiatives and models
designed to equip students with requisite technology skills and knowledge are now
many and varied. Presented in Table 6.3 is a summary by Downes et al. (2001) of the
current strategies and approaches typically used within teacher education programs in
Australia and overseas to facilitate technology integration.
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Table 6.3 Models of ICT Integration in Teacher Education Programs (Downes et al., 2001, p. 32)
This table is not available online. Please consult the hardcopy thesis available from the QUT Library.
Downes et al. (2001) note institutions will use one or more models of integration
at any given time although international and Australian research indicates that models
A, B, D and E currently dominate preservice teacher education courses. Emerging
evidence from overseas, however, suggests that model L may be a more effective
alternative (Downes et al., 2001).
Since 1997, there have been numerous attempts to validate the relative worth of
various approaches adopted by preservice teacher education institutions. For instance,
research at a university in the United States by Whetstone and Carr-Chellman (2001)
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outlined the value of specific technology-based subjects – an example of what Downes
et al. (2001) refer to as Model Type A - throughout preservice teacher education. They
noted that after completing a computer subject, most preservice students felt partially or
very comfortable with computers, while few reported feeling anxious about using
computers. Specifically, three quarters felt prepared to use email, almost two thirds felt
prepared to use content area software although less than half felt prepared to use the
Internet. At first glance, these reports from students are encouraging, however,
Whetstone and Carr-Chellman (2001) maintained that, generally speaking, preservice
student teachers (PSTs) “show over confidence with their computer skills and their
ability to implement them into schools in a meaningful way” (p.7). They cautioned that
students’ usage of technologies (mainly word processing) “indicates that they exhibit
little critical thinking about computer usage or the implementation of computers” (p. 6)
and recommended that “mandatory instruction is necessary so that PSTs’ skills and
practices equal beliefs and confidences” (p. 6).
A study in an Australian university by McRobbie et al. (2000) also provided
support for the value of discrete technology units within preservice teacher education
courses. McRobbie et al. noted that, because the introduction of technology as a key
learning area into Australian primary schools had occurred only within the last 5-10
years, very few practising primary school teachers had received any exposure to
technology during their schooling and preservice teacher education. In their study, a
cohort of preservice teachers participated in independent technology projects during a
compulsory technology unit within their one-year postgraduate teacher education
program. Findings from the study revealed that students’ engagement in the projects had
increased their awareness of ways for teaching with technology in the classroom.
According to a number of writers, though, compulsory or discrete units in
computer training are not sufficient to equip preservice teachers to use technology in
their teaching. To add weight to this claim, recent United States research by Willis and
Sujo de Montes (2002) on the effects of a newly introduced one-semester technology
course produced disappointing findings. Participation in the course apparently had little
impact on attitudes towards technology and the usage of technology during teaching
practicum. The researchers surmised that a single course in technology is not enough to
influence technology use and integration. Similar concerns were raised by Rice et al.
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(2001) who explained that while many preservice teacher education institutions offer
technology units to aid skill acquisition, they are taught as isolated subjects and
therefore, do not demonstrate how technology can be integrated across the curriculum.
Likewise, the Milken Exchange on Education Technology (1999; cited in Hasselbring et
al., 2000) cautioned that ‘stand-alone coursework’ was not a good predictor of
technology proficiency among graduating teachers.
Since 1997, literature continues to espouse the importance of academic staff in
preservice courses modelling and demonstrating integrated technology experiences
(Hasselbring et, al. 2000). Willis and Tucker (2001), for instance, note
If we at the university preservice level of education, expect to make changes
in how technology is used in the PK-12 environment, we must be models for
our students, willing to be innovative, and risk-taking ourselves, to explore
new strategies, methods and technologies.
(Willis & Tucker, 2001, p. 7)
Indeed, a major study conducted in the United States by the International
Society for Technology in Education concluded that teacher education programs are not
preparing teachers to teach effectively with technology because teacher educators do not
model technology use (Matthew et al., 2002). Matthew et al. (2002) explained that
teacher educators who integrated technology into their teaching provided preservice
teachers with models to emulate as they attempted to integrate technology into their own
teaching. Students, on the other hand, who did not see technology modelled by faculty
members were unlikely to use it in their own classrooms. Pope et al. (2002) also
endorsed the benefits of faculty modelling. In their study, preservice students received
modelling and gained experience in a variety of classroom uses of technology by
university technology staff. In addition, staff and students worked together to develop
plans for students’ future practicum technology experiences. According to the
researchers, pre- and post-testing revealed significant gains in students’ confidence for
using several technology applications in their classroom teaching.
The importance of faculty modelling was also stressed by Yelland et al. (2000).
They advocated that exposure to technological applications should begin in preservice
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teacher education program, permeating core and elective courses so that students were
confident and competent technology users. They maintained that technology should be
integrated into subjects so that its use becomes a “seamless aspect of the learning
processes that are a daily occurrence in education” (p. 102) but claimed that faculty
modelling of technology use remains the exception rather than the rule.
Strudler et al. (1999) argue that although exposure to educational computing and
technology coursework at university lays a much needed foundation, preservice
integration of technology into field experiences is the most effective means of preparing
graduates to use technology. Findings from a number of recent university-school
initiatives in the United States endorse this view. Vannatta (2000a), for instance reported
on a collaborative school-university venture involving “expert” school teachers
modelling technology integration ideas, sharing technology-rich lessons, demonstrating
applications and providing practicum students with hands-on technology use. Pre- and
post-study surveys from students, revealed significant increases in technology
proficiencies and integration experiences.
A similar project using school mentors during practicum also reported
substantial gains for those involved (Brush et al., 2001). In this project, university
computing and education faculty collaborated to develop a set of technology
competency activities that reflected national competency standards. Computing faculty
then mentored school-based teachers in the use of the activities. Once trained, these
teachers then mentored school-based preservice students in technology activities. Brush
et al. noted that through their participation in the program, preservice teachers became
aware of a range of options for using and integrating technology, were able to
demonstrate the use of state-of-the-art technology in their teaching and gained
understanding in how technology could be used to enhance numerous learning activities.
In Australia, the quality of preservice teacher education has attracted criticism.
A recent discussion paper by the Committee for the Review of Teaching and Teacher
Education (2003) claimed that teachers need more effective training in new and
changing technologies and called for teacher education providers to re-evaluate their
programs. Likewise, Russell et al. (2000) claimed that provision for preservice teachers
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must be revamped. Citing data from the national DETYA (1999) study, they noted that
few participating teachers acknowledged their preservice teacher education as a source
of either basic or advanced skill acquisition. A recent survey of heads and course
coordinators from teacher education programs in Australia (representing 900 academic
staff and 21, 246 students) by Downes et al. (2001) may go someway to explaining this.
According to the researchers, responses from heads were characterised by high
expectations but limited realisation of technology integration by academic staff and little
or no provision of rewards for such integration. Although 90% agreed that it was very or
moderately important for their faculty or school to have in place strategic plans and
resources allocations promoting the use of technologies in their teacher education
programs, only 70% of institutions did. Furthermore, while 75% of heads expected
teacher education staff to integrate technology in teaching of their subjects, only 30%
reported that staff did on regular basis and only 40% of institutions had in place rewards
or special recognition for such integration. According to course coordinators in the
study, in terms of technology, the area of most rapid expansion in teacher education
courses was the proliferation of online teaching modules. Course coordinators’
responses indicated that online teaching and learning was part of preservice teacher
education coursework in 82% of institutions. In contrast however, computer skills’
subjects were compulsory in only 64% of courses and substantial opportunities for
modelling in only 19% of courses. In terms of competencies, responses from
coordinators indicated that only 58% of courses required students to demonstrate
competence in their pedagogical uses of computer technologies. Downes et al. (2001)
acknowledged that while a great deal of progress had been made in recent years in the
preservice preparation of teacher education students, preparation was still failing
because technologies were not yet effectively embedded throughout university
programs.
Immediate Research Context By the time of the second phase of this research, the heightened role of
technologies at the university was clear. Apart from increasingly explicit references to
technology in yearly strategic (QUT, 1997) and Teaching and Learning plans (QUT,
2002), QUT, in 1998, established a specific policy on flexible delivery. Defined as the
use of a “range of strategies and technologies to meet the diverse needs of students
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regarding the location and time of study” flexible delivery was noted to incorporate both
traditional delivery and technological delivery (QUT, 1998, p. 2). Underpinning the
policy was the rationale that the university had to
reposition itself in terms of the changing teaching and learning environment,
develop specific strategies to support flexible delivery and have these
enshrined in our policies and procedures, devote specific resources to this
area at a strategic level and support staff to make significant changes in their
work.
(QUT, Vice Chancellor’s Advisory Committee (VCAC), 1997 p. 3.)
Since its official university-wide introduction in 2000, the Online Teaching
(OLT) system has become a principal strategy in the realisation of flexible teaching and
learning at the university (Goss, 2002). The OLT system was “designed to facilitate
improved and more efficient university operations through the development of
sustainable support systems an strategies essential for contemporary, high quality,
accredited online teaching service delivery to ... students, staff and other stakeholders”
(p. 6). One of the objectives of the OLT system is that it becomes “a student’s best
friend” (p. 10). By 2001, a platform for using OLT was available with every unit offered
at the University. The choice then rested with each unit coordinator as to how, and to
what extent, they would use this universal facility.
At the Education Faculty level at QUT, the 1998-2002 Strategic Plan made two
references to technology (QUT, 1998). One reference, relating to “Objectives stated to
provide a sustainable technological environment for staff and students which is
accessible, flexible and supportive of Faculty and University goals” (p. 3). The other
reference, relating Strategies noted “Enhance the range and quality of learning
environments through the ongoing introduction of open learning, including flexible
delivery; communication technologies and improved field experiences” (p. 3). There
was no reference to technology in the context of preparing teachers to use it in their
future careers.
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SUMMARY AND QUESTIONS ARISING FROM THE
LITERATURE
Findings from the first phase of research and this second review of literature
raised several questions in relation to academic staff and graduate teachers’ perceptions
and use of technologies. These questions are addressed in the second phase of the
research and link to the overall research objectives outlined on p. 9.
Literature, since 1997, indicated that technologies had continued to reshape
academic work and the academic profession (Marginson, 2000). Several studies
suggested that faculty were more knowledgeable about technologies and used them
more frequently in their teaching (Groves & Zemel, 2000). This increased knowledge
and use seemed to have occurred despite the persistence of barriers to technology use,
particularly the lack of evidence of improved learning outcomes, availability of
administrative or technical support, time to learn, and training (Beggs, 2000; Groves &
Zemel, 2000). Recent years had seen an increasing awareness of the importance of
effective technology training with new studies suggesting that training is most effective
when provided by mentors (Cooper, 1999; Haile & Payne, 1999; Matthews et al., 2002;
Vannatta, 2000) who have an understanding of pedagogical issues. At the time of the
second study, literature continued to support the notion that university valuing of
teaching also impacted on faculty use of technology in their teaching (Spotts, 1999).
In relation to academic staff in the second phase of research then, What have
been the greatest impacts in recent years as a result of technologies? (Academic staff
research objective 1). Are academic staff more knowledgeable and confident about
technologies and do they use them more frequently than their 1997 counterparts?
(Academic staff research objective 1). In 2002, what factors continue to influence
technology use? Academic staff research objective 2), and which method of technology
training would academic staff most prefer? (Academic staff research objective 2). Did
academic staff, in 2002, continue to feel that teaching was undervalued at their
university (Academic staff research objective 3).
This review of literature also suggested that teachers’ confidence with and usage
of technologies had increased (Russell et al., 2000; Williams et al., 2000; Zhao et al.,
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2001), although there were growing concerns that technology use was largely limited to
low-level, supplemental tasks such as drill-and-practice activities, word processing,
educational games, and computer-based tutorials (Brush et al., 2001; Russell et al.,
2000; Strudler & Wetzel, 1999; Willis et al., 1999). Literature suggested that barriers
such as time, support, and resources (Dias, 1999; Franklin, et al., 2002; Rice et al., 2001;
Schrum 1999; Strudler et al., 1999; Williams et al., 2000) were influential in technology
use but opportunities for inservice training had increased dramatically (Hasselbring et
al., 2000). New studies were indicating, however, widespread dissatisfaction with
training that tended to focus more word processing and operating systems than
integrating technology across the curriculum (Franklin et al., 2002; McCannon &
Crews, 2000; Williams et al., 2000). Concerning optimum training in technology at the
preservice level, new research advocated approaches based on university and school
partnerships. These partnerships featured a variety of strategies such as “expert” school
teachers modelling technology integration ideas, sharing technology-rich lessons,
demonstrating applications, providing practicum students with hands-on technology use,
and the development of one-on-one mentoring relationships (Dawson & Norris, 2000;
Johnson-Gentile et al., 2000; Vannatta, 2000a; Vannatta & O’Bannon, 2002). Although
these recent initiatives were encouraging, studies continued to indicate that many
teachers were still unprepared to use technology in the classroom (Hasselbring et al.,
2000; Jerald & Orlofsky, 1999, Pope et al., 2002; Wright, 2001). It seemed that, even
when teachers did report feeling well prepared, they rarely attributed their preparation to
preservice teacher education (Pope et al., 2002).
In relation to graduate teachers in the 2002 study then, were they more
knowledgeable and confident of their use of technologies than their 1997 counterparts?
(Graduate teacher research objective 1). How were these technologies used in the
classroom? (Graduate teacher research objective 1). What factors continued to influence
graduate teachers’ use of technology? (Graduate teacher research objective 2). What
opportunities did graduate teachers have for inservice technology training and were they
satisfied with this training? (Graduate teacher research objective 2). Did graduate
teachers and academic staff believe that preservice training in technology use was
adequate? (Graduate teacher research objective 3, Academic staff research objective 4).
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And, how could this training be improved? (Graduate teacher research objective 3,
Academic staff research objective 4).
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CHAPTER 7
PHASE 2 (2002): RESEARCH METHODOLOGY
INTRODUCTION
This chapter outlines the methodology for the second phase of research. It
commences with a description of the research design, then describes the method, the
subjects and procedure. The measures used in this phase of the research are then
detailed, highlighting any changes in instruments between the two phases. Literature
sources to support these changes are also provided. The chapter concludes with a
discussion of the data analysis techniques used.
Research Design As noted earlier, this study has featured a repeated cross-sectional design. It
involved cases that were comparable from the first to the second phase of research and
collected data on items or variables on two occasions with the purpose of comparing
that data over time. To ensure comparability, sampling and administration of the
questionnaires, along with coding categories of data, were replicated. However, the
questionnaire was modified in various ways that took account of the findings in Phase 1
and the emergent issues in the research literature.
Method
Self-administered questionnaires were used to gather the data on academic staff
and graduate teachers' perceptions and usage of computer-based technologies and the
effectiveness of preservice teacher education programs in preparing new teachers to use
computer-based technologies in schools. The data gathered in the research were both
descriptive and explanatory because they established frequency patterns among
variables and identified relationships between variables. While the questionnaires
featured mostly select-response questions, several open-ended questions were also
included.
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Participants
Participants in the second phase study were academic staff members and
graduate teachers from two four-year degree courses in the Faculty of Education at
QUT. As in Phase 1 of the research, academic staff participants in Phase 2 comprised
full-time teaching staff within the Faculty of Education at Queensland University of
Technology who taught in either the Bachelor of Education (Early Childhood) or the
Bachelor of Education (Primary) courses. Graduate teachers in Phase 2 comprised those
who had completed their final year of study in these courses in 2000 or 2001. At the
time of the studies, these graduate teachers, like those in the first phase, had embarked
on their first or second year of teaching.
While the single context of the study no doubt limited the generalisability of
findings to other settings, it was important to maximise homogeneity among participants
in terms of their recent experiences with, and exposure to, technologies. Furthermore,
current literature on technology use confirms that studies conducted in single university
faculties are commonplace (Beggs, 2000; Brush et al., 2001; Dawson & Norris, 2000;
Groves & Zemel, 2000; Haile & Payne, 1999; Kinslow et al., 2002; Matthew et al.,
2002; McRobbie et al., 2000; Pope et al., 2002; Spotts, 1999; Vannatta, 2000;
Whetstone & Car-Chellman, 2001; Willis & Sujo de Montes, 2002; Willis & Tucker,
2001; Yelland et al., 2000).
Procedure
The methods of participant recruitment and questionnaire distribution and return
utilised in Phase 1 were repeated in Phase 2. Staff members were identified via the
computer-based data warehouse system available at the university and questionnaires
were distributed and returned via the internal mailing system. Contact details for
graduate teachers were obtained via the graduate Student Information System. Their
questionnaires were distributed and returned by mail. Graduate teachers were provided
with reply-paid envelopes. To maximise response rates, reminder letters were
distributed to academic staff and graduate teachers two weeks after the initial mail-out.
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Measures
In order to determine differences in responses between 1997 and 2002, most
items in the 2002 questionnaires were replicated from those in the 1997 questionnaires.
It was anticipated that differences in responses between Phase 1 and Phase 2 would
suggest that change may have occurred. However, based on findings from the 1997
studies, some items considered to be of limited value were omitted from the 2002
questionnaires while several new questions were added. These items are discussed in the
following sections. Some changes were also made in light of technological advances
and redundancies since the time of the 1997 phase. For instance, CAI was omitted from
the 2002 questionnaire. This decision was based on findings from the 1997 study
relating to future usage and value to teaching of CAI indicating that this older
technology was all but redundant in the university setting. In addition, the term
Audiographics had been largely superseded by the term Audioconferencing.
Furthermore, videoconferencing technologies were now also available at the university.
To reflect these developments, Audiographics was, therefore, replaced in the 2002
questionnaires by Audio/videoconferencing. In addition, due to its high profile and
university-wide promotion at QUT in recent years, OLT was added to the
questionnaires. The following definitions of these new technologies were provided in
the 2002 questionnaires:
Audio/videoconferencing – refers to the simultaneous use of telephones, video
and computers to link people (for example, groups of students and teachers) at a
distance.
OLT (Online Teaching) refers to the unit-specific lecture notes and resources
available through the university online system.
The 2002 Academic Staff Questionnaire
The 23-item Academic Staff Questionnaire comprised 20 items from the 1997
questionnaire, along with three new items. This questionnaire is presented in Appendix
C. Like the original questionnaire, the Phase 2 questionnaire was divided into the
following sections:
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Section A - Demographics and Computer Ownership
This section of the questionnaire, focusing on demographic information and
computer ownership, remained unchanged. Data from these questions ensured that the
1997 and 2002 groups were comparable.
Section B – Knowledge and Use of Computer-Based Technologies
The second section of the questionnaire featured the same items on knowledge
levels, sources of knowledge acquisition, confidence, frequency of use in teaching and
non-teaching, nature of technology usage, and preferred future use of technologies that
featured in the initial survey. However, two new items were also included. Based on
findings from the Phase One study that pointed to the importance of training, and recent
literature about the relative merits of various technology training programs (Cooper,
1999; Hayle & Payne, 1999; Matthew et al., 2002; Vannatta, 2000), academic staff were
asked about their preferred method of training. Respondents were asked to rank- order
four training methods, Group workshops; Online Tutorials; Faculty Colleague Mentor
Program; and Faculty Technology Coordinator on a 4-point rating scale which was most
(1) and least desirable (4). In addition, based on recent literature highlighting the
immense changes brought about in universities by technologies (Marginson, 2000;
Nunan et al., 2000, Taylor, 2001), an open-ended question asked respondents to
describe the impact of technologies on their work over the last three years.
Section C – Preparing Students for using Computer-Based Technologies
Part three of the questionnaire comprised two items related to preparing student
teachers to use technology. These questions asked about the relative importance of the
technologies to preservice teacher preparation and the adequacy of this preparation. In
addition, respondents were asked in an open-ended question to comment on how this
preparation might be improved.
Section D – Multimedia use in Higher Education
This fourth section comprised three questions from the original questionnaire.
These questions related to barriers and incentives to use technologies and were
considered to still be relevant in light of Phase One study findings and recent research
(Beggs, 2000; Groves & Zemel, 2000: Spotts, 1999).
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Section E – Valuing and Recognition of Teaching in Higher Education
The final items in the questionnaire about valuing of academic activities
remained unchanged from the original questionnaire. These questions asked respondents
to rank-order teaching, research and publishing according to how respondents felt they
were valued in the workplace, and according to how they felt they should be valued in
the workplace. The final question asked respondents to indicate on a 5-point rating scale
the extent to which they agreed or disagreed that greater recognition for teaching would
encourage their use of technology in teaching. The focus of the questionnaire sections
and the recent literature support for the questions in each section are summarised in
Table 7.1.
Table 7.1 Academic Staff Questionnaire Sections and Literature Support Section Focus of sections Literature sources and support for
questions A
Demographics and computer ownership Gender, main teaching area, number of years teaching and rates of computer—ownership
B
Knowledge and use of computer-based technologies Knowledge, confidence, sources of knowledge, training preferences, frequency and examples of use, future use, usefulness to teaching, importance to higher education, changes to work
Groves and Zemel (2000), Beggs (2000), Spotts (1999), Cooper (1999), Haile and Payne (1999), Matthew et al. (2002), Vannatta (2000), Marginson (2000)
C
Preparing students for using technologies Adequacy of preparation and ideas for improving this preparation
Hasslebring et al. (2000), Pope et al. (2002), Wright (2001), Dawson and Norris (2000), Johnson-Gentile et al. (2000), Vannatta (2000a), Vannatta and O’Bannon (2002)
D Multimedia use in higher education Barriers and incentives
Groves and Zemel (2000), Beggs (2000), Mueller et al. (2001). Strudler and Wetzel (1999)
E
Valuing and recognition of teaching in higher education Valuing of teaching, research and publishing, effect of recognition of teaching
Spotts (1999) Weeks (2000)
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2002 Graduate Teacher Questionnaire
The 24-item Graduate Teacher Questionnaire comprised 18 items from the
original questionnaire used in Phase 1 and six new questions. Like the original
questionnaire, the phase two questionnaire was divided into the following sections:
Section A – Demographics and Computer Ownership
This section remained unchanged from the original questionnaire and sought
information on gender, age, teaching specialisation (early childhood or primary), months
of teaching experience, and home computer ownership. Data from these questions
ensured that the 1997 and 2002 groups were comparable.
Section B – Attitudes Towards and Usage of Computer-Based Technologies at Work
Section B of the questionnaire featured the same items addressing knowledge
levels, acquisition of knowledge, confidence, and current and future usage of
technologies that appeared in the first questionnaire. In addition, a question based on
new interest in teachers’ classroom usage of technologies (Brush et al., 2000; Russell et
al., 2000, Strudler & Wetzel, 1999, Willis et al., 1999, Wright, 2000) was included.
Using categories of activities identified in the Australian DETYA study, teachers were
asked to select those that they engaged in during class (Russell, et al., 2000). These
options included; “get information from a CD-ROM”, “send and receive email”, “get
information from the Internet/web”, and “take part in a videoconference”. Three further
questions were based on recent evidence about the increasing availability and nature of
inservice training opportunities in technology use (Downes, et al., 2001; Franklin et al.,
2002; Hasselbring et al., 2000; Rice et al., 2001). These questions asked respondents to
indicate if such training was available at their school, and, if so, to describe this training;
to indicate whether or not such training was satisfactory, and to make further comment;
and to comment on the areas that they would most like to be trained in. A final question,
in this section, based on findings from the 1997 study and current literature, (Dias, 1999;
Franklin, et al., 2002; Rice et al., 2001; Schrumm, 1999; Strudler et al., 1999; Williams
et al., 2000) asked respondents to select from 10 options those that were barriers to their
technology use in teaching. These options included lack of equipment/resources, no
time to learn how to use technology, lack of training options and lack of school/centre
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support. Respondents were also invited to note any additional barriers to their use of
technology.
Section C – Computer-Based Technologies and Preservice Teacher Education
The final section of the questionnaire comprised six items from the original
questionnaire that focused on teachers' retrospective experiences with computer-based
technologies throughout their preservice teacher education. These questions asked about
frequency of use of the technologies, the nature of usage, future usage, the relative
importance of the technologies to preservice teacher education, and the adequacy of
preparation in the use of technologies. A new question, based on recent insights into
successful preservice teacher education initiatives (Dawson & Norris, 2000; Johnson-
Gentile et al., 2000; Matthew et al., 2002; McRobbie, et al., 2000; Pope et al., 2002;
Vannatta, 2000; Vannatta & O’Bannon, 2002; Whetstone & Carr-Chelman, 2001)
invited graduate teachers to comment on how preservice training in technology use
could be improved. The focus of the questionnaire sections and the recent literature
support for the questions in each section are summarised in Table 7.2.
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Table 7.2 Graduate Teacher Questionnaire Sections and Literature Support
Section Focus of questionnaire sections Literature sources and support for questions
A Demographic and computer ownership information Gender, age, training specialisation, number of months teaching, and computer ownership
B Knowledge and use of technologies Knowledge and confidence, sources of knowledge, frequency and nature of technology use, future use, usefulness to teaching, training opportunities barriers to technology use.
Brush et al. (2000), Cole (2000), Dias (1999), Downes et al. (2001), Franklin et al. (2002), Hasslebring et al. (2000), McCannon and Crews (2000) Rice et al. (2001), Russell et al. (2000), Schrumm (1999), Strudler et al. (1999), Strudler and Wetzel (1999), Thompson and Sadera (1999) Williams et al. (2000) Willis et al. (1999), Wright (2001)
C Technology use in preservice and higher education frequency of use, nature of use, future use, importance of individual technologies, importance and types of technology preparation, adequacy of preparation, and ideas for improving this preparation
Dawson and Norris (2000), Johnson-Gentile et al. (2000), Hogaboam-Gray and Hannay (1999), Matthew et al. (2002), McRobbie et al. (2000), Pope et al. (2002), Vannatta (2000),Vannatta and O’Bannon (2002), Whetstone and Carr-Chelman (2001)
Analysis of data
As in Phase 1, prior to data analyses, quantitative data from questionnaires were
screened for accuracy of data entry and missing values. These data were then analysed
using SPSS (Statistical Package for the Social Sciences) for Windows. Descriptive
statistics were again employed to identify themes or patterns among responses such as
knowledge, valuing, confidence, and usage related to the computer-based technologies.
Chi-square analyses were used to identify significant differences in quantitative
responses on the repeated variables across the 1997 and 2002 data sets. Because the
response scales for items throughout the questionnaires were a mix of ordinal,
categorical, interval, and rank-order, the Chi-square procedure was considered most
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appropriate for these analyses. An alpha level of .05 was used as the level for
significance.
In relation to open-ended responses, the process of qualitative analysis used in
Phase 1 was again employed. Based on data “reduction” and “interpretation” (Marshall
& Rossman, 1995, p. 113), this involves systematically reducing responses by searching
for patterns or themes and then interpreting the themes. As described in Chapter 3, the
first stage in this process involved transcribing verbatim responses to each open-ended
questionnaire item. Transcriptions for each question were then read and re-read to obtain
a general sense of the information and to consider its overall meaning (Creswell, 2003).
Data were then coded by organising the various responses into topics or themes. These
themes were then colour-coded and assigned descriptive labels or codes. As themes
emerged during analysis, the data were organised categorically. These categories were
reviewed repeatedly and reduced by grouping topics or themes that related to each other.
Numbers of responses within each category were then tabulated to provide a frequency
statistic.
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CHAPTER 8
PHASE 2 (2002): ACADEMIC STAFF EXPERIENCES
WITH TECHNOLOGY
INTRODUCTION
In this chapter, the experiences and perceptions of academic staff involved in
two preservice teacher education courses in 2002 are reported. The chapter
commences with a summary findings from the 1997 study. It then provides a brief
review of literature that, along with the Phase 1 findings, informed the second phase
of research. Objectives of the study are then outlined, as are the participants,
procedure, and the measures. Findings from the study are presented and compared
with those from the first phase. A discussion of these findings in light of recent
literature concludes the chapter.
Background to Phase 2 The purpose of this investigation was to explore, at a second interval, the
perceptions of academic staff involved in two preservice teacher education courses
as they related to the use of technologies and to identify any changes in these
perceptions since the previous phase of research. As discussed in Chapter 4, data
from the 1997 investigation revealed that although academic staff considered
technology preparation to be important for preservice education teachers, they
acknowledged that this preparation was less than satisfactory. They were positive
about the use of and benefits associated with technologies and anticipated making
more use of technologies in the future. However, in 1997, they appeared to lack
confidence in using technologies and made only limited use of them in their
teaching. A number of barriers to the use technology were noted, namely lack of
technical support, equipment, resources, Faculty support and training. Most noted the
lack of available training and claimed to be self-taught. While they valued teaching
over research and publishing, they believed that the university more strongly valued
research.
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Nunan et al. (2000), noted that technology continues to be both a source and
agent of change within university environments where reduced government funding,
increased sizes and numbers of classes, larger marking loads and growing
administrative tasks have become the norm. These factors have had considerable
impact on academic staff in recent years. Challenges are also posed by competition
between universities for online students (Taylor, 2001). These changes, noted
Marginson (2000), are reshaping academic work and the academic profession who
must engage more fully in technology use if they are to maintain control of
scholarship and research.
Several studies, since 1997, have suggested that academic staff are, indeed,
changing their perceptions and usage of technologies, despite the existence of
persistent barriers to technology use. There are indications that academic staff are
more aware of the importance of technology in their teaching when the findings of
Spotts and Bowman (1995) and Groves and Zemel (2000) are compared. The same
studies also suggested that in 2000 academic staff were more knowledgeable about
technologies and used technologies more frequently than their 1995 counterparts
(Groves & Zemel, 2000; Spotts & Bowman, 1995).
Work by Spotts and Bowman (1993) shed light on the factors that influenced
academic staff technology use. Follow-up studies indicated that these factors are
more influential than ever, particularly the availability of administrative or technical
support, time to learn, and training (Beggs, 2000; Groves & Zemel, 2000). In terms
of barriers, Beggs (2000) noted that lack of time, equipment and training were the
most salient, while Mueller et al. (2001) found lack of training, followed by lack of
technical support and lack of equipment were the greatest hindrances.
Research findings since 1997 reflected an increasing awareness of the
importance of effective technology training. New insights suggested that training
should be provided by those with an understanding of curriculum integration and be
offered in a variety of formats including group workshops and one-on-one
opportunities (Strudler & Wetzel, 1999). Several studies in the United States
suggested that the most successful programs and those most desired by academic
staff were those that involved individualised training and one-on-one mentoring
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relationships (Cooper, 1999; Haile & Payne, 1999; Matthew et al., 2002; Vannatta,
2000).
In 1997, literature continued to support the notion that university valuing of
teaching also impacted on academic staff use of technology in their teaching.
Academic staff in Spotts and Bowman’s (1999) study commented that their time was
best spent pursuing activities that the university promoted as necessary for promotion
or tenure, namely research and publishing. Weeks (2000) noted that academic staff in
Australia were less likely than their counterparts in the United Kingdom and United
States to be rewarded (in the form of credentials) for attempts to improve their
teaching.
In terms of the immediate context, the university’s push for flexible delivery
since the first phase of this research had seen the widespread development and
implementation by academic staff of online teaching and learning resources.
The purpose of this 2002 investigation was to explore the experiences and
perceptions of academic staff relating to several computer-based technologies and to
changes in these experiences and perceptions since the previous investigation.
In light of the aforementioned context and research findings, specific objectives of
this 2002 investigation were to:
1. Explore the attitudes of academic staff towards, and usage of, computer-
based technologies and compare these with findings from 1997.
2. Identify the factors that encouraged or hindered academic staff usage of
computer-based technologies including multimedia and compare these with
findings from 1997.
3. Determine the perceptions of academic staff concerning preparing students to
use technologies in their teaching and compare these with findings from 1997.
4. Examine perceptions surrounding the personal and university valuing of
teaching and compare these with findings from 1997.
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METHOD
Participants and procedure In 2002, the academic staff questionnaire was distributed to the 95 staff
members involved in teaching in the Bachelor of Education (Primary) and the
Bachelor of Education (Early Childhood) courses in the Faculty of Education at
QUT. Staff member names were obtained via the on-line university data warehouse
system. Questionnaires were distributed and returned via the university internal
mailing system. Reminder letters to complete the questionnaires were sent two weeks
after the initial distribution. In all, 40 completed questionnaires were returned,
representing a return rate of 42%. This return rate was comparable to that of Phase
One of the study. It was also comparable with return rates reported in similar studies
by Beggs (2000), (44%, 156/348), Groves and Zemel, 2000), (49%, 64/135), and
better than that reported by Mueller et al. (2000), in their study (31%, 138/450). The
failure to achieve the minimum 50% return rate as recommended by Babbie (1992),
means that results must be interpreted with caution.
Measurement As discussed in Chapter 7, in order to enable comparability with findings
from the first phase of research, the phase two questionnaire comprised 21 items
from the 1997 survey. Like the 1997 questionnaire, this survey sought the following
information - demographic information; knowledge and use of technologies; use of
technologies in preservice teacher education; multimedia technology use in higher
education; and valuing and recognition of academic activities. The section on
knowledge and use of technologies included the two new items. One question asked
respondents to rank-order types of training in technology integration from most to
least desirable. Another question asked respondents to describe the impact of
computer-based technologies on their work over the last three years. The second
survey also differed from the first in that it excluded any reference to CAI. Where
appropriate, instead it sought information about online teaching (OLT), the
computer-based technology currently used as the Internet interface for teaching of
units at the university. In addition, Audiographics was replaced in the 2002
questionnaire by the term “Audio/Videoconferencing” to reflect the availability, at
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the university, of these new conferencing technologies. For simplicity, however, the
term “Conferencing technologies” is used in discussions comparing 1997 and 2002
findings relating to these technologies. The questionnaire is presented in Appendix
C.
Data Analysis
As in Phase 1, quantitative data from questionnaires were screened for
accuracy of data entry and missing values prior to data analyses. Data were then
analysed using SPSS (Statistical Package for the Social Sciences) for Windows.
Descriptive statistics were again employed to identify themes or patterns among
responses such as knowledge, valuing, confidence, and usage related to the
computer-based technologies.
In this second phase, Chi-square analyses were used to identify significant
differences in quantitative responses on the repeated variables across the 1997 and
2002 data sets. As discussed in Chapter 7, the response scales for items throughout
the questionnaires were a mix of ordinal, categorical, interval, and rank-order scales,
hence the Chi-square correlation procedure was considered an appropriate technique.
An alpha level of .05 was used as the level for significance.
In relation to open-ended responses, the process of qualitative analysis used
in Phase 1 was again employed. As noted, this process was based on the data
“reduction” and “interpretation” outlined by Marshall and Rossman (1995, p. 113)
and involved systematically reducing responses by searching for patterns or themes
and then interpreting, coding and categorising these themes. Numbers of responses
within each category were then tabulated to provide a frequency statistic.
RESULTS
In the reporting of the results in this chapter, many tables presenting
frequencies and percentages on the responses for various questions have been placed
in Appendix E. This was thought to facilitate the reading and understanding of the
survey findings because of the extensive number of questions involved. Instead,
150
tables presented in this chapter tend to be those depicting categorised themes that
have emerged from the responses to open-ended questions. Where significant
differences exist between 1997 and 2002 responses, figures are used to provide a
visual presentation of these differences.
Demographic characteristics of the respondents Of the 40 academic staff who responded to the 2002 questionnaire, 43%
taught in the Bachelor of Education (Early Childhood) and 43% taught in the
Bachelor of Education (Primary) (refer Table 8.1). In addition, 15% of academic
staff reported teaching in both the early childhood and primary courses. The sample
comprised 73% females and 28% males. In 2002 there were no male teachers
involved in the Early Childhood course.
In 2002, 55% of the respondents had taught in higher education for more than
10 years. All but one academic staff member owned a computer at home, and of
those with computers at home, 85% had a CD-ROM and 88% had a modem.
Comparison of 1997 and 2002 participants
Chi square tests revealed that there were no differences between the 1997 and
2002 groups on demographics. There were no significant differences according to
gender, teaching specialisation and experience, and computer ownership between the
1997 and 2002 groups of academic staff. There were, however, increases in 2002 for
ownership of computers with CD-ROMs and modems.
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Table 8.1 Demographic Characteristics of Respondents: 1997 and 2002 ____________________________________________________________________
1997 (n = 43) 2002 (n =40) ____________________________________________________________________ Taught Early Childhood students 40% (17) 43% (17)
Taught Primary students 49% (21) 43% (17)
Female 63% (27) 73% (29)
Male 37% (16) 28% (11)
Taught more than 10 years 61% (26) 55% (22)
Home computer ownership 95% (41) 98% (39)
with CD-ROM 72% (31) 85% (34)
with modem 63% (27) 88% (35)
____________________________________________________________________ Knowledge and use of technologies
Using the response scales employed in the 1997 study, academic staff were
asked about their level of knowledge, the means by which they developed their
knowledge and their level of confidence as well as the frequency and nature of usage
in teaching and non-teaching activities. The 2002 survey also asked academic staff to
rank order items according to the most to least preferred training option. These
options were Group workshops, Online tutorials, Faculty colleague mentor program,
and Faculty technology coordinator.
In 2002, academic staff appeared most knowledgeable about the Internet and
email. Advanced levels of knowledge were reported by 48% of the respondents for
the Internet and 63% of the respondents for email. In contrast, an advanced level of
knowledge for the conferencing technologies was reported by only eight percent.
Frequency statistics in relation to knowledge of the technologies are presented in
Table E.1 (Appendix E).
With the exception of OLT, professional or work-based training had played a
limited role in knowledge acquisition of the technologies Instead, most of the 2002
sample reported that they were either self-taught or received assistance from
colleagues (refer Table E.2 Appendix E).
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In order to ascertain which types of technology training would appeal to
academic staff, they were asked to rank order from most desirable to least desirable,
Group workshops, on-line tutorials, faculty colleague mentor program and faculty
technology co-ordinator. Analysis of responses revealed that the most popular form
of training was a mentor program operating within the Faculty of Education. As
Table 8.2 shows, 45% of respondents ranked this as their preferred method of
learning about technology. A further 23% ranked group workshops as their preferred
training method, while only 15% of respondents preferred online tutorials and a
technology co-ordinator as training options. On line tutorials appeared to be the least
favourite form of training with 43% ranking it 4th in preference.
Table 8.2 Rankings of Preferred Method of Training ____________________________________________________________________ Ranking 1st 2nd 3rd 4th ____________________________________________________________________ Group workshops 23% (9) 25% (10) 28% (11) 10% (4)
Online tutorials 15% (6) 8% (3) 13% (5) 43% (17)
Faculty colleague mentor
program 45% (18) 25% (10) 13% (5) 3% (1)
Faculty technology
coordinator 15% (6) 20% (8) 23% (9) 20% (8)
____________________________________________________________________
Despite the reported lack of opportunities for professional or work-based
training, the majority of academic staff expressed confidence in using the
technologies in their teaching. Frequencies presented in Table E.4 (Appendix E)
show that more than half of the sample reported that they were confident or very
confident in using all of the technologies except conferencing technologies. In 2002,
they appeared particularly confident in their use of email and OLT.
In 2002, academic staff indicated that with the exception of multimedia and
conferencing technologies, the technologies were used at least weekly in teaching
(refer Table E.5 Appendix E). Multimedia, on the other hand, was used on a daily or
weekly basis by only one-quarter (25%) of respondents, while conferencing
technologies were used regularly by only one respondent. In relation to non-teaching
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uses of technologies, 90% and 98% of respondents reported daily or weekly use of
the Internet and email (refer Table E.6 Appendix E). Considerably fewer respondents
(28%) made daily or weekly use of multimedia with another one-quarter (25%) of
the sample noting that they never used this technology. Not surprisingly, 50% of
respondents also made no use of conferencing technologies in their non-teaching
activities.
There were 32 responses to an open-ended question about how the
technologies were used. Four broad categories of usage were identified from the
responses. Apart from many references to OLT for unit delivery, the largest category
comprising 66% (21) of responses was email communication. Responses in this
category encompassed those that referred to the use of email to contact students and
colleagues. Research/locating information (predominantly via the Internet) was the
second largest reported use of technologies with 38% (12) of responses. A further
25% (8) of responses mentioned using conferencing technologies or video
conferencing for teaching external students or other ‘professional purposes’.
Another 9% (3) responses noted the use of technologies for modelling or
demonstrating to students.
Comparison between 1997 and 2002
Frequency statistics suggested that academic staff in 2002 were more
knowledgeable, more confident and used technologies more frequently than their
1997 counterparts. Chi-square tests revealed that many of these differences were
significant, although only one of these differences related to knowledge of the
technologies. This difference related to the conferencing technologies and confirmed
that there had been significant knowledge gains since 1997, χ2 (2, n = 83) = 9.94, p =
.019. Differences between 1997 and 2002 data are presented graphically in Figure
8.1.
154
advancedintermediatenovicenot literate
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 8.1 Knowledge Levels for Conferencing Technologies: 1997 and 2002
In relation to confidence in using the Internet, χ2 (2, n = 82) = 19.95, p =
.000, significantly more 2002 respondents reported being confident, and significantly
fewer reported being not, or not at all, confident. Likewise with email, χ2 (2, n = 82)
= 9.80, p = .020, significantly fewer respondents in 1997 than in 2002 reported
feeling not confident about using this technology in their teaching. These differences
are presented graphically in Figures 8.2 and 8.3.
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very confidentconfident
not confidentnot at all confident
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 8.2 Confidence Levels for the Internet: 1997 and 2002
very confidentconfident
not confidentnot at all confident
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 8.3 Confidence Levels for Email: 1997 and 2002 Significant differences were also found for the role that work-based training
played in the acquisition of knowledge of the Internet and email. According to Chi-
156
square analyses, work-based training for knowledge of the Internet, χ2 (2, n = 83) =
3.83, p = .050, and email χ2 (2, n = 83) = 6.20, p = .013, differed between 1997 and
2002 indicating that this form of training played less of a role in 2002 than it had in
1997. In contrast there were significant increases in the numbers of academic staff
reporting to be self-taught in the Internet χ2 (2, n = 83) = 11.22, p = .001 and email
χ2 (2, n = 83) = 6.22, p = .013. These differences are presented graphically in Figures
8.4, 8.5, 8.6, and 8.7.
yesno
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 8.4 Knowledge Development of Internet from Work-Based Training: 1997 and 2002
157
yesno
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 8.5 Knowledge Development of Email from Work-Based Training: 1997 and 2002
yesno
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 8.6 Knowledge Development of Internet from Being Self-Taught: 1997 and 2002
158
yesno
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 8.7 Knowledge Development of Email from Being Self-Taught: 1997 and 2002
Differences between the 1997 and 2002 groups were also apparent for the
frequency of use of technologies in teaching (refer Figures 8.8, 8.9, 8.10, and 8.11).
Chi-square analyses indicated, that for both multimedia and conferencing
technologies, χ2 (2, n = 80) = 13.65, p = .018, the 2002 group were less likely to
report no use of the technologies, but more likely to report using the technologies
once per semester. In relation to the Internet, χ2 (2, n = 81) = 23.91, p = .000) and
email, χ2 (2, n = 80) = 13.65, p = .018), the 2002 group, compared to the 1997 group
were significantly less likely to report never using the technologies and significantly
more likely to report using the technologies on a daily-basis. In relation to use for
non-teaching, the only apparent significant increase was use of the conferencing
technologies in 2002 χ2 (2, n = 81) = 23.91, p = .000.
159
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 8.8 Frequency of Use of Multimedia in Teaching: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 8.9 Frequency of Use of Conferencing Technologies in Teaching: 1997 and
2002
160
dailyw eekly
monthlyonce a semester
never
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 8.10 Frequency of Use of the Internet in Teaching: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 8.11 Frequency of Use of Email in Teaching: 1997 and 2002
161
The role of technologies in higher education The 2002 survey asked academic staff about their preferred future technology
use and the impact that the technologies have had on their work over the last three
years. In terms of preferred use, a majority (55% and 53%) of academic staff would
like to increase their use of multimedia and OLT only. In relation to email and the
Internet, however, most (73% and 60%) academic staff favoured no change in usage
levels, while 10% also favoured less use of email. These results are presented in
Table E.10 (Appendix E). Despite their lack of confidence in using conferencing
technologies, 45% of respondents indicated that they favoured increased use of this
technology. A further 45%, however, indicated that they did not wish to change their
current level of usage.
An open-ended question in the 2002 questionnaire asked about the impact of
the technologies on work over the last three years. The question elicited 34 responses
from which five broad categories emerged. Many respondents provided multiple
comments. With 47% (16) of comments, the largest category comprised responses
relating to increased workload or time commitment. Many noted Email as the
primary source of this additional work. For instance, one respondent explained Email
is a tyrant, not a tool…it has generated a huge amount of extra work. On a more
positive note, 44% (15) of respondents commented that the technologies had
improved their communication with students (particularly off-campus students) and
colleagues, while 34% (11) felt that technologies had improved or added variety to
their teaching. As one respondent noted OLT has sharpened my presentation of
course material. According to 27% (9) of responses, computer-based technologies
had also improved or made more efficient their ability to access resources or
information although a further 9% (3) felt that this had made students lazy, passive or
demanding.
Comparison between 1997 and 2002
Significant changes between the 1997 and 2002 groups were apparent for
preferred change in use of two of the technologies. Chi square analyses revealed that
for both the Internet, χ2 (2, n = 79) = 12.57, p = .002, and email, χ2 (2, n = 79) =
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22.12, p = .000, the 2002 group, compared to the 1997 group, were more likely to
prefer no change in use or less use of these two technologies. These results are
presented graphically in Figures 8.12 and 8.13.
more useno changeless use
Perc
ent
80
60
40
20
0
group
1997
2002
Figure 8.12 Preferred Future Usage of Internet in Work: 1997 and 2002
more useno changeless use
Perc
ent
80
60
40
20
0
group
1997
2002
Figure 8.13 Preferred Future Usage of Email in Work: 1997 and 2002
163
The role of technologies in preservice teacher education To determine any changes in perceptions since 1997, respondents in 2002
were again asked to rank the relative importance of the individual technologies to
preservice teacher education and to rate the adequacy of such preparation.
Respondents in 2002 were also invited to suggest ways in which preparation in
technology use could be improved.
In relation to which technologies were considered most and least important to
teacher preparation, responses were reasonably consistent (Table E 11, Appendix E).
More than half (53%) the group ranked the Internet as the most important technology
to preservice teacher education, while a further 28% and 23% of respondents ranked
email and multimedia as the most important technologies to preservice teacher
education. In contrast, 60% nominated conferencing technologies as the least
important of the technologies.
In terms of adequacy of this preparation, Table 8.3 shows that 60% of the
2002 sample believed that students were adequately prepared, 13% believed that
students were well prepared and a further 3% considered students to be very well
prepared. In contrast, only 15% of respondents considered students to be not very
well, or, not, prepared.
Table 8.3 Adequacy of Preparation in Technology Use: 1997 and 2002 ____________________________________________________________________ Level of preparation 1997 (n =38) 2002 (n = 36) ____________________________________________________________________ Not prepared 16% (7) 3% (1)
Not very well prepared 42% (18) 13% (5)
Adequately prepared 21% (9) 60% (24)
Well Prepared 9% (4) 13% (5)
Very well prepared 0% (0) 3% (1)
____________________________________________________________________
When asked how preservice preparation in technology use could be
improved, 55% (22) of respondents offered suggestions. From these responses, six
broad categories emerged. As can be seen in Table 8.4, the largest single category
comprising 46% of responses was Increased technology-specific units, while the
164
second most frequently cited suggestions were Incorporating technological literacy
into assessment and Learning how to critically evaluate software (18%). Further
suggestions were Improving access to computers /resources, (14%), Modelling/
demonstrating technologies, (9%) and Exposure to technology on practicum (9%).
Additional, one-off responses included Training of faculty; More staff; and
developing Skills in coping with whatever they might find in the classroom.
Table 8.4 Suggested Improvements to Technology Preparation ____________________________________________________________________ Suggested improvements (n = 22)
____________________________________________________________________
Increased technology-specific units 45% (10)
Incorporating technological literacy into assessment 18% (4)
Learning how to critically evaluate software 18% (4)
Improving access to computers/resources 14% (3)
Modelling/demonstrating technologies 9% (2)
Exposure to technology on practicum 9% (2)
____________________________________________________________________
Comparison between 1997 and 2002
Chi-square analysis of 1997 and 2002 responses to the question about
adequacy of preparation revealed a significant difference, χ2 (2, n = 74) = 19.73, p =
.001. Compared with the 1997 group, academic staff members in 2002 were
significantly more likely to report that preparation in the use of technologies was
adequate (refer Figure 8.14).
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very w ell preparedw ell prepared
adequately preparednot v w ell prepared
not prepared
Perc
ent
80
70
60
50
40
30
20
10
0
group
1997
2002
Figure 8.14 Adequacy of Preservice Teacher Education in Technology Use: 1997 and 2002 Multimedia use in higher education
As in the 1997 questionnaire, respondents were asked to consider eleven
items in terms of the degree to which they were perceived as incentives or barriers to
multimedia use. As Table 8.5 indicates, all but two items, comfort with technology
and contribution to promotion/tenure were nominated by a majority of respondents
as being significant incentives to multimedia use. Comfort with technology was
nevertheless rated as a moderate or significant incentive by 88% of respondents,
while contribution to promotion/tenure was indicated as a moderate or significant
barrier to multimedia use for more than half (53%) of the respondents. Evidence of
improved student interest and available technical advice or support appeared to be
the most salient.
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Table 8.5 Incentives to Using Multimedia in Teaching (n = 40) _________________________________________________________________________________
No Moderate Significant Item Incentive Incentive Incentive ____________________________________________________________________
Available equipment /resources 18% (7) 23% (9) 55% (22)
Evidence of improved student
learning 5% (2) 23% (9) 70% (28)
Evidence of improved student
interest 8% (3) 30% (12) 60% (24)
Easy to integrate into subject 3% (1) 28% (11) 68% (27)
Available quality materials 5% (2) 25% (10) 68% (27)
Available training 10% (4) 35% (14) 53% (21)
Time out to learn about technology 5% (2) 25% (10) 67% (27)
Available technical advice /support 3% (1) 25% (10) 70% (28)
Support from faculty 5% (2) 43% (17) 50% (20)
Comfort with technology 5% (2) 45% (18) 43% (17)
Contribution to promotion/tenure 45% (18) 28% (11) 25% (10)
____________________________________________________________________
When asked to identify additional incentives to using technology in teaching,
six responses were given. These one-off responses were:
Incorporation of skills in assessment tasks
Incentives could be improved to ensure a uniform level of competency of all staff to
use technology in their teaching.
Acknowledgement of extra effort by university
Still promote interactional processes as well as technologies
Models of how others have successfully integrated technology into their teaching.
Regular staff updates of new acquisitions.
Respondents were also asked to rate the degree to which 11 factors outlined
in Table 8.6 acted as barriers to technology use in teaching. As the table shows, with
the exception of contribution to promotion/tenure, all of the items were nominated as
being moderate or significant barriers to multimedia use by a majority of 2002
167
respondents. However, the barrier most often nominated as significant in 2002 was
lack of equipment/resources. Three-quarters (75%) of academic staff regarded this as
a significant barrier to their use of multimedia. Other barriers considered by more
than half of the respondents to be significant were lack of quality materials (68%),
lack of technical advice and support (58%), lack of time (55%), lack of faculty
support (53%) and no evidence of improved student learning (53%). Lack of
contribution to promotion appeared to be the least influential to multimedia use with
more than half (58%) indicating that it was not a barrier.
Table 8.6 Barriers to Using Multimedia in Teaching (n = 40) _________________________________________________________________________________
Not a Moderate Significant Item Barrier Barrier Barrier __________________________________________________________________ Lack of equipment/resources 3% (1) 23% (9) 75% (30)
No evidence improved student
learning 15% (6) 30% (12) 53% (21)
No evidence improved student
interest 17% (7) 43% (17) 40% (16)
Difficult to integrate into subject 8% (3) 45% (18) 45% (18)
Lack of quality materials 8% (3) 20% (8) 68% (27)
Lack of training options 3% (1) 45% (18) 45% (18)
Lack of time 5% (2) 40% (16) 55% (22)
Lack of technical advice /support 5% (2) 35% (14) 58% (23)
Lack of faculty support 8% (3) 38% (15) 53% (21)
Discomfort using technology 30% (12) 38% (15) 30% (12)
Doesn’t contribute to promotion/
tenure 58% (23) 33% (13) 8% (3)
___________________________________________________________________
When asked to identify additional barriers to multimedia use, 11 responses
were provided. Three respondents indicated that there were insufficient funds or
resources to facilitate technology integration for students. Two respondents noted
that unreliable technology was a barrier, two suggested that their already high
workloads impeded technology use, and two focused on pedagogical issues. For
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instance, one respondent commented that a focus on technology was not resulting in
due attention to the pedagogy. A final suggestion made by one respondent was that
costs to students could be a barrier.
Comparison between 1997 and 2002
Comparison of 1997 and 2002 data revealed two significant differences.
These differences related to the barriers, lack of evidence of improved learning, and
difficulty integrating into teaching. Chi square tests revealed that the 2002 group
were significantly more likely to note that lack of evidence of improved learning was
a barrier, χ2 (2, n = 79) = 9.66, p = .008. This difference is presented graphically in
Figure 8.15. Similarly, chi square tests indicated that, in 2002, significantly more
academic staff felt that difficulty integrating into teaching was a barrier, χ2 (2, n =
81) = 9.30, p = .010. This difference is presented graphically in Figure 8.16.
signif icant barriermoderate barriernot a barrier
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 8.15 Extent of Barrier – Lack of Evidence of Improved Learning: 1997 and 2002
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signif icant barriermoderate barriernot a barrier
Perc
ent
50
40
30
20
10
0
group
1997
2002
Figure 8.16 Extent of Barrier – Difficulty Integrating into Teaching: 1997 and 2002 Valuing of teaching
Academic staff were again asked to rank-order three activities, teaching,
research and publishing, according to how each was valued personally and how the
respondents felt each was valued by their university. Some respondents gave the
same ranking to two or three activities. As Table 8.7 indicates, academic staff
valuing of the activities and their perceptions of university valuing were at odds.
While 80% of academic staff indicated that they valued teaching most highly,
followed by research and then publishing, only 20% felt that teaching was valued
higher than research and publishing by the University.
When asked whether greater recognition for teaching would encourage their
use of technology in teaching, Table 8.8 shows that more (40%) agreed or strongly
agreed than disagreed or strongly disagreed (28%). However almost one-third (33%)
of respondents were undecided.
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Table 8.7 Personal Valuing and University Valuing of Teaching, Research and Publishing (Rankings of 1): 1997 and 2002 ____________________________________________________________________ Personal Valuing University Valuing
1997 2002 1997 2002 ____________________________________________________________________
Teaching 86% (37) 80% (32) 12% (5) 20% (8)
Research 28 % (12) 50% (20) 37% (16) 45% (18)
Publishing 12% (5) 23% (9) 54% (23) 38% (17)
____________________________________________________________________ Table 8.8 Influence of Greater Recognition on Technology Use: 1997 and 2002 ___________________________________________________________________
Strongly Disagree Neutral Agree Strongly disagree agree
____________________________________________________________________ 1997 (n = 42) 2% (1) 16% (7) 30% (13) 19% (8) 30% (13)
2002 (n = 40) 8% (3) 20% (8) 33% (13) 28% (11) 13% (5)
____________________________________________________________________
Comparison between 1997 and 2002
In relation to valuing of academic activities, one significant difference
between the 1997 and 2002 groups emerged. A Chi square test revealed that in 2002,
significantly more respondents valued research first and significantly less valued
research last, χ2 (2, n = 81) = 6.32, p = .042. This difference is presented graphically
in Figure 8.17. There were no significant differences between 1997 and 2002
responses for recognition of technology use.
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value 3rd mostvalue 2nd mostvalue most
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 8.17 Ranking of Personal Valuing of Research: 1997 and 2002
DISCUSSION
Comparison of findings from the 1997 and 2002 surveys indicated significant
changes had occurred across the period. Although multimedia had been touted in the
mid 1990s as the most likely technology to transform higher education, increasingly,
the Internet and its associated online applications had become the focus of attention.
As noted by Marginson (2001) and Taylor (2001), academic work and the academic
profession were being reshaped by the challenges posed by competition for online
students. This was certainly the case at the university, where the policy on flexible
delivery had seen that all available units were now offered in online teaching (OLT)
format. By their own admission, academic staff in the 2002 study had been
confronted by profound changes in recent years, most of which stemmed from
initiatives in online teaching and learning. According to academic staff the
associated impact of these initiatives was, overwhelmingly, substantial increases in
workload and time commitment.
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Not all the changes were regarded as negative however. Numerous academic
staff acknowledged that the changes made possible by technologies in the last few
years had heightened communication with students and colleagues, enhanced or
added variety to their teaching or improved or made more efficient their ability to
access information or resources.
Comparison of 1997 and 2002 data revealed numerous differences between
the groups. Somewhat surprising, however, was that despite slight increases in home
ownership of computers equipped with CD-ROMs and Modems coupled with
experience gained through developing online teaching and learning resources, the
increases in knowledge of most of the technologies since 1997 were only marginal.
Nevertheless, reports from academic staff in the current study suggested that they
were more knowledgeable about the technologies compared to those in Groves and
Zemel’s (2001) study. In that study, the number of academic staff reporting good to
expert knowledge of multimedia, the Internet and computer conferencing was only
half that of academic staff reports of intermediate to advanced knowledge in the
current study. It is noteworthy that academic staff in both these studies appeared
substantially more knowledgeable about the technologies compared with those in
Spotts and Bowman’s (1995) study.
Confidence, on the other hand, had clearly increased since 1997, with more
2002 respondents reporting that they were confident or very confident in the use of
technologies and less reporting that they were not at all confident. In relation to the
Internet and email these differences were significant. Somewhat perplexing,
however, were significantly increased confidence levels, along with marginal
increases in knowledge levels for the Internet and email, but significantly decreased
reports in 2002 of knowledge acquisition of these technologies through work-based
training. As noted earlier in the literature, work-based training plays a significant
role in equipping academic staff with the skills to use technology in their teaching,
yet reports from 2002 respondents indicated that there was an increased reliance on
self-training in the use of the Internet and email. Puzzling too, were reports
indicating increased knowledge of multimedia through work-based training in 2002,
yet only marginal increases in confidence levels.
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There also appeared to be increased usage in 2002 for all of the technologies.
In relation to use for teaching, increases were particularly notable for Email and the
Internet but less notable for multimedia. Usage rates in the current study also tended
to be higher than those reported by academic staff in Groves and Zemel’s (2000)
study. Although no academic staff in either study made daily use of conferencing
technologies, academic staff in the current study were marginally more likely to
make daily or weekly use of the Internet and more than twice as likely to make daily
or weekly use of multimedia and email. Again, academic staff in both these studies
made considerably more use of the technologies compared with those in Spotts and
Bowman’s (1995) study five years earlier. This increased technology use in 2002
undoubtedly contributed to greater confidence levels among academic staff.
The most striking difference between the 1997 and 2002 groups in terms of
how they used the technologies related to tasks associated with the provision of
online teaching and learning. Many noted that in preparing their units for OLT
delivery they also established online discussion forums, developed online exercises
and linked their units to interactive multimedia learning activities and reference sites.
As such, OLT could be seen as the catalyst for the development of a range of related
technology skills.
Unlike their 1997 counterparts, considerably fewer academic staff in the 2002
group preferred to see an increase in their usage of the technologies, particularly
usage of the Internet and email. In relation to these technologies, a majority of
academic staff in 2002 instead preferred that there be no change in usage levels and
several preferred to use the technologies less. Given academic staff comments about
the demands associated with managing vast quantities of email, it was not surprising
that academic staff did not wish to see further increases in its use. As one academic
staff member noted, email had become a “tyrant, not a tool”. There was also a
perception among some academic staff members that email had created a climate of
learned helplessness among students who preferred to email academic staff with
queries rather than finding out information for themselves. Interestingly, a majority
of academic staff in 2002 still preferred to increase their usage of multimedia in
teaching. As discussed earlier, academic staff appeared to be less knowledgeable
about and confident in their use of this technology, compared with email and the
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Internet, and used it less frequently in their teaching, yet they were more likely to
have reported gaining knowledge through work-based training. Some insight into
this can be gained from perceptions surrounding barriers to multimedia use.
There was little indication among academic staff in the 2002 group that most
factors considered to be significant barriers to multimedia use in 1997 were any less
salient in 2002. Indeed, frequency statistics suggested that the significance of most of
the barriers had grown, particularly in relation to evidence of improved student
learning and difficulty integrating into subject. There were also some subtle changes
in the strength of the barriers relative to one another. In 1997, lack of time was the
most likely barrier to be nominated as significant, followed by lack of equipment and
resources, lack of quality materials and lack of training options/ technical advice and
support. In 2002, the most frequently cited significant barrier was lack of equipment
and resources, followed by lack of quality materials, lack of technical advice and
support, and then lack of time. This contrasted with findings from Mueller et al.’s
(2001) study in which lack of training remained the primary obstacle to technology
use. In relation to training in the current study, the shift in its importance relative to
other barriers may be linked to reports from academic staff about work-based
training. As noted earlier, significantly more academic staff in 2002 attributed their
knowledge of multimedia to work-based based training. This indicated greater access
to work-based training in multimedia since 1997.
The availability of training, nonetheless, remained an important incentive to
multimedia use for all but a handful of 2002 respondents. When we consider, too,
that lack of training options, difficulty in integrating technologies into teaching and
discomfort using technology persisted as significant barriers to multimedia use in
2002, there are indications that both the availability, nature or effectiveness of
training options at the university are falling short. Research into technology training
indicates that a range of strategies is required but that the single most effective
strategy is individualised support in the form of mentoring (Cooper, 1999; Haile &
Payne, 1999; Matthew et al, 2002; Strudler & Wetzel, 1999). Arguably though, this
mentoring should be provided by those with more than just an understanding of
technology applications, it should be provided by those with an understanding of
pedagogy, (i.e., academic staff colleagues). Support for this type of training was
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clear among academic staff in the 2002 study. When asked to rank four training
options from least to most desirable, academic staff consistently ranked a Faculty
colleague mentor program well above group workshops, online tutorials and Faculty
technology coordinator.
There were few changes between the 1997 and 2002 groups in terms of the
factors that would encourage their use of multimedia, although there was some
variation in the nomination of the incentives relative to one another. In 1997, the
most frequently nominated significant incentives were firstly, increased time,
followed by available technical support, and evidence of improved learning and
interest. In 2002, evidence of improved learning and available technical advice and
support had become the most frequently nominated significant incentives followed
by ease of integration and available quality materials, then available time. This focus
on evidence of improved learning outcomes was also apparent among responses
pertaining to barriers. As noted earlier, significantly more academic staff in 2002
than in 1997 indicated that lack of evidence of improved learning outcomes was a
significant barrier to their use of multimedia. Referring to similar study findings of
his own, Beggs (2000) explained that academic staff needed to know that technology
would have a positive impact on instruction before they would adopt it. In his study,
along with that of Groves and Zemel (2000), academic staff reports indicated that
improved student learning was the single greatest influence on technology use. Other
critical influences reported by academic staff in the study by Groves and Zemel
(2000) were available equipment, improved student interest, training, time, and ease
of use.
Similar to findings by Groves and Zemel (2000), ease of integration was, in
2002, one of the most frequently cited significant incentives to using multimedia.
Likewise, difficulty integrating into subject matter was one of only two barriers to
significantly increase in importance in 2002. Given the higher incidence of reports
of knowledge acquisition through training, this finding was surprising and raises
questions about the effectiveness of such training. It is possible that training has
focused more on teaching about multimedia rather than teaching with multimedia.
Alternatively, difficulty may be less indicative of lack of skill in integrating
technology into a subject and more indicative of lack of compatibility with beliefs
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surrounding the teaching of a particular subject, referred to by Strudler and Wetzel
(1999) as lack of “pedagogical fit”. As explained by Strudler and Wetzel (1999),
academics must see the fit between their philosophies of teaching and learning and
technology applications. Rather than use technology for technology’s sake, Strudler
and Wetzel (1999) noted that academics in their study used technology when it they
believed that it would enhance their instructional styles and practices.
Responses in 2002 indicated that support from the Faculty continues to be
highly influential in technology use. Since 1997, there was an increased number of
academic staff claiming that a lack of Faculty-level support was a barrier to
technology use. Not unexpectedly, then, the availability of faculty support continued
to be a potent incentive to technology use. Faculty and administrative support was an
important influence on technology use for academic staff in Groves and Zemel’s
(2000) study and, in Strudler and Wetzel’s (1999) study, was also found to underpin
successful technology integration. As noted previously, Strudler and Wetzel’s (1999)
investigation of preservice institutions rated as exemplary in their ability to prepare
graduates to teach with technology found that common to each institution was the
informed and committed leadership of deans, administrative support and faculty
leaders who had vision and goals related to technology integration. Strudler and
Wetzel (1999) explained that this faculty level support ensured that a complex web
of enabling factors were in place to support technology integration, factors including
ongoing training, technical assistance, availability of equipment and resources and
time out for training. Also in place at the colleges, were “active college-level
technology committees” comprising teacher educators, instructional technology
educators, students, and support personnel whose task involved prioritising
technology needs, sharing practices and making recommendations to the dean.
Despite the importance of faculty support, the recent study of Australian teacher
education institutions by Downes et al. (2001), revealed that many institutions still
did not have in place strategic plans and resource allocations relating to the use of
technologies in teacher education programs.
Although questions about pressure to use technologies were not included the
second academic staff survey, the debate around this issue remains worthy of
discussion. As noted earlier, academic staff reported in 1997 that they made little or
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no regular use of technologies, and, for the most part, there was little or no pressure
from the university to adopt technologies. While pressure to change has been linked
to the undermining of academic staff decision-making and the cause of resistance
(Bailey & Palsha, 1992; Sikes, 1992), writers such as Strudler and Wetzel (1999)
maintain that some pressure is necessary for technology integration to occur. They
note that pressure, in the form of implicit and explicit expectations to adopt
technology, fosters a sense of accountability. The challenge for the Faculty, however,
is ensure that pressure is underscored by adequate support. If we accept Strudler and
Wetzel’s (1999) proposal, then, it is possible that the recent gains in technology by
academic staff are, indeed, resultant of implicit and explicit pressures. At the
university, this pressure appears to have been both implicit, in the form of policy
documents, however, it has also been explicit, in the form of rewards and incentives
in recognition of excellence in teaching, the financing of technology-based teaching
and learning projects, and pressure to achieve targets associated with online unit
delivery.
As noted in the literature, perceived valuing of teaching has been implicated
in the adoption of technologies by academic staff. Although reliable inferences could
not be drawn from the data because of the numbers of academic staff in the 2002
group who rated two or more activities as being of equal value, there did appear to be
differences between the 1997 and 2002 groups. In 1997, personal valuing of
teaching clearly outweighed valuing of research and publishing. At the time, this was
in marked contrast to what academic staff perceived was the university’s valuing of
publishing and research over teaching – according to Hesketh et al (1996) and
others, a situation all too common in institutions of higher education. In 2002,
teaching still remained the most personally valued activity, however, there was a
significant increase in the numbers of academic staff indicating that they valued
research, in particular, or publishing, to a lesser extent, equally or more highly than
teaching. There also appeared to be a perception among academics that publishing
was not as highly valued by the university in 2002 as it was in 1997, whereas the
value of teaching and research had increased. By way of explanation, it is possible
that personal valuing of teaching may have decreased in recent years due to factors
outlined by Nunan et al. (2000) namely increased class sizes and numbers of classes,
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larger marking loads and more administrative responsibilities in each course. In the
absence of commensurate increases in recognition by the university of the extra
effort required by academic staff, it is probable that some feel disillusioned with the
teaching process. On the other hand, the tangible rewards and recognition associated
with research project grants, along with the potential for time out from teaching to
conduct research may have contributed to the increased personal valuing of research.
It is possible too, that technology itself has made teaching less rewarding, and
therefore of less personal value to academic staff.
There were also dramatic changes between 1997 and 2002 in the views of
academic staff relating to the adequacy of preservice teacher education to prepare
graduates to use technology. Those rating technology preparation as adequate or
better in 2002 had more than doubled since 1997. What had not changed, however,
was the consistent and arguably perceptive view that the Internet was the most
important technology to this preparation.
Contrary to research linking improved technology preparation among
preservice teacher education students to more co-ordinated school-university
approaches and enhanced practicum experiences (Brush et al., 2001; Dawson &
Norris, 2000; Johnson et al., 2000; Strudler et al., 1999; Vannatta, 2000; Vannatta &
O’Bannon, 2002), academic staff suggestions for improved technology preparation
centred on the provision of technology units and technology skill evaluation at the
university. This perception is interesting in light of 1997 reports overwhelmingly
indicating that preparation should be a joint university-school responsibility. There
was little mention among the 2002 respondents, however, of practicum experiences
or coordination or partnerships with schools. Downes et al. (2000) noted that such
initiatives were rare in Australia, where the provision of discrete technology units
was indeed the norm. Interestingly too, there was no mention of providing training in
the skills articulated in Education Queensland’s Minimum Standards for Teachers –
Learning Technology initiative. Undoubtedly, academic staff are aware of the
potential advantages associated with successful university-school collaborations.
However, perhaps because of the perceived improvement in recent years of
preservice teacher preparation, academic staff cannot justify the enormous
commitment that would be required to establish and sustain such partnerships.
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CHAPTER 9
PHASE 2 (2002): GRADUATE TEACHERS’
EXPERIENCES WITH TECHNOLOGY
INTRODUCTION
In this chapter, the experiences and perceptions of graduate teachers in the 2002
study are reported. The chapter commences with findings from the prior phase of
research and a brief review of the literature that, together, influenced this study.
Following, the objectives for this study are outlined, and the participants, procedure and
measure described. The chapter then presents the findings from the 2002 study and
compares these with findings from the 1997 study. These findings are discussed in light
of recent literature.
Background to Phase 2
As noted in Chapter 5, data from the 1997 investigation indicated that many
graduate teachers lacked knowledge of most of the technologies and were not confident
in their use. They tended to make only infrequent use of the technologies in their
teaching and cited barriers such as lack of equipment and resources and lack of training
or knowledge as reasons for non-use of technologies. Nevertheless, graduate teachers
anticipated that their use of technologies would increase and believed they offered
numerous advantages to teaching. Reports from these teachers indicated that they and
academic staff made little use of the technologies at university. Although, like academic
staff, they considered preservice preparation in the use of technologies to be important,
they rated this preparation as inadequate. Despite most graduates reporting to have
studied at least one unit in technology whilst at university, they rarely acknowledged
this education as a source of technology knowledge acquisition. Instead, most reported
that they were self-taught.
The review of the recent research since 1997 suggested that, in relation to
technologies, teachers’ confidence and usage appeared to have increased in recent years
(Russell et al., 2000; Williams et al, 2000; Zhao et al., 2001). Despite this, or perhaps
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because of it, concerns now tended to focus on the ways in which teachers were using
technologies in the classroom. This change in focus stemmed from research findings
indicating that teachers were using computers for low-level, supplemental tasks such as
drill-and-practice activities, word processing, educational games, and computer-based
tutorials (Brush et al., 2001; Strudler & Wetzel, 1999; Willis et al., 1999). In contrast, it
appeared that few teachers used technologies as an integral part of their teaching
(Williams et al., 2000; Wright, 2001). A large scale study in Australia revealed that
many teachers did not possess advanced technological skills and made little or no use of
technologies for communicating with others (such as communicating with schools in
other countries, participating in an email or Internet Relay chat or desktop
videoconference) (Russell et al., 2000).
A variety of studies revealed that teachers were strong supporters of technology
use (Russell et al., 2000; Williams et al., 2000; Zhao et al., 2001) but that their use of
technologies continued to be impeded by a variety of factors including lack of time,
support, resources and training (Dias, 1999; Franklin, et al., 2002; Rice et al., 2001;
Schrum 1999; Strudler et al., 1999; Williams et al., 2000). Whereas literature prior to
1997 pointed to a lack of training, there was evidence that both the variety and
availability of training opportunities had increased dramatically in recent years
(Hasselbring, et al., 2000). As a consequence, attention had shifted from the availability
of opportunities to the nature and associated shortcomings of such opportunities. What
was emerging from the research was a plethora of training programs on word processing
and operating systems and, not surprisingly, widespread dissatisfaction among teachers
(Franklin, et al., 2002; McCannon & Crews, 2000; Williams et al., 2000).
While inservice training opportunities have grown dramatically, for many,
preservice teacher education remains the defining influence in teachers’ adoption of
technology. Some studies of preservice training have continued to endorse the benefits
of technology-specific units (McRobbie, et al., 2000; Whetstone & Carr-Chelman,
2001) and faculty modelling of technology use in classes (Matthew et al., 2002; Pope et
al., 2002). However, increasingly, research has provided support for university and
school partnerships in facilitating students’ exposure to and skills in technology use.
These partnerships, featuring a variety of strategies such as “expert” school teachers
modelling technology integration ideas, sharing technology-rich lessons, demonstrating
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applications, providing practicum students with hands-on technology use, and the
development of one-on-one mentoring relationships, have resulted in significant gains in
technology integration skills and confidence in using technology in the classroom
(Dawson & Norris, 2000; Johnson-Gentile et al., 2000; Vannatta, 2000; Vannatta &
O’Bannon, 2002).
Although these recent initiatives are encouraging, studies as late as 2002
indicated that many teachers were still unprepared to use technology in the classroom
(Hasselbring et al., 2000; Jerald & Orlofsky, 1999, Pope et al., 2002; Wright, 2001). As
already noted, even when teachers do indicate that they feel well prepared, few attribute
their preparation to preservice teacher education (Pope et al., 2002). Findings such as
these prompted Hasselbring et al. (2000) to conclude that inservice technology training
was still insufficient to produce the kinds of changes that are needed in today’s teachers.
From their extensive international review of research they called for more opportunities
for, and emphasis on, integrating technology across the curriculum.
In terms of the immediate context of this research, the implementation of a
university-wide Online Teaching (OLT) system commenced at the university in 2000. It
therefore would have begun to impact on the experiences of 2000 graduates while they
were in their final (fourth) year of study and on 2001 graduates throughout their third
and fourth years of study. In addition, Education Queensland had, in 2000, introduced
its Minimum Standards in relation to teachers’ technology competencies. It was
expected that these changes may have bearing on teacher experiences and expectations.
The purpose of the investigation was to explore, at a second interval, the
experiences and perceptions of preservice teacher education graduates as they related to
the use of technologies and to compare these experiences and perceptions with those of
the 1997 cohort.
Specific objectives of this 2002 investigation were to:
1. Explore the attitudes of graduate teachers towards, and usage of, computer-
based technologies and compare these with findings from 1997.
2. Identify the factors that influenced graduate teachers’ usage of technologies
in the classroom and compare these with findings from 1997.
3. Determine the perceptions of graduate teachers concerning their preparation
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in the use of technologies and compare these with findings from 1997.
METHOD
Participants and procedure In 2002, the revised graduate teacher questionnaire was distributed to the 618
graduates who completed their Bachelor of Education (Primary) or Bachelor of
Education (Early Childhood) courses in 2000 or 2001. This information was obtained
from the university’s graduate destination records. Again, questionnaires were
distributed and returned via mail. One hundred and thirty-one questionnaires were
returned as undeliverable as these graduates had since changed addresses. Two weeks
after the distribution of questionnaires, reminder letters were mailed to those who had
not yet returned their questionnaire. A total of 123 questionnaires were returned.
Accounting for those questionnaires known to not have been received, this represented a
return rate of 25% which was comparable to that of the 1997 study. Again, however,
this low return rate had implications for the generalisability of the findings.
Measurement As noted in Chapter 7, the 24-item Graduate Teacher Questionnaire comprised
18 items from the 1997 questionnaire so that responses on these items could be
compared across the two phases. In addition, the 2002 questionnaire included several
new items. Like the 1997 questionnaire, the 2002 survey again sought the following
information - demographic information; knowledge and use of technologies for
teaching; use of technologies in preservice teacher education; and multimedia
technology use in higher education. The section, knowledge and use of technologies,
featured new questions about inservice training opportunities and needs, as well as
questions about how the technologies were used, and barriers to their use, in the
classroom. In the section on technology use in preservice teacher education, 2002
respondents were also invited to suggest how preparation in technology use could be
improved. The 2002 survey also differed from the first in that it excluded any reference
to CAI. Furthermore, instead of Audiographics, the new questionnaire sought
information about Audio/video conferencing in order to reflect advances in this type of
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technology. To simplify discussion comparing 1997 and 2002 findings related to these
technologies however, the term Conferencing technologies is used.
Data Analysis As in Phase 1, quantitative data from questionnaires were screened for accuracy
of data entry and missing values prior to data analyses. Data were then analysed using
SPSS (Statistical Package for the Social Sciences) for Windows. Descriptive statistics
were again employed to identify themes or patterns among responses such as
knowledge, valuing, confidence, and usage related to the computer-based technologies.
In this second phase, Chi-square analyses were used to identify significant
differences in quantitative responses on the repeated variables across the 1997 and 2002
data sets. As discussed in Chapter 7, the response scales for items throughout the
questionnaires were a mix of ordinal, categorical, interval, and rank-order scales, hence
the Chi-square correlation procedure was used in these analyses. An alpha level of .05
was used as the level for significance.
The process of qualitative analysis used in Phase 1 was again employed to
analyse open-ended responses to questionnaire items. This process, described in Chapter
3, was based on the data “reduction” and “interpretation” outlined by Marshall and
Rossman (1995, p. 113) and involved systematically reducing responses by searching
for patterns or themes and then interpreting, coding and categorising these themes.
Numbers of responses within each category were then tabulated to provide a frequency
statistic.
RESULTS
In order to assist in reading and understanding the many findings discussed in
this chapter, many tables presenting frequencies and percentages on the responses for
various questions have been placed in Appendix F. Tables presented in this chapter tend
to be confined to those depicting categorised themes that have emerged from the
responses to open-ended questions. Where significant differences were found between
1997 and 2002 responses, figures have been included to present a visual representation
of these differences.
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Demographic characteristics of respondents
The 123 teachers who responded to the 2002 questionnaire comprised 35% (43)
Bachelor of Education (Early Childhood) graduates and 65% (80) Bachelor of
Education (Primary) graduates. As can be seen in Table 9.1, females dominated the
sample accounting for 89%. The mean age of the teachers was 25.6 years (SD = 5.74),
while the mean score for months of teaching experience was 19.2 (SD = 6.42). The 2002
respondents reported high rates of computer-ownership with 85% (105) reporting
owning a computer that had a CD-ROM (79%, 97) and a modem (72%, 88). Ownership
rates across the early childhood and primary graduates were comparable.
Table 9.1 Demographic Characteristics of Respondents: 1997 and 2002 ____________________________________________________________________ 1997 (n=72) 2002 (n = 123) ____________________________________________________________________ Early Childhood graduates 46% (33) 35% (43)
Primary graduates 54% (39) 65% (80)
Female 93% (67) 89% (110)
Male 7% (5) 11% (13)
Age (mean) 24.6 (SD = 3.6) 25.6 (SD=5.7)
Months teaching (mean) 15.0 (SD = 5.8) 19.2 (SD=6.4)
Own Computer 76% (55) 85% (105)
with CD-ROM 47% (34) 79% (97)
with Modem 31% (22) 72% (88)
____________________________________________________________________
Comparison of 1997 and 2002 participants
Table 9.1 shows that apart from the larger sample size in 2002, there were only
two significant differences between the groups according to demographic
characteristics. Chi-square analyses revealed significant differences in both ownership
of a CD-ROM, χ2 (2, n = 159) = 12.79, p = .000, and ownership of a modem, χ2 (2, n =
139) = 18.78, p = .000. In both cases, ownership rates increased between 1997 and
2002.
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Knowledge and use of technologies
Using the response scales adopted in the 1997 study, graduate teachers in 2002
were again questioned about their knowledge of the technologies, how knowledge was
acquired, their level of confidence, and the frequency of usage and anticipated future
usage. They were also asked to select from 13 activities those that were undertaken in
their classroom, to indicate and comment on the availability of inservice training in
technology use and their satisfaction with any training experiences. Finally, an open-
ended question asked respondents to describe their further training requirements.
In terms of knowledge levels, responses indicated that graduate teachers
possessed intermediate to advanced levels of knowledge for all technologies except
Audio/video conferencing. Forty percent possessed no knowledge of this technology.
Reports from graduate teachers indicated that intermediate to advanced levels of
knowledge were greatest for email (91%), the Internet (87%), followed by multimedia
(62%). Frequencies for knowledge of the technologies are presented in Table F.1
(Appendix F).
Graduate teachers appeared to be largely self-taught in their use of the
technologies (refer Table F.2, Appendix F). Almost two-thirds (63%) reported being
self-taught in the use of the Internet and email and more than half (53%) in the use of
multimedia. Unlike in-service training, preservice teacher education also played a
significant role in knowledge acquisition with around one-third attributing their
knowledge of multimedia (29%), the Internet (34%) and email (33%) to their
experiences at university.
In relation to training, 70% (82) of the graduate teachers indicated that
opportunities for inservice training were available to them. Descriptions of such training
included training for “level 1 basic competencies and standards”, “using a data
projector, on line search engines and library catalogues”, “creating online modules”, and
“web pages”. Training appeared to be provided by a variety of personnel including
heads of school, school technology advisors/computer teachers, and staff at specific
training centres.
186
Of the 50% (62) of teachers who indicated that they had participated in such
training, 81% (50) noted that they were satisfied with their training. Of the remaining
twelve teachers who expressed dissatisfaction with training, seven provided reasons for
their dissatisfaction. These explanations included “It was stuff I already learnt at uni”
and “Not valuable as it was back to the very basics”. Two teachers also made reference
to the Minimum Standards set by the state government, noting that the skill levels
dictated in the Minimum Standards were, again, too basic and had already been taught at
university.
In relation to training needs, 79% (97) graduate teachers commented on the
training that they would like to receive. As Table 9.2 shows, the most frequently cited
training requirements related to learning how to use or select multimedia programs and
software (28% of responses) and learning how to conduct audio/video or
teleconferences (27% of responses).
Table 9.2 Perceived Training Needs ____________________________________________________________________ Training needs (n = 97) ____________________________________________________________________ Using/selecting Multimedia programs/software 28% (27)
Audio/video/teleconferencing 27% (26)
Designing/constructing web pages 15% (15)
Using the Internet 14% (14)
Communicating with other schools 10% (10)
Fixing problems/troubleshooting 5% (5)
Using Macs 4% (4)
____________________________________________________________________
Despite the apparent lack of in-service training opportunities for some graduate
teachers, and their varied training requirements, reports nevertheless indicated that most
were highly confident in their use of three of the technologies in classroom teaching.
Analysis of responses presented in Table F.3 (Appendix F) revealed that 89% were
confident or very confident in their use of email, 87% were confident to very confident
about using the Internet and 73% were confident to very confident about using
187
multimedia. However, only 22% expressed the same level of confidence in the use of
conferencing technologies.
Reports from new teachers indicated that multimedia was the most used
technology in the classroom with half (50%) using it on a daily or weekly basis (refer
Table F.4, Appendix F). More than one-third (36%) of the group also reported using the
Internet daily or weekly, while 26% used email this regularly in their teaching. In
contrast, conferencing technologies were rarely used.
In order to determine how technologies were being used in the classroom,
teachers were asked to select from a list of 13 items those activities that they engaged in.
As can be seen in Table 9.3, many of the teachers were using the technologies for a
variety of purposes. Teacher reports suggested that the most frequent use of
technologies involved using an educational program or game to help children learn
(82%), followed by creating pictures (74%), creative writing (72%), getting information
from CD-ROMs (71%) or the Internet (71%).
Table 9.3 Classroom Activities Using Technologies ____________________________________________________________________ Classroom activities (n = 117) ____________________________________________________________________ Use an educational program or game to help children learn 82% (96)
Create pictures 74% (87)
Creative writing 72% (84)
Get information from CD-ROM 71% (83)
Get information from Internet/Web 71% (83)
Use computerised library catalogue 51% (60)
Send receive Email 49% (57)
Make music or sound 22% (26)
Use spreadsheets or databases 21% (25)
Create graphs or diagrams 19% (22)
Communicate with other schools 19% (22)
Take part in an online chat group 5% (6)
Take part in a video conference 2% (2)
____________________________________________________________________
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To determine impediments to technology use, teachers were asked to select from
10 items those that were barriers to their current use of technology in the classroom.
Incidentally, these items were also included in the 1997 and 2002 Academic Staff
questionnaires. According to teacher reports, the primary impediment to technology use
was a lack of equipment or resources in schools (71%) (refer Table 9.4). The second
most selected barrier was lack of technical advice or support in the schools (39%),
followed by lack of quality teaching materials (36%), and no time for learning how to
use the technology (29%).
Table 9.4 Barriers to Classroom Use of Technologies ____________________________________________________________________ Barrier (n = 117) ____________________________________________________________________ Lack of equipment/resources 71% (83)
Lack of technical advice or support 39% (46)
Lack of quality teaching materials 36% (42)
No time to learn how to use the technology 29% (34)
Difficult to integrate into the curriculum 16% (19)
Lack of training options 16% (19)
Lack of school/centre support 13% (51)
Discomfort using technology 9% (11)
No evidence of improved child learning 5% (6)
No evidence of improved child interest 0% (0)
____________________________________________________________________
Twenty-six percent (30) of respondents cited additional barriers that prevented
their use of technologies in the classroom. The most frequently cited of these barriers
concerned difficulties stemming from supervising large groups of children and
managing turn-taking on computers. One of the 40% (12) of teachers who highlighted
this barrier referred to it as an “Organisational nightmare”. Other barriers were
Unreliable equipment (23%), Not enough time in the school day (20%), and Distracting
to other children (7%). Although numerous barriers to technology use existed, when
asked to indicate if they foresaw less use, more use or no change in their usage of the
technologies, graduate teachers were largely optimistic about their future usage. The
majority of the teachers envisaged increasing their use of the Internet (59%) and email
189
(57%) in their teaching. Although a majority (47%) also anticipated using multimedia
more often, almost as many (44%) expected no change to their current usage. These
results are presented in Table F. 7 (Appendix F).
Comparison between 1997 and 2002
Significant differences were found between the groups on a number of variables
relating to knowledge, development of knowledge, confidence, frequency of usage and
anticipated usage of the technologies. In relation to knowledge levels, chi-square
analyses revealed, that compared with the 1997 group, the 2002 group were more
knowledgeable about multimedia, χ2 (2, n = 189) = 10.52, p = .015, the Internet, χ2 (2, n
= 189) = 76.92, p = .000, and email, χ2 (2, n = 189) = 81.52, p = .000. These differences
are presented graphically in Figures 9.1, 9.2 and 9.3. In terms of how knowledge was
developed, graduate teachers in 2002 were significantly more likely than those in 1997
to attribute their knowledge of multimedia, χ2 (2, n = 186) = 18.84, p = .000, the Internet
χ2 (2, n = 188) = 26.97, p = .000, and email χ2 (2, n = 187) = 5.25, p = .022, to their
preservice teacher education. These results are presented in Figures 9.4, 9.5 and 9.6.
advancedintermediatenovicenot literate
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.1 Knowledge Levels for Multimedia: 1997 and 2002
190
advancedintermediatenovicenot literate
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.2 Knowledge Levels for the Internet: 1997 and 2002
advancedintermediatenovicenot literate
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.3 Knowledge Levels for Email: 1997 and 2002
191
yesno
Perc
ent
120
100
80
60
40
20
0
group
1997
2002
Figure 9.4 Multimedia Knowledge Development from Preservice Teacher
Education: 1997 and 2002
yesno
Perc
ent
120
100
80
60
40
20
0
group
1997
2002
Figure 9.5 Internet Knowledge Development from Preservice Teacher Education:
1997 and 2002
192
yesno
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 9.6 Email Knowledge Development from Preservice Teacher Education:
1997 and 2002
Differences were also apparent between the two groups for confidence in using
the technologies (refer Figures 9.7, 9.8 and 9.9). Chi-square analysis confirmed
significantly increased confidence levels among the 2002 teachers for multimedia, χ2 (2,
n = 188) = 9.02, p = .029, the Internet, χ2 (2, n = 186) = 58.77, p = .000, and email χ2 (2,
n = 186) = 74.31, p = .000. Usage in the classroom was also significantly higher among
the 2002 group for the Internet χ2 (2, n = 183) = 24.04, p = .000, and email χ2 (2, n =
183) = 32.54, p = .000, (refer Figures 9.10 and 9.11), while, in relation to future usage,
the 2002 group were significantly less likely to predict an increase in their future usage
of multimedia, χ2 (2, n = 184) = 7.89, p = .019 (refer Figure 9.12).
193
very confidentconfident
not confidentnot at all confident
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.7 Confidence Levels for Use of Multimedia: 1997 and 2002
veryl confidentconfident
not confidentnot at all confident
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.8 Confidence Levels for Use of the Internet: 1997 and 2002
194
very confidentconfident
not confidentnot at all confident
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.9 Confidence Levels for use of Email: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 9.10 Use of the Internet in Class: 1997 and 2002
195
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
100
80
60
40
20
0
group
1997
2002
Figure 9.11 Use of Email in Class: 1997 and 2002
more useno changeless use
Perc
ent
80
60
40
20
0
group
1997
2002
Figure 9.12 Anticipated Future Use of Multimedia: 1997 and 2002
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The role of technologies in higher education
Graduate teachers were again asked about the frequency of use of technologies
at university, the types of usage made of the technologies, the relative importance of the
technologies, and the future use of technologies in higher education.
Reports from these teachers revealed that, while at university, they had made
frequent use of two technologies. Analysis of responses presented in Table F.10
(Appendix F) revealed that 82% made daily to weekly use of email and 81% made daily
to weekly use of the Internet. Multimedia was used this frequently by only 30%, while
few (7%) reported using teleconferencing this frequently. Graduate teachers also
reported that academic staff made regular use of the technologies in teaching. More than
half reported that multimedia (56%) and the Internet (53%) were used daily or weekly
by faculty, while 47% reported that email was also used this frequently by academic
staff (refer Table F.9, Appendix F).
Comments from104 graduate teachers provided insight into how the
technologies were used. Most uses could be grouped into one of the seven categories
presented in Table 9.5. As can be seen, the most frequently cited use of the
technologies, attracting 68% of responses, was the use of email for communicating
(with lecturers and peers) and submitting assignments. Almost half (48%) of the
responses mentioned that the technologies were used to present lectures, while 47%
noted that they used the Internet for research or information retrieval. The impact of
OLT was reflected in more than a third (36%) of the teacher’s comments. These
teachers noted that they used the Internet to access their online lecture notes or
resources. Other uses included the demonstration by lecturers of technologies or
programs or the evaluation of these (15%) and participation in video or teleconferences
with schools. One-off examples of use not represented in the table included “Online
chat forums” and “Animated stories and games”.
197
Table 9.5 Academic Staff Use of Technologies:1997 and 2002 _____________________________________________________________________ Type of use 1997 2002
(n =36) (n = 104) _____________________________________________________________________ Email communication/assignment submission 31% (11) 68% (71)
Presentation of lectures 19% (7) 48% (50)
Internet for research/information retrieval 33% (12) 47% (49)
Access online unit lecture notes/resources 0% (0) 36% (37)
Demonstration/assessment of technologies/programs 12% (4) 15% (16)
Video/teleconferencing 3% (1) 9% (9)
Creating web pages 0% (0) 3% (3)
_____________________________________________________________________
When asked whether usage of the technologies in higher education should be
reduced, increased or remain unchanged, Table F12 (Appendix F) shows that a majority
of graduate teachers favoured increased usage of multimedia (64%) and conferencing
technologies (76%), however over half favoured no change in the usage levels of the
Internet (56%) and email (56%).
Comparison between 1997 and 2002
Chi-square analyses confirmed significant differences between the groups for
frequency of use of the technologies. Concerning use by academic staff, chi-square tests
revealed significant increases in usage of multimedia, χ2 (2, n = 194) = 66.53, p = .000,
conferencing technologies, χ2 (2, n = 194 =16.00, p = .007, the Internet, χ2 (2, n = 194)
= 71.76, p = .000 and email, χ2 (2, n = 193) = 36.05, p = .000. These differences are
presented graphically in Figures 9.13, 9.14, 9.15, and 9.16). Usage at university by self
also increased significantly since 1997 for multimedia, χ2 (2, n = 193) =36.20, p = .000,
the Internet, χ2 (2, n = 194 =128.46, p = .000 and email, χ2 (2, n = 194) = 111.44, p =
.000 (refer Figures, 9.17, 9.18 and 9.19).
198
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.13 Academic Staff Use of Multimedia in Teaching: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
80
60
40
20
0
group
1997
2002
Figure 9.14 Academic Staff Use of Conferencing Technologies in Teaching: 1997 and 2002
199
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 9.15 Academic Staff Use of the Internet in Teaching: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.16 Academic Staff Use of Email in Teaching: 1997 and 2002
200
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.17 Use of Multimedia by Self at University: 1997 and 2002
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
70
60
50
40
30
20
10
0
group
1997
2002
Figure 9.18 Use of the Internet by Self at University: 1997 and 2002
201
dailyw eekly
fortnightlymonthly
once a semesternever
Perc
ent
60
50
40
30
20
10
0
group
1997
2002
Figure 9.19 Use of Email by Self at University: 1997 and 2002 The role of technologies in preservice teacher education
Graduate teachers were again asked to rank the relative importance of four
technologies to preservice teacher education and to rate the adequacy of their
preparation to use technology. In 2002, they were also invited to suggest how
preparation might be improved.
Regarding which of the technologies was the most important to preservice
teacher education, figures presented in Table F. 13 (Appendix F) reveal that 54% of new
teachers selected multimedia, 37% selected the Internet, and nine percent selected email.
No one ranked conferencing technologies as the most important. Indeed, 81% ranked
this as the least important technology.
Ratings for the adequacy of preservice teacher education to prepare new
teachers to use technologies in their teaching were encouraging. As seen in Table 9.6,
one-third (33.3%) in 2002 rated teacher preparation as adequate, almost one-quarter
(24%) felt that they were well prepared and a further five percent indicated that they
202
were very well prepared. In contrast, one-third (33.3%) maintained that they were not
well prepared while a further five percent claimed that they were not prepared at all.
Table 9.6 Adequacy of Preparation in Technology Use: 1997 and 2002 ____________________________________________________________________ Level of Preparation 1997 (n = 72) 2002 (n = 123) ____________________________________________________________________ Not prepared 38% (27) 4% (5)
Not very well prepared 42% (30) 33% (41)
Adequately prepared 19% (14) 33% (41)
Well prepared 1% (1) 24% (30)
Very well prepared 0% (0) 5% (6)
____________________________________________________________________
In light of 1997 expressions of dissatisfaction with technology preparation, 2002
respondents were invited to suggest how technology preparation could be improved.
Suggestions were received from 91% (112) of the graduate teachers. The majority of
responses could be grouped into one of the categories presented in Table 9.7. Most
frequently cited among the responses (38%) was the suggestion that there be more
technology-specific units or subjects throughout the four-year course. Many stated that
these units should be compulsory and that technological competency should contribute
to assessment. Related to this, a further 22% recommended increased exposure to, and,
availability of, specific programs and software (such as CD-ROMs), while the same
number of teachers requested that ideas for integrating technology into the curriculum
and classroom activities and planning be included in their course. More ‘hands-on’
practice in the use of technologies was also recommended by 21% of teachers, along
with the modelling or demonstration of classroom technology use by lecturers or
visiting classroom teachers (7%). Additional suggestions that could not be categorised
included “More real world links to the classrooms”, “A task to be completed during prac
that involves computer-based technology”, “More reliable equipment at uni”,
“Technology support networks and supportive, patient staff”, “A stronger relationship
between schools and uni”, “A handbook for future teachers to use”.
203
Table 9.7 Suggested Improvements to Technology Preparation ____________________________________________________________________ Improvement (n = 112) ____________________________________________________________________ Increased technology-specific units & assessment 38% (43)
Exposure to/availability of specific programs/software 22% (25)
Ideas for classroom/curriculum integration 22% (25)
Hands-on practice 21% (24)
Demonstration/modelling from lecturers/classroom teachers 7% (8)
____________________________________________________________________ Comparison between 1997 and 2002
No significant differences were found between the 1997 and 2002 groups for the
technology that was considered to be the most important to teacher preparation. In both
years, more than half of each group nominated multimedia as the most important
technology. In relation to ratings of preparation in the use of technologies for teaching,
however, Chi-square analysis confirmed a significant difference between the groups, χ2
(2, n = 195)= 53.53, p = .000. As Figure 9.20 illustrates, the 2002 group were more
likely than the 1997 group to indicate they were well prepared or very well prepared and
significantly less likely to indicate they were not prepared in the use of technologies.
204
very w ell preparedw ell prepared
adequately preparednot very w ell prepar
not prepared
Perc
ent
50
40
30
20
10
0
group
1997
2002
Figure 9.20 Adequacy of Preparation in the use of Technologies: 1997 and 2002
DISCUSSION
In 2002, graduate teachers appeared to be substantially more
knowledgeable and confident than their 1997 counterparts in relation to their use of
multimedia, the internet and email. Research in the United States (Zhao et al., 2001) and
Scotland (Williams et al., 2000) also revealed highly confident teachers although in the
latter study, along with a United States study discussed by Hasselbring et al. (2000),
confidence did not always translate to usage rates. In both studies, the researchers noted,
numerous teachers continued to make only limited use of technologies.
Contrary to these studies, though, several others since 1997 have pointed
to a gradual uptake of technology by teachers in schools. For instance, research in the
United States by McCannon and Crews (2000) and the National Center for Education
Statistics (Wright, 2001) revealed that the majority of teachers were making frequent
use of technologies in their teaching. Given these findings, coupled with indications of
increased knowledge and confidence among teachers in the current study, it was not
unanticipated that these respondents should also report more frequent use of the
205
technologies compared with the 1997 cohort. Although the increases were only
marginal for multimedia (which continues to be used daily or weekly by around half the
group and remains the most frequently used technology), daily or weekly use of the
Internet and Email has at least doubled during the five-year period.
It is possible that the significant growth between 1997 and 2002 of home
ownership of CD-ROMs and Internet connections has contributed to the 2002 teachers’
increased knowledge, confidence and usage rates of technology. As discussed earlier,
home computer ownership has been linked to both positive attitudes towards, and
increased usage of computers (Spotts & Bowman, 1995). It is also feasible that gains in
knowledge are connected to the increasing use at the university of OLT which relies
predominantly on the use of the Internet and Email. Bearing in mind that these teachers
were in their first and second year of teaching, their reports of frequent technology use
are promising. Wright (2001) noted that teachers with 4-10 years experience tended to
be the greatest users of technology because those with less than four years experience
were still struggling to come to terms with their new profession, while those with more
than 10 years experience were content with their existing teaching methods.
Since 1997, research focused not so much on rates of technology use in the
classroom but on the ways in which teachers are using technology. This change of focus
is perhaps in some way illustrative of the move away from what Davis (2000) refers to
as the ‘simplistic’ to the ‘more mature’ view of technology usage in which technologies
should be seen to enhance, not simply facilitate, teaching and learning. Underscoring
this new thinking, however, are growing concerns about the nature of classroom
technology use. Emerging research from the United States and Scotland suggested that,
for the most part, technologies were being used in the classroom for ‘low-level’
administrative or word processing tasks and rote learning exercises (Brush et al., 2001;
Hasselbring et al., 2000; McCannon & Crews, 2000; Strudler & Wetzel, 1999;
Williams, et al., 2000; Willis et al.,1999; Wright, 2001). In Australia, recent data from
the DETYA study in which teachers’ skills and computer usage across a range of
domains and activities were examined, presented a similar picture. According to Russell
et al. (2000) the study highlighted inadequate skill levels among teachers across a
variety of ‘advanced’ computer uses (Russell, et al., 2000), prompting Yelland et al.
206
(2000) to conclude that computers in classrooms in Australia were being used as low
level educational tools.
Data from this current study, however, indicated that teachers were generally
more likely than those in the DETYA study (Russell, et al., 2000) to use computers in
‘advanced’ ways. For instance, teachers in the current study reported more frequent use
of computers for educational programs or games, creating pictures, getting information
from the Internet, sending and receiving email, making music or sound, communicating
with other schools, and participating in online chat groups. Using the five-stage model
of technology integration proposed by Sandholtz, Ringstaff and Dwyer (1997) as a
guide, it is possible to speculate that this breath and level of technology use was
indicative of teachers who were already at the adaption phase of technology integration.
In contrast, Williams et al. (2000) surmised that teachers in their study appeared to only
be at the entry or adoption stages of technology integration. The researchers reached this
conclusion because of the tendency among teachers to use technologies for word
processing as well as their limited use of technologies such as the Internet and Email.
These teachers also tended to use technology as an add-on or reward for children rather
than an integral teaching tool. Interestingly, as noted in Chapter 5, a frequently noted
use of technology among the 1997 cohort was to extend or reward children indicating
perhaps, that this earlier group was also at the entry or adoption stages of technology
integration.
In terms of what prevented teachers from using technologies in the classroom,
similarities and differences were evident between the 1997 and 2002 groups.
Insufficient equipment and resources persisted in 2002 as the primary barrier, however
lack of time, rarely noted in 1997, was a commonly cited barrier in 2002. In 1997, lack
of training options also figured prominently among the responses and only a handful of
these graduates attributed their knowledge of the technologies to inservice or
professional training. In 2002, lack of training appeared to be less of a concern although
many did acknowledge that difficulty integrating into the curriculum and discomfort
using technology were also barriers to their use.
207
Findings from the 1997 study prompted a closer examination in the 2002 study
of the current nature, availability and perceived effectiveness of inservice training
programs. Since the original study, much has been written about the role of professional
inservice development opportunities. Recent literature, both in Australia and overseas,
indicates that inservice training in technology use was now widely available to teachers.
What was also apparent from several studies, however, was the failure of many of these
programs to meet the needs and expectations of teachers. Common criticisms centred on
the limited scope of such programs and their focus on word processing and
administrative applications as opposed to curriculum integration strategies (Cole, 2000;
Franklin, et al., 2002; Hasselbring et al., 2000; McCannon & Crews, 2000; Russell et
al., 2001; Williams, et al., 2000). In support of this research, a majority of teachers in the
current study acknowledged that inservice training was available to them. This finding is
further supported by the greater likelihood, since 1997, of teachers attributing their
knowledge of the technologies to inservice training. However, there was mixed support
for previous studies which reported that teachers were dissatisfied with their inservice
training (Cole, 2000; Franklin et al., 2002; McCannon & Crews, 2000; Russell, et al.,
2000) or had declined opportunities for training due to factors such as lack of time
(Cole, 2000). In the current study, it appeared that almost half of the teachers had not
taken part in this training, although those who did were satisfied with it. Several teachers
in the current study did, however, express dissatisfaction with their training noting that it
was too basic or that they had already developed particular skills at university. As
discussed earlier, some students referred to training in the Minimum Standards,
established by the state government, and noted that the standards themselves were too
basic and had been addressed in their preservice teacher education. What teachers did
want, in terms of training, was to develop skills in selecting and using multimedia
programs and software, constructing web pages and using the Internet. In addition,
perhaps due to their geographic isolation, many graduate teachers also expressed a need
for training in the use of audio/video conferencing technologies and communicating
with other schools.
Despite the growing availability in recent years of inservice training programs in
technology use, writers the world over continue to maintain that preparation in the use
of technologies is primarily a university responsibility. Kinslow et al. (2002) for
208
instance, noted that teacher education institutions must accept responsibility for
preparing teachers to use technology now and into the future. Likewise Russell et al.
(2000) claimed that beginning teachers should enter the profession with appropriate
skills.
However, research prior to and since 1997 has indicated widespread
dissatisfaction among new teachers with their preservice teacher education (Colon et al.,
1995; Davis et al., 1995; Fratianni, 1990; Handler, 1993; Hasselbring, et al., 2000;
Jerald & Orlofsky, 1999; Oliver, 1994; Topp, 1995; Wright, 2001). As recently as 2002,
reports from teachers continued to indicate that many were dissatisfied with their
preservice preparation in technology use, or, even when satisfied, were unlikely to
attribute their knowledge acquisition to preservice teacher education (Hasselbring et al.,
2000; Jerald & Orlofsky, 1999; Pope et al., 2002; Wright, 2001). In contrast though,
reports from teachers in the current study suggested widespread satisfaction with their
preparation, representing a dramatic improvement on findings from the 1997 study.
Whereas the majority of 1997 respondents claimed that they were unprepared to use
technology in their teaching, most respondents in the 2002 study reported that they were
adequately or well prepared to use technology. Additionally, in marked contrast to the
1997 cohort, some of the 2002 group reported that they felt very well prepared. This
finding is reinforced by other data from the study indicating that preservice teacher
education has become a source of technology knowledge acquisition for a growing
number of students. As noted earlier, 2002 respondents were significantly more likely
than their earlier counterparts to attribute their knowledge of multimedia, the Internet
and email to their experiences at university. For the university in general, and the
academic staff in the Faculty of Education, in particular, this feedback is encouraging.
It is plausible that this increased satisfaction is related to the apparent increase
by 2002, of technology use by faculty. Since 1997, literature has continued to endorse
the benefits to students of observing academic staff using technology in their teaching
(Hasselbring et al., 2000; Willis & Tucker, 2001; Yelland et al., 2000). Indeed recent
studies have confirmed that preservice students who have opportunities to see academic
staff using technology as they teach are more likely than those who have not had such
opportunities to use technology in their own teaching (Mathew et al., 2002; Pope et al.,
2002). Reports from 2002 graduate teachers indicated that faculty use of email in
209
teaching had more than doubled since 1997, use of multimedia and the Internet had
more than tripled, while use of OLT, non-existent in 1997, was now commonplace.
Comments from the 1997 and 2002 groups surrounding the nature of technology usage
shed light on this increased usage. For instance, reports from the 2002 group indicated
that email was now used for assignment submission as well as communication. 2002
teacher reports also indicated that technologies were used more frequently in teaching
for the presentation of lectures, accessing and retrieving information, demonstrating and
critiquing of technologies and programs, video/teleconferencing, and creating web
pages. Compared with 1997 data, reports from the 2002 group also highlighted
significant increases in their usage throughout their preservice teacher education of
multimedia, the Internet and email. Undoubtedly, this exposure to and increased usage
of the technologies contributed to teachers heightened sense of confidence as well as
their satisfaction with technology preparation.
In view of this increased satisfaction, the abundance of suggestions for
improving preservice preparation was somewhat surprising, as were the suggestions
themselves. As noted in the literature from both Australia and overseas, there is growing
conviction in the idea of more coordinated and collaborative approaches between
schools and preservice teacher education institutions (Downes et al., 2001; Strudler, et
al., 1999). This view is underscored by numerous recent studies documenting successful
outcomes arising from closer school-university partnerships (Brush, et al., 2001;
Dawson & Norris, 2000; Johnson-Gentile et al., 2000; Vannatta, 2000; Vannatta &
O’Bannon, 2002). Most of these studies centre upon jointly planned and monitored
practicum experiences that provide opportunities for hands-on use and modelling of
technologies. Common to all is sustained dialogue between teacher educators,
technology experts and a range of school personnel. While such a collaborative
approach appears to be highly successful in improving preservice teachers’ technology
preparation, it was rarely articulated in the responses of the 2002 group. Instead,
graduate teachers’ suggestions for improving technology preparation centred primarily
on increasing the availability and variety of technology-specific units at the university.
To a lesser extent, they also called for increased exposure to, better availability of
programs and software as well as ideas/strategies for classroom integration or hands on
practice. Only a handful of respondents made mention of university-school links or
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referred specifically to practicum experiences that provided opportunities to see
technologies used in the classroom. Surprisingly, too, there were few requests for
demonstration/modelling from lecturers or classroom teachers. It is possible that
students are unaware of the potential of technology enhanced practicum experiences or
school-university partnerships because these initiatives are outside their current realm of
experience. Perhaps, too, their general satisfaction with preservice teacher education did
not warrant changing or critiquing current preservice teacher education practices.
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CHAPTER 10
GENERAL DISCUSSION AND CONCLUSION
INTRODUCTION
The research reported in this thesis examined the perceptions and experiences of
academic staff and graduate teachers in using computer-based technologies. This final
chapter commences by reviewing the major findings from each of the studies according
to the specific research objectives and highlighting key similarities and differences in
the perceptions of academic staff and graduate teachers. Following this is a discussion of
issues arising from these findings as they relate firstly, to academic staff, and secondly,
to graduate teachers. Suggestions for advancing technology integration are then
discussed. The methodological limitations of the research are outlined and future
research directions are proposed. Finally, the contributions of this research to this
knowledge area are described.
Summary of Main Findings Principal findings from the studies are presented according to the research
objectives relating to the studies on academic staff, and secondly, to objectives relating
to the studies on graduate teachers.
Academic Staff
1. Explore attitudes towards and usage of computer-based technologies from 1997 to 2002
Findings from the 1997 study indicated that, contrary to assumptions made by
writers such as Massy and Zemsky (1997), Forgo and Koczka (1996), Heron (1996),
and Benavides and Surry (1994), the majority of academic staff were positive in their
views towards technology and possessed some knowledge of most of the technologies.
Like academic staff in the study by Spotts and Bowman’s (1995), most agreed that the
technologies were important to their teaching. Despite assertions about the potential of
multimedia (Fyfe & Fyfe, 1994; Issing, 1996; Mazzarol & Hosie, 1996) these academic
staff felt that the Internet and email were most important to teaching and they were
reasonably confident in their usage of these technologies. They expressed less
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confidence, however, in their use of CAI, multimedia and audiographics. In support of
previous research, staff acknowledged that multimedia-delivered instruction offered
numerous advantages over the traditional lecture including increased control over
learning, greater flexibility, interactivity and motivation (Felix & Askew, 1996;
McLoughlin & Oliver, 1994; Simpson, 1994; Sims & Hedberg, 1995; Stedman, 1995;
Waddick, 1995). At the time of this study, however, academic staff made little use of
any of the technologies in their teaching. This finding supported those of Spotts and
Bowman (1995) and Wetzel (1993) whose studies also revealed limited usage of
technologies by academic staff. However, unlike academic staff in Spotts and
Bowman’s (1995) study, most staff in the current study foresaw an increase in their
future usage of the technologies and, importantly, were also in favour of this increase.
Comments from staff in the current study indicated that when technologies were used,
most usage involved email for communicating with students and colleagues, multimedia
for presenting lectures, and the Internet for locating and sharing information and
conducting research.
Responses from the 2002 study indicated that this group made substantially
more use of the technologies than their 1997 counterparts, were more confident in their
use of email and the Internet and more knowledgeable about conferencing technologies.
They also appeared to be more knowledgeable and made more regular use of the
technologies than the academics in Groves and Zemel’s (2000) study. In terms of future
usage, however, there was no longer a desire among academic staff in the current study
to increase usage of all of the technologies. Most of the 2002 group preferred that there
be no change in their usage levels of the Internet and email, although, like the 1997
group, they preferred to increase their usage of conferencing technologies and
multimedia. Along with usage rates, the manner in which the technologies were used in
2002 had also changed. Open-ended comments reflected the increased development and
use of online discussion forums, online exercises, and links to interactive multimedia
learning activities and reference sites which had been made possible by the university-
wide system for online teaching (OLT). This had provided academic staff with a
platform that was easily accessible and user-friendly and which does not require a high
level of technological sophistication.
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2. Identify factors that encouraged or hindered the use of computer-based technologies from 1997 to 2002
Numerous factors previously found by Spotts and Bowman (1993) to influence
academic staff usage of technologies were also found to be influential in the current
study. In relation to multimedia use, factors that impeded use included lack of technical
advice and support, equipment and resources, quality materials, Faculty support, time,
and training. Lack of time and training were also found to be critical factors in
technology use in previous studies (Lyons & Carlson, 1995; Willis et al., 1995). In the
current study, lack of training potentially impacted on the use of all of the technologies,
with few academic staff attributing their knowledge of any of the technologies to work-
based training. Instead, like the academics in Lyons and Carlson’s (1995) study, most
indicated that they were self-taught.
Concerning factors that would encourage their use of multimedia, available
time, technical advice and support, evidence of improved student learning and interest,
along with training, equipment, quality materials and Faculty support appeared to be the
most salient. Reward or recognition of teaching efforts appeared to be less of an
incentive compared with other factors, something also found by Spotts and Bowman
(1995). There was agreement with academic staff in previous studies (Davis et al., 1995;
Hesketh et al., 1996; Willis et al., 1995), though, that innovation in teaching went
unnoticed. The vast majority of academic staff believed that such innovation deserved
greater recognition, while many agreed that increased recognition would encourage their
use of technologies.
There were a number of changes in 2002, in terms of the factors reported to be
influential in technology use. In relation to multimedia, significantly more academic
staff in 2002 indicated that lack of evidence of improved learning and difficulty
integrating technology into teaching were barriers to usage. Other barriers such as lack
of technical advice and support, time, equipment and resources, quality materials,
Faculty support, and training continued to hamper usage in 2002. Significantly fewer
academic staff in 2002 attributed their knowledge of the Internet and email to work-
based training, while significantly more attributed their knowledge of these technologies
to being self-taught. When asked about their preferred method of technology training,
most indicated a desire for a Faculty colleague mentor program. Academic staff in
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previous studies also indicated a preference for this type of technology training (Cooper,
1999; Haile & Payne, 1999; Matthew et al., 2002; Strudler & Wetzel, 1999).
3. Examine perceptions surrounding personal and university valuing of teaching from 1997 to 2002
Previous research by Hesketh et al. (1996) and Ramsden and Martin (1995)
revealed a perception among academic staff that teaching was less important to
universities than publishing or research. Staff in Hesketh et al.’s (1996) study
maintained that, because of this, the extra effort involved in using technology was not
worth it. Findings from the current 1997 study also revealed dissonance between what
academic staff valued and what they believed was valued by the university.
Overwhelmingly, academic staff valued teaching above research and publishing.
However, there was a widely held belief that teaching was valued least by the
university. It was not unexpected, therefore, that almost all academic staff should agree
that innovation in teaching deserved greater recognition.
In 2002, the perception that the university valued research and publishing above
teaching persisted. However, the dissonance between personal and academic valuing of
teaching that was so evident in 1997 was tempered in 2002 by a significant increase in
the numbers of academic staff reporting that they valued research equally as much, or
more than, teaching.
4. Determine perceptions concerning preparing students to use technologies in their teaching from 1997 to 2002
As in previous studies (Davis et al., 1995; Wetzel, 1993; Willis et al., 1995),
there was widespread agreement among academic staff, in 1997, that preparation in the
use of technologies was an important aspect of preservice teacher education. Unlike
Thompson and Schmidt (1994) and Munday et al. (1991; cited in Lyons & Carlson,
1995) who proposed that the responsibility for preparing teachers to use technology lay
with universities, most staff in the current study believed that preparation should be
shared responsibility of schools and universities. They also maintained that the most
important technology to this preparation was the Internet. Although academic staff
recognised the importance of preparing students to use a range of technologies in their
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teaching, few believed that students were well prepared. Instead, most rated this
preparation as inadequate.
In 2002, the Internet again prevailed as the most important technology to
preservice teacher education. There were, however, significant changes between the
1997 and 2002 groups concerning beliefs surrounding the adequacy of preparation in
technology use. In 2002, academic staff were almost three times more likely than their
1997 counterparts to rate preparation as adequate. Although, academic staff were clearly
more optimistic about the adequacy of this aspect of preservice teacher education, many
offered suggestions as to how preparation could be improved. The most frequent
suggestion centred on the increasing provision of technology units and assessment at
university.
Graduate Teachers
1. Explore attitudes towards and usage of computer-based technologies from 1997 to 2002
Reports from graduate teachers in 1997 revealed positive attitudes towards
technologies. Most reported feeling confident in their use of CAI and multimedia,
although they lacked confidence in the use of conferencing technologies, the Internet
and email. Similarly, most graduate teachers appeared to be knowledgeable about
multimedia, and to a lesser extent CAI, but lacked knowledge of the other technologies.
This finding lent some support to earlier studies (Handler, 1993; Hochman, et al., 1993;
Lui et al., 1990; cited in Gabriel & MacDonald, 1996) which found that new teachers
were not confident about their use of technologies in the classroom. Despite this lack of
confidence, graduate teachers cited numerous advantages associated with using
multimedia technology in their work. Among these advantages were those related to
improved children’s interest and motivation, access to information, facilitating
independent learning and promoting computer literacy. Several disadvantages were also
noted, although all but two (“over or inefficient use by children” and “need for constant
supervision of children”) were more indicative of barriers than disadvantages.
Regardless of any perceived disadvantages, graduate teachers still ranked multimedia
well ahead of the other technologies in terms of its usefulness in their work.
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Although positive about the potential of technologies such as multimedia,
graduate teachers made little use of CAI, audiographics, the Internet, and email in their
teaching. Given reports of limited technology use by new teachers in previous studies
(Huang, 1994; Oliver, 1994), this finding was not unexpected. Usage by teachers in the
current study tended to rely largely on multimedia for class research, projects and
educational programs. In terms of future usage, graduate teachers anticipated increasing
their use of all of the technologies in the future and were positive about this increase.
Attitudes towards the use of technologies in higher education were also positive.
In support of previous claims about multimedia (Crosby & Stevlosky, 1995; Gooley et
al., 1994; Iynkaran & Crilly, 1994, Stedman, 1995; Waddick, 1995), graduate teachers
indicated that multimedia-delivered instruction offered numerous advantages over the
traditional lecture including increased control over learning, greater flexibility,
interactivity and motivation. There was widespread agreement that the use of all of the
technologies in higher education be increased.
Responses from the 2002 study indicated that this group made substantially
more classroom use of the Internet and email than their 1997 counterparts and were
more knowledgeable and confident in their usage of multimedia, the Internet and email.
Although usage of the Internet and email still lagged well behind that of multimedia,
there were clear indications from new teachers that the technologies were being used
more regularly in classrooms. This finding provides support for research by Williams et
al. (2000), McCannon and Crews (2000), and Wright (2001) which pointed to a gradual
uptake in technology use by teachers in recent years. Most teachers in 2002, like those
in 1997, also expected to increase their use of the Internet, email and multimedia,
although, in relation to multimedia, significantly fewer 2002 teachers expected to
increase their use of this technology. Given the already high rates of multimedia usage
in 1997, this finding was not surprising.
Other principal findings stemming from this study related to the nature of
teacher’s classroom technology usage. Recent research had indicated that teachers were
using technologies primarily for low-level administrative or rote-learning tasks (Brush
et al., 2001; Hasselbring et al., 2000; McCannon & Crews, 2000; Strudler & Wetzel,
1999; Williams et al., 2000; Willis et al., 1999, Wright, 2001). However, in the current
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study, teachers’ reports of technology use for communicating with other schools,
creating music, sound and pictures, locating information on the Internet, for instance,
suggested that they were finding more innovative ways to use technologies in their
classrooms.
2. Identify factors that encouraged or hindered the use of computer-based technologies from 1997 to 2002
In 1997, graduate teachers cited numerous barriers to their classroom use of
technologies, namely lack of funding, resources and equipment and lack of knowledge,
confidence and training. Previous research revealed that lack of knowledge, confidence
and training were also issues for new teachers that impacted on their technology use
(Colon, et al., 1995; Handler, 1993). In relation to training, most graduate teachers in the
current study claimed to be self-taught in the use of technologies, with inservice or
preservice training apparently playing only a limited role.
In 2002, issues such as those associated with lack of resources and equipment
continued to hinder technology use, although training appeared to be less of an issue.
This reduced need for training appeared to be linked to the significant increase in the
numbers of graduate teachers citing preservice education as a source of knowledge
about multimedia and the Internet. In 2002, it was also apparent that inservice training
opportunities were now widely available, although reports from graduate teachers
indicated that many had not taken up such opportunities. This finding supports research
findings by Cole (2000) that found many teachers decline opportunities for inservice
training. There was only limited support, however, for research by Cole (2000), Franklin
et al. (2002), McCannon and Crews (2000), and Russell et al. (2000) that highlighted
dissatisfaction among teachers with their inservice technology training. In the current
study, graduate teachers were mostly satisfied with their training although several did
voice their concerns. These concerns related to the level of training with most
commenting that it was too easy or repetitive. In relation to their perceived needs,
graduate teachers commented that they would like to develop skills in the selection and
use of multimedia programs and software, constructing web pages, using the Internet,
and using conferencing technologies and other techniques for communicating with
schools.
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3. Determine perceptions concerning preparing preservice students to use technologies in their teaching from 1997 to 2002
Graduate teachers in 1997, like those in studies by Colon et al. (1995) and
Handler, (1993), overwhelmingly agreed that preparation in the use of technologies was
a highly important aspect of preservice teacher education. They also concurred that this
task should be a shared school-university responsibility. There was strong agreement
that the most important technology to their preparation was multimedia. Although most
graduate teachers reported studying at least one technology-related subject in their
preservice education, most maintained that their preparation to use technology was
inadequate. Similar reports of dissatisfaction among new teachers were evident in
research by Colon et al. (1995), Oliver (1994), and Topp et al. (1995). Even in studies in
which preservice teacher education students had undertaken technology-specific
subjects dissatisfaction was common (Davis et al., 1995; Handler, 1993). Although staff
modelling technology use has been positively implicated in technology use by new
teachers (Huang, 1994; Wild, 1994) graduate teachers in the current study, like those in
Colon et al’s. (1995) study, reported that academic staff made little or no use of the
technologies in their teaching. Furthermore, graduate teachers reported that they,
themselves, rarely used the technologies while at university.
In 2002, there was no change in relation to which technology was considered by
graduate teachers to be the most important to preservice teacher education. Again, this
technology was multimedia. There was, however, a significant increase in the level of
satisfaction with preparation in technology use. In 2002, graduate teachers were
significantly more likely than their 1997 counterparts to report feeling well or very well
prepared. These findings contrast markedly with reports by Hasselbring et al. (2000),
Jerald and Orlofsky (1999), Pope et al. (2002), and Wright (2001) which claimed that
new teachers remained dissatisfied with their preservice technology training or rarely
attributed their technological knowledge to preservice education. If we accept reports by
Matthew et al. (2002) and Pope et al. (2002) that faculty modelling of technology is
positively correlated with new teachers’ technology use, then the increased usage of
technology by faculty had clearly been beneficial. As noted earlier, reports from both
academic staff and graduate teachers indicated that there had been significant increases
in academic staff usage of multimedia, conferencing technologies, the Internet and email
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in teaching. Likewise, graduate teachers appeared to have significantly increased their
own usage of multimedia, the Internet and email.
Academic staff and graduate teachers compared Findings reported in this thesis, therefore, indicated that extensive
changes occurred between 1997 and 2002 in terms of academic staff and graduate
teachers’ perceptions and usage of technologies. Reports from both graduate teachers
and academic staff indicated that there had been considerable increases in their
knowledge, confidence levels and usage rates of the technologies. These increases were
most apparent for graduate teachers, who experienced significant gains in knowledge
and confidence of multimedia, the Internet and email, and significant increases in use of
the Internet and email in their teaching. Despite these gains, multimedia remained the
most frequently used technology in the classroom. Though less widespread, significant
gains were also evident for academic staff. In 2002, they were significantly more
knowledgeable about conferencing technologies, more confident in their use of the
Internet and email, and significantly more likely to use multimedia, conferencing
technologies, the Internet, email, and, of course, OLT in their teaching. In other words,
both groups, in 2002, appeared more competent and more at ease with various
technologies.
There was also considerable consensus between the graduate teachers and
academic staff in relation to the university context. Both groups were in agreement that
academic staff usage of technologies in teaching had increased dramatically and that the
quality of preparation in the use of technologies had vastly improved. There was also
sustained consensus between the groups surrounding the future use of technologies in
higher education. In 1997, both academic staff and graduate teachers preferred to see an
increase in the use of the all of the technologies except CAI. In 2002, however, both
groups were more likely to prefer no increases in the use of the Internet and email but
they still preferred increases in the use of multimedia and conferencing technologies.
Graduate teachers and academic staff, however, consistently differed in their opinions
surrounding which technology was the most important to preservice teacher preparation.
According to graduate teachers in 1997 and 2002, the most important technology was
multimedia. According to the 1997 and 2002 groups of academic staff, however, this
technology was the Internet. It is possible that the appeal of multimedia for classroom
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teachers lies in its potential to provide children with stand-alone, self-directed learning
experiences that require a minimum of teacher supervision. Academic staff members, on
the other hand, may well be more concerned with the Internet’s potential to facilitate
access to the type of information and resources that can contribute to preservice
teachers’ knowledge and skill development.
Despite the perceived improvement in technology preparation, there was no
shortage of suggestions from the groups as to how preparation could be improved.
Again, there was consensus with both academic staff and graduate teachers groups
tending to suggest an increase in the provision of technology specific subjects and
evaluations. Few of the academic staff or graduate teachers made mention of modelling
or demonstration of technology by faculty teachers or greater exposure to technologies
during practicum.
Issues emerging from the research Notwithstanding the many encouraging findings in 2002, several issues for
academic staff and graduate teachers emerged from the data. For academic staff, these
issues centred upon training, Faculty level support and the need for a shared vision of
technology integration. For graduate teachers, issues related to the nature and
availability of training, school-based barriers to use and inadequate exposure to
technologies at university. Issues related to both groups will be discussed in turn.
Issues for Academic Staff
As discussed, academic staff in 2002 appeared to be making significantly greater
use of technologies and were far more confident in their use of technologies than their
1997 counterparts. If we accept the potential impact of modelling, therefore, it is not
inconceivable that this increased confidence and usage helped to bring about the
concomitant increases in graduate teachers’ technology confidence and usage. What was
surprising, was that increases in confidence and usage appeared to have occurred despite
the absence of many of the enabling factors that Strudler and Wetzel (1999) claimed
were so necessary for the adoption of technology.
Of these enabling factors, training was a primary issue for academic staff. Work-
based and professional training appeared to play a declining role in knowledge
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acquisition of most technologies and lack of training was cited as a persistent barrier to
multimedia use. Given the assumption that teacher education institutions are largely
responsible for producing graduates who are confident and competent users of
technology, the diminishing availability of academic staff training was particularly
surprising. Yet, this lack of attention paid to training needs of academic staff is not
confined to the university context. Worldwide, the literature on technology training
overwhelmingly focuses of the needs and expectations of preservice and graduate
teachers as opposed to those of their educators.
In the absence of ongoing training, then, it was not unexpected that knowledge
gains across the academic staff group would be limited. Indications of significant
knowledge gains appeared limited to the use of conferencing technologies. It was also
not surprising that problems associated with integrating technology into subject areas
and discomfort with technology persisted as significant barriers to multimedia use.
Central to many of the issues emerging from the academic staff data was a
perceived lack of faculty-level support for technology use. As Bielefeldt (2001) noted,
infusing technology into teacher education requires a comprehensive approach that
attempts to balance facilities, academic staff professional development, coursework, and
field experiences. He explains that supporting the innovation actually means supporting
the innovators (p. 11). Yet, according to academic staff in this study, lack of support at
the Faculty level remained an ongoing barrier.
In light of the university’s policy on online teaching, support for academic staff
is particularly important. As Williams (2002) noted, the shift to online teaching requires
a considerable cultural change for both academic staff and students. She notes that
preparing a course for online delivery is a huge task that can take as much time, if not
more, than running a more conventional course. Williams (2002) recommends that, in
order to generate a commitment to change and agree on ways to achieve this,
professional development activities should include all members of a work group.
Whilst it was clear that a great deal of change had occurred at the university and
that most academic staff were making increased use of technology, it was also apparent
that many were not. For these, the motivation to use technology may not be sufficient
enough for them to change their existing practices. Surry and Land (2000) noted that
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most university-level technology strategies overlook the central role that academic staff
play in the change process and caution that academic staff motivation to use technology
will not be increased simply by purchasing more technology. Increasing academic staff
motivation, they add, should be part of the university’s overall change strategy. Where
academic staff motivation to use technology is lacking, Surry and Lend (2000)
recommended implementing a range of specific strategies. Based on Keller’s (1983)
earlier work, these strategies are:
Attention gaining strategies such as demonstrations to increase awareness of the
different types of technologies and showcase the potential and practical uses of
different types of technology;
Relevance strategies such as linking technology integration to the decisions about
retention, tenure and promotion to make the use of technology seem relevant to the
expectations, needs and goals that faculty members may have.
Confidence building strategies such as hands-on training workshops and peer
mentoring to provide academic staff opportunities to master various types of
technology the skills and the necessary support systems and infrastructure.
Satisfaction strategies such as teaching awards, funds for conference travel and
release time that will provide rewards to academic staff who use technology and
incentives to academic staff who don’t.
Relevant to all of these strategies, however, is the value of technology to
pedagogy. Embodied in any strategies designed to gain attention, promote relevance,
confidence and satisfaction should be explicit references to the pedagogical potential of
various technologies and their associated applications. As Schrumm (1999) noted,
teachers need compelling reasons to dramatically change their practice. In other words,
they need to know that technology has the capacity to enhance both teaching and
learning. For academic staff in this study, however, a lack of evidence that technologies
such as multimedia could improve student learning and interest continued to be
fundamental barriers to multimedia use.
Undoubtedly, what is also needed at the university is a shared vision for
technology integration in teacher education. According to Vannatta and O’Bannon
(2002), the adoption and communication of a shared vision is one of the most important
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conditions for technology integration in teacher education. Vannatta and O’Bannon
(2002) explained that such a vision facilitates enabling factors such access, incentives,
professional development and support and policies that underpin the creation of
environments conducive to effective technology use. It should include a primary
purpose and outcome for technology use that is the foundation and guiding principle for
technology integration in teacher education. Importantly, too, this shared vision must
communicate to academic staff that teaching is valued.
The recent discussion paper by the Australian Federal government’s Committee
for the Review of Teaching and Teacher Education (2003) also reiterated the need for a
shared view or vision. The paper claimed that in order to equip teachers with the
necessary skills, knowledge and attitudes to enable them to “develop innovative
capacity in students, and to contribute to the culture of innovation in schools” (p. 20),
universities need to value and encourage innovation. A shared view about how to
facilitate innovation in teacher education, the paper stated, was central to this process.
Issues for Graduate Teachers
It was clear from their reports that graduate teachers were embracing technology
and were enthusiastic about its potential to enhance teaching and learning. What was not
so apparent was that the training needs of these new teachers were being adequately
met. Although there had been significant increases in reports of knowledge acquisition
through inservice and preservice training, reports of being self-taught in the use of
technologies continued to dominate responses as did, to a lesser extent, relying on
colleagues for assistance.
Reports from graduate teachers indicated that, at best, the contribution of
inservice training to knowledge development was modest. Although many
acknowledged that inservice training in technology use was available at their school or
centre, half of these teachers had not taken up such opportunities for training. Reasons
for non-participation in training were not asked in the questionnaire but based on
previous studies, it is possible to speculate that lack of time and lack of incentives were
instrumental. Previous research has indicated that many teachers simply do not have the
time to participate in inservice training (Cole, 2000) and that incentives, in the form of
time out from teaching, replacement by substitute teachers or financial rewards are
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rarely provided. There is growing recognition that incentives such as these are critical to
encouraging teachers to take up training opportunities (McCannon & Crews, 2000;
Russell et al., 2000), yet what typically occurs in Australia is that inservice training is
held on pupil-free days or after a full day’s teaching (Russell et al., 2000).
It is possible, too, that many graduate teachers did not participate in training
programs because the type of training on offer was irrelevant or unnecessary to their
requirements. Findings from other studies have found that much inservice training
focuses on word processing or operating systems and little on how to integrate
technology across the curriculum (Cole, 2000; Franklin et al., 2002; McCannon &
Crews). Yet, as noted by McCannon and Crews (2000), integration is the heart of
infusing technology into student learning as it enables the computer to become part of
the teacher’s repertoire rather than just being a machine that allows students to play
games. What graduate teachers in the study most claimed to need was training in the use
and selection of programs and software for classroom teaching and how to use
conferencing technologies.
Another issue stemming from the study findings was the dissatisfaction among
some new teachers with their inservice training. Although most graduate teachers who
had participated in inservice training were satisfied with their training, some were not.
Dissatisfaction tended to arise from training that was too basic or had covered areas that
had already been taught at university. Specific references were also made to the
Minimum Standards as set out by Education Queensland (1999) with an explanation that
the standards themselves were too basic and therefore the training was unnecessary,
repetitive or boring. Indeed, in 2000, Russell et al. were already suggesting the
professional development of teachers needs to move beyond Minimum Standards. While
the teachers acknowledged that this initiative was a good starting point for identifying
required technology skills, they also cautioned that the skills outlined in the Minimum
Standards document were “very basic”. Similarly, Boston (1999) noted that the focus on
“minimum” standards, as opposed to “optimal” standards, was cause for concern.
Boston (1999) stated that in advocating minimum standards, “we will simply
institutionalise mediocrity by accepting the lowest common denominator as the norm”,
thereby reinforcing “a deficit view of teaching and further contribute to lowering the
public status of teachers” (Boston, 1999, p. 11).
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Russell et al. (2000) explained that if teachers display only basic skills, it is
unlikely that their students will be adequately prepared for the 21st century. What is
needed, they recommend, is a teacher professional development model that is more
comprehensive than a list of IT skills to be taught, a model that requires not only
advanced computing skills but the pedagogical skills necessary to seamlessly integrate
technology into the curriculum. With these elements in mind, Russell et al. (2000)
recommended that an appropriate teacher development model requires:
Knowledge of curriculum issues for successful classroom implementation;
The ability to integrate technology across the curriculum in a supportive school
environment;
Sustained and broad ranging staff development in the use of information
technologies;
Time to design a plan for using technology software in the classroom and to
restructure curriculum around technology;
Knowledge of what teachers can achieve through the informed use of
technologies; and
Knowledge of what is available for educational uses of technology (p. 163).
Further school-based issues raised by graduate teachers related to the lack of
equipment and resources and the lack of quality teaching materials at the schools
where graduate teachers had been placed. For many teachers, these factors presented
tangible barriers to their use of technology, barriers that must be addressed if
technology integration is to be realised. However, Hasselbring et al. (2000)
maintained that equipment and resources are superfluous in the absence of skills and
knowledge. They explained that a school can have the best technology hardware and
software available but it is unlikely to be well used, or even used at all, if teachers
are not adequately trained. The extent of benefits to students, they believe, will
increasingly depend on how well teachers are prepared to integrate the new
technologies into their teaching.
In relation to preservice teacher education, if we compare 1997 and 2002 data,
there were clear signs that the adequacy of preservice preparation in technology use had
vastly improved. Whereas both academic staff and graduate teachers in 1997 appeared
largely dissatisfied with this preparation, in 2002, they were generally satisfied.
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Nevertheless, reports of dissatisfaction from a considerable number of graduate teachers
and several academic staff cannot be overlooked. These reports, coupled with the
abundance of suggestions from respondents for improving technology preparation
clearly indicated that there was room for improvement in preparing preservice teachers
to use technology.
Although both graduate teachers and academic staff were in favour of the
increased provision of technology specific units throughout preservice teacher
education, it is likely that this will have only limited effect. Research has indicated that
stand alone coursework is not a good predictor of technological proficiency
(Hasselbring et al., 2000). As noted in the 1997 study, most graduate teachers had
completed at least two or more technology specific units throughout their preservice
teacher education yet they were highly dissatisfied with their preparation in technology
use. In relation to technology-specific subjects, Yelland et al. (2000) recommended that
technology should be integrated in such a way that its use becomes “a seamless aspect
of the learning processes that are a daily occurrence in education” (p. 102).
While graduate teachers called for increasing the availability of technology-
specific units, what was both implicitly and explicitly requested was more hands-on use
of technologies. Students, it appeared, wanted to be actively engaged with technologies
and saw more merit in this engagement than that associated with simply observing
academic staff using technologies. Without doubt, the 2002 graduate teachers had
benefited substantially from the increased opportunities to see technology use modelled
by academic staff. However, if academic staff and graduate teachers’ reports of usage
are accurate, these increases centred primarily on the online teaching platform and
email. It is likely, then, that observing academic staff using technologies for these
purposes has only limited applicability to the situations that preservice teachers will later
find themselves in. Arguably, what is of more benefit to preservice teachers is seeing
technology modelled by classroom teachers in everyday classroom situations.
Advancing Teacher Education It is possible that additional technology-specific units, frequent opportunities to
observe academic staff using and demonstrating technologies, coupled with a shared
vision of technology and continued usage of online teaching just might be sufficient to
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develop the technological competencies and integration skills that new teachers need in
order to truly enhance teaching and learning. Overseas trends, however, suggest that this
is unlikely.
As Downes et al. (2001) explained, the lack of linkage between preservice
teacher education and educational systems in Australia creates a cycle of difficulties for
any innovation or change within the education sector. On the one hand, they note, those
involved in teacher education programs frequently find that the schools in which
students undertake teaching practice do not have the resources or expertise or classroom
practices that support students to become competent and confident users of technology.
On the other hand, schools frequently find that teacher graduates do not have the
necessary skills and understandings required for effective teaching. What may be the
solution, therefore, are working partnerships between schools and teacher education
providers.
According to growing research from the United States (Brush et al., 2001;
Johnson-Gentile et al., 2000; Vannatta, 2000; Vannatta & O’Bannon, 2002), sustained
partnerships between universities and schools are achieving positive outcomes for all
stakeholders. Underpinning these partnerships is the sharing of knowledge and
expertise, the collaborative planning and implementation of technology enhanced
experiences for preservice students and the involvement of school-based mentors. As
noted by Dawson and Norris (2000), effective school-university partnerships can help
bridge the gap between the theory and practice of designing effective teaching and
learning experiences. They can also enable teacher education providers to look beyond
the university classroom to the realities that their graduates face in schools where they
begin their careers (Strudler, McKinney, Jones & Quinn, 1999).
However, adding to the difficulties of preparing technology savvy teachers is the
absence, in Australia, of a clear vision for teacher education (Downes et al., 2001). In
their report Making better connections, Downes et al. (2001) noted, that what is
noticeable in Australia, compared to the United Kingdom and the United States, is the
“lack of clear standards or benchmarks for student teacher outcomes, teacher
behaviour, school capabilities, teacher education institutional capabilities and
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education system capabilities that collectively focus on an agreed set of
outcomes”
(Downes et al., 2001, p. 72).
In line with this view, the Committee for the Review of Teaching and Teacher
Education (2003) recommended that the planning and implementation of goals for
teacher education should be a collaborative process. A process informed by the
“productive engagement” of a diverse range of stakeholders, namely teacher educators,
employers, the teaching profession, business, industry and the wider community (p.21).
Undoubtedly, what is needed then, is a new paradigm for teacher education in
Australia. A paradigm based on the shared vision, cooperation and collaboration of
teacher education institutions, governments, schools, and professional associations.
Only then, can we expect teachers to demonstrate the types of technological skills and
competencies that truly enhance teaching and learning. Foreshadowing such a
paradigm, Russell et al. (2000), noted:
“the challenge for those involved in teacher education will be to revise
training and professional development opportunities at both the preservice
and inservice levels, to match teacher preparation with student’s future lives
in a digital world” (p. 164).
Returning to the overarching purpose of the study (p. 9), it is evident that
between 1997 and 2002, numerous changes in terms of policy, institutional support
and personal factors had impacted on academic staff and graduate teachers’
experiences with computer-based technologies. Figure 10.1 presents a summary of
changes that occurred throughout this period and the changes that are needed in order
to maximise the skills, competencies and understandings of preservice teacher
education staff and students.
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Figure 10.1 Study Purpose and Outcomes
Changes - ACADEMIC STAFF Policies Evident:
Overarching university technology policy
Introduction of OLT system Needed:
Shared vision for technology integration
Specific Faculty policy for technology use in teacher education
Institutional support Evident:
Recognition and reward for teaching Funding for technology-based
teaching grants Needed:
University/School/ partnerships Faculty-level leadership and support Faculty colleague technology mentors Time out for training Technical advice and support
Personal factors Evident:
Growing confidence using technologies
Valuing of technologies Needed:
Evidence that technologies can enhance learning
Overarching purpose of the study To investigate the experiences of academic staff and graduate teachers related to computer-based technologies and to identify changes in these experiences over time
Changes - GRADUATE TEACHERS Policies Evident:
Minimum Standards for teachers Needed:
Upgrading of Minimum Standards Articulation of specific skills/
competencies required for graduation Institutional support Evident:
Increased technology use by academic staff at university
Availability of inservice training Improved access to technology
Needed: University/School/Government
partnerships Improved nature of inservice training Hands-on technology-specific units
in preservice education Classroom modelling of technologies
Personal factors Evident:
Growing confidence using technologies
Valuing of technology Needed:
Knowledge of Online technologies
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Methodological issues and future research directions A number of methodological limitations associated with the program of research
require discussion. These limitations related to the reliance on survey methodology and
low response rates, the single context in which the study was conducted and the nature
of cross-sectional longitudinal research designs.
Concerning survey methodology, Rea and Parker (1992) maintained that, in
situations when accurate information on large populations is required and when the
researcher is sufficiently knowledgeable about the potential respondents to formulate
specific questions, there is no more effective method of research than the survey
process. Furthermore, when the intention of the research program is to identify trends or
behaviours over time and across potentially large populations, replicated surveys can
provide an efficient yet consistent alternative to experimental designs. However, several
shortcomings related to survey methodology impacted on the studies outlined in this
thesis.
Firstly, the unsolicited surveys used in the studies were subject to low response
rates. In the case of graduate teachers, return rates were further reduced in cases because
individuals had changed addresses and new contact details had not been provided to the
university. Related to this, surveys can also be subject to response bias, because, as
Fowler (1988) cautioned, sometimes only those who are interested in the research topic
make the effort to complete and return the questionnaire. As a result, it is possible that
those who did complete questionnaires differed in their attitudes towards and usage of
technologies, or felt more strongly than those who not.
A further weakness of the survey methodology used in this research program
was that it was limited in its ability to identify and illuminate particularly innovative
uses of technologies. Undoubtedly, many academic staff and graduate teachers were
using technologies in unusual ways, however, the quantitative orientation of the survey
process did not shed light on this.
In order to overcome some of the aforementioned limitations, future studies
could adopt a mixed-method research design. While surveys were considered an
efficient means of gathering data for this study, data collection for longitudinal and cross
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sectional research can involve a combination of techniques (Menard, 1991). Future
studies could use of observations and interviews. Observations could help establish the
extent to which self-reported practices aligned with actual behaviours while interviews
with a sub-set of participants would enable the further exploration of issues raised by
questionnaire responses. Combined with survey data, these techniques would contribute
to a deeper understanding of the respondents’ perceptions and usage of technologies,
and also of innovations in practice.
Another methodological issue of the research was its limited generalisability due
to the specific context in which the study occurred. Respondents were associated with a
single Faculty of Education. Differences on particular responses were likely to be the
result of differences among respondents, rather than differences to which the
respondents had been exposed (Fowler, 1988). The conduct of the research in a single-
site is thus a limitation but also a strength. Future studies, nevertheless, could investigate
other providers of preservice teacher education and the graduates from such programs.
In an addition, it would be fruitful to expand such a study to include the views of
students currently enrolled in preservice teacher education courses. Broadening the
study to encompass other contexts and participants would also assist in validating the
instruments used which, in the absence of established measures, were developed
specifically for this program of research. It would also establish the reliability of the
technology definitions used in the questionnaires.
A final limitation of the research was that links between respondents’ prior
knowledge and experiences of technologies and their responses on questionnaire items
were not explored. The contribution of prior knowledge, along with the effect of
particular personality dispositions may help to illuminate why some individuals are
more inclined than others to adopt technologies.
Contributions to the field The current program of research was conducted to address the paucity of
research into technology use in preservice teacher education programs and to examine
the potential impact of this technology use on new teachers’ usage of technology.
Previous research comprised isolated investigations of either academic staff usage, or
teacher usage of technologies. Prior to, and throughout the period of the research, there
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had been few attempts to examine the nexus between the two and none that had been
conducted in Australia. In the context of world-wide calls to equip teachers with
technological skills and competencies, this lack of research was surprising.
The research outlined in this thesis made several important contributions to the
field. Firstly, it reiterated the importance of familiarising preservice teacher education
students with a range of technologies throughout their preservice education. Specifically
it drew attention to the positive contribution that exposure to technologies throughout
preservice teacher education can make. The effect of this exposure was notable in the
comparison of findings from Phase 1 to Phase 2. Phase 1 of the research that revealed
new teachers rarely used technologies in their teaching and, according to their reports,
received little exposure to technologies during their preservice education. In Phase 2,
however, the use of technologies by new teachers had increased significantly in line
with reports indicating significant increases in exposure to technologies throughout
preservice education. Concomitant increases were also found in teachers’ levels of
confidence, in the level of sophistication apparent in how the technologies were being
used, and in their degree of satisfaction with their preservice teacher education.
Another contribution of the research program was a heightened understanding
surrounding inservice training for teachers. Findings in the second phase of the research
indicated that inservice training for teachers was widely available but that only half had
undertaken such training. Furthermore, few of these teachers acknowledged inservice
training as a source of their knowledge acquisition of any of the technologies. This
research, therefore, reinforced the importance of providing incentives, such as time out
from teaching, to encourage teachers’ participation in training. However, the research
also highlighted the importance of consulting teachers about their existing skills and
their specific training needs and expectations.
A further contribution of the research program related to the impact of
technology training on academic staff. As noted in the second phase of the research,
more academic staff attributed their knowledge acquisition of conferencing technologies
to work-based training. The outcome of this training appeared to be significantly
increased levels of knowledge of these technologies. The impact of training was further
highlighted in 2002, by findings showing that the absence of knowledge gain for the
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Internet was paralleled by significantly fewer opportunities for training in this
technology. Academic staff reports instead indicated an increasing reliance on being
self-taught and suggested that the recent increases in technology use had occurred in a
vacuum of training.
The current research also furthered our understanding of the barriers that
academic staff encountered in their attempts to use technologies and confirmed that
these barriers are not country-specific, or even university-specific. Academic staff in the
current study, like those in previous overseas studies, were hindered in their technology
use by lack of training, time, doubts that technologies could enhance learning, and a
perception that teaching was less valued than other academic activities. The
development and maintenance of programs that support technology use and integration
into teaching remains an important goal for the Faculty.
CONCLUSION
In the context of a digital world, there are growing expectations that teachers are
equipped with the capabilities necessary to develop new skills, attitudes and
competencies in their students (Committee for the Review of Teaching and Teacher
Education, 2003). Clearly, teacher education institutions have a pivotal role in preparing
these teachers. Yet, as recently as 2002, research from around the world suggested that
new teachers continue to feel unprepared to use technologies in the classroom (
Hasselbring et al., 2000; Pope et al., 2002; Wright, 2001) and that many providers of
preservice education were failing in their responsibility to equip teachers with these
skills (Brush et al., 2001; Pope, et al., 2002; Willis & Tucker, 2001).
This study demonstrated that preservice teachers’ experiences with technology
at university appear to have a bearing on their subsequent use of technologies in their
own teaching. The first phase of research, confirmed that against a background of
limited exposure to technologies at university, teachers made little or no use of
technologies in their teaching. However, some years later, there was evidence that
increased exposure at university appeared to contribute to an increased use of
technologies.
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The findings of this research have shown that both new teachers and academic
staff have made significant gains in both their understandings and usage of computer-
based technologies in recent years. Nevertheless, the study revealed that a complex
range of factors continues to hamper technology integration in both schools and
universities and that a reconceptualisation of the nature, purpose and contribution of
stakeholders is urgently required.
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CHAPTER 11
POSTSCRIPT - LOOKING BACK: LOOKING
FORWARD Introduction
This two-phase study was conducted across the period 1997 to 2002 to shed new
light on existing and emerging technologies in use in teacher education. The study
involved preservice teacher education faculty members from a Brisbane university and
graduate teachers from the same university. Commencing in 1997, the study collected
baseline data on knowledge, confidence, extent and nature of usage, barriers and
incentives to use the technologies along with the importance and adequacy of preservice
teacher preparation in the use of technologies. Data on these same issues were collected
again in 2002 from staff members and graduate teachers. Findings from these data sets
were compared in order to determine change in perceptions and usage over time.
The study was conducted at a time of unprecedented technological change and
innovation in many sectors of society. The convergence of computers, telephones and
digital technologies enabled faster and more pervasive links to commerce,
communication, culture, and information, new technologies in effect transforming the
way we work, the way we communicate and the way we learn. It was becoming
increasingly evident in this context of globalisation, rapid social change and the
burgeoning information economy, that our daily activities would not only involve the
incorporation of new technologies, they would be premised on the assumption that new
technologies were integral to life and work According to Hasselbring et al. (2000), our
future educational, employment and cultural opportunities would be determined by our
ability to understand and manage new and emerging technologies.
In recent years, technologies have also profoundly changed our conceptions of
knowledge itself. Easy access to the Internet has created an expectation that information
will be readily available in print, on video or online. As a result we have had to reassess
how new knowledge is constructed, how new information is best obtained, which
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information is the most reliable, and how people now make meaning from competing
sources of information.
The rapid development of new information technologies has been the catalyst
for educators at all levels to radically change their instructional approaches and their
curriculum (Haile & Payne, 1999). For universities, new technologies represent a way
of improving efficiency, productivity and meeting the needs of an increasingly diverse
population of students who require greater flexibility in terms of when, where and how
they study. As such, universities are now struggling with the dilemma of how to
integrate technology into current teaching and learning and how to develop strategic
plans and processes that will take them forward in sustainable ways (Oliver, 2001).
New technologies have also become a driving force for reform at the school
level. In recent years technologies have brought about fundamental changes to
curriculum and assessment frameworks, modes of school organisation, the nature of
work that students and teachers do, and the nature of school itself (Downes et al., 2001).
In this context of profound change there is an increasing expectation that teachers are
willing and able to capitalise on technology’s enormous potential to enhance teaching
and learning (Willis & Sujo de Montes, 2002). This expectation has also resulted from
the emergence of a new demographic of students referred to by Wright (2001) as the
“net generation” (p. 37). These students are confident and productive users of
technologies who have high expectations concerning the availability of technology in
school. These students expect learning to be entertaining and they expect it to be
customised, flexible and immediate (Wright, 2001).
As such, there is a growing realisation that, it is no longer useful for teachers,
parents and educational professionals to rely on the way they were taught or what they
were taught as a basis for today’s education (Spender, 2000). In order to realise the
learning outcomes that students need and expect, though, teachers must not only be
proficient users of technology, they also need to be able to use technology as an
effective educational tool (Pettenati et al., 2001). Research indicates that the teacher
shapes the eventual success or lack of success of any computers-in-education initiative
(Schrumm, 1999). However, technological advances are said to have created a “digital
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divide” between what teachers learn about technology in preservice education and how
they are expected to use the technology as classroom teachers (Pope et al., 2002, p. 191).
Looking back: Research findings and key issues
Despite the forecasted demands on teachers in this new information age and
concomitant expectations that tertiary education institutions will prepare new teachers to
use technologies, at the commencement of this study there was a paucity of research that
investigated the role and nature of computer-based technologies in teacher education.
Instead, most studies that investigated computer-based technologies in higher education
tended to focus on patterns of usage or behavioural characteristics of learners. More
often than not these learners were undergraduate students from scientific or engineering
disciplines.
Little attention had been paid to academic staff usage of technologies. Literature
in this area suggested under-utilisation of technology resulting from a range of factors
such as negative attitudes towards technology, lack of equipment, time, training and a
lack of evidence that technology could enhance learning (Benavides & Surry, 1994;
Davis et al., 1995; Forgo & Koczka, 1996; Heron, 1996; Murphy, 1994; Spotts &
Bowman, 1995; Wetzel, 1993; Willis et al., 1995). The handful of existing studies into
new teachers’ usage of technology indicated positive attitudes towards technology but
underutilisation in teaching due to lack of knowledge, confidence, access to equipment,
and limited exposure to technologies throughout preservice teacher education (Colon et
al., 1995; Davis et al., 1995; Handler, 1993; Lyons & Carlson, 1995; Oliver, 1994. At
the time, there had been no attempt to investigate usage and perceptions of new
computer-based technologies from the perspectives of both teacher educators and their
graduate students and there had been no longitudinal research in this area.
Notwithstanding the potential impact of technological change on staff and
graduate teachers, the study itself was also at the mercy of technological advances that
had occurred both in the wider world and the immediate context of the university. At the
commencement of the study, questions focused on five computer-based technologies
that were in use at the university (computer-assisted instruction (CAI), multimedia,
audiographics, the Internet, and email). However, the speed of technological change
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throughout the 1990s was such that by the second phase of data collection, a shift in the
focus technologies was necessary. By 2002, CAI had been largely superseded by the
cheaper, more widely available and infinitely more engaging multimedia technology
and was consequently omitted from the 2002 study. Similarly, developments in digital
technologies had seen audiographics replaced at the university by more sophisticated
forms of audio or videoconferencing. A further change to the study focus resulted from
the enormous investment by the university in the implementation of a university-wide
Online Learning and Teaching (OLT) system that affords online facility to all staff to
enable them to provide online resources and activities to students.
Key findings from the study told us that many changes had occurred between
1997 and 2002 in the perceptions and practices of both academic staff members and
graduate teachers. Numbers of participants in the different phases of the study are
presented in Table 11.1.
Table 11.1 1997 and 2002 Participant numbers ____________________________________________________________________ Year Participant group N ____________________________________________________________________ 1997 Academic staff 43 Graduate teachers 72 2002 Academic staff 40 Graduate teachers 123 ____________________________________________________________________ Academic Staff: Change from 1997 to 2002
In 1997, a typical staff member was self-taught or relied on colleagues to learn
about the technologies. Most staff possessed some knowledge of multimedia, the
Internet and email but minimal or no knowledge of CAI and audiographics. The less
knowledge the staff member possessed about a particular technology, the less confident
they were in their ability to use that technology. Lower levels of knowledge, in turn,
translated into lower rates of technology usage in teaching with the majority of staff
members reporting that they never used the technologies as part of their teaching. This
limited use did not appear to stem from negative attitudes towards technologies,
however, as (with the exception of CAI) most staff members hoped to increase their
usage of the technologies.
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In 2002, however, a typical staff member was not only substantially more
confident than their 1997 counterpart about their use of the Internet and email
technologies, he or she was also using these technologies on a daily or weekly basis.
Given the frequency with which the Internet and email were being used, however, it was
not surprising that significantly fewer staff in 2002 wished to increase their usage of
these technologies. In fact, many staff wished to lessen their use of email. Further to
this, when asked to comment on the most significant impact of technologies on their
teaching in recent years, many staff singled out email explaining that it had become a
source of frustration and anxiety because of the time required to respond to student
enquiries. Many, however, also commented that email had enhanced their
communication with students and colleagues.
Aside from frequency of usage, there was also a change in how some staff made
use of technologies. Many of these uses stemmed from the provision of OLT which
appeared to have been the catalyst for increasing the repertoire of staff skills. Rarely
noted in 1997, many staff in 2002 commented that they were now involved in
establishing interactive exercises for students, online discussion forums and hyperlinks
to web-sites. By and large, however, the technologies appeared to be used
predominantly for contacting students and colleagues (via email) and locating
information (via the Internet).
Of no less importance to the study were those findings pointing to the lack of
change, between 1997 and 2002, in some staff perceptions and practices. Interestingly,
there were no significant increases in knowledge levels of multimedia, the Internet and
email. Given that multimedia was once touted as the panacea for technological reform in
higher education, it was also surprising to find only modest increases between 1997 and
2002 in confidence and usage levels of this technology. Again, lack of use did not
appear to be related to negative attitudes because, unlike the Internet and email, the
majority of staff indicated a desire to increase their usage of multimedia. Rather, the
lack of use of multimedia appeared to be underscored by a range of barriers including
lack of equipment, resources, time, training, and support that endured from the
commencement to the completion of data collection.
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That said, there were two notable changes in staff perceptions relating to specific
barriers to technology use. Rather than easing, it was found that two of these barriers
had intensified, over the years. In 2002, staff were significantly more concerned that
multimedia was difficult to integrate into teaching and appeared even less convinced
than their 1997 counterparts that multimedia could improve student learning. The fact
that “evidence of improved student learning” had in 2002 become the most salient of all
incentives indicated that, in the ensuing years, a shift in focus appeared to have taken
place. This new focus suggested a more critical approach to technology use - an
approach based on the use of technology in meaningful and pedagogically sound ways.
Underlying this lack of confidence in the capacity of multimedia to enhance
learning and the ability to integrate it into teaching could be lack of professional
development. Reports from staff in 2002 indicated that only 10% were benefiting from
work-based training in their use of multimedia. There was also a significant reduction in
2002 of numbers of staff reporting work-based training as a source of knowledge for the
Internet. Data from the study were unable to reveal whether this was due to lack of
opportunity or lack of effectiveness of training. In contrast, half of the staff attributed
their knowledge of OLT to work-based training. Despite the relative newness of OLT to
the university, staff appeared more knowledgeable and confident about OLT than
multimedia. Moreover, they used this technology more frequently than all other
technologies except email and hoped to further increase their use of OLT.
A further finding of import was the change, since 1997, in the relative valuing
by staff of teaching, research and publishing. While the vast majority of staff in 2002
still valued teaching most highly, numbers of staff indicating that they valued research
equally or more than teaching had almost doubled. The perception among staff that
universities valued teaching less than research and publishing remained constant
between 1997 and 2002 and provided continued support for the much quoted “publish
or perish” adage.
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Graduate teachers: Change from 1997 to 2002
Arguably the most important and encouraging finding of the study was the
perceived improvement in the ability of the preservice teacher education course at the
university to prepare graduate teachers to use technology in their classrooms. Between
1997 and 2002 there had been a dramatic increase (from 30.2% to 75.5%) in numbers of
staff reporting that students were now adequately, well prepared or very well prepared.
This change was also evident in graduate teachers’ ratings of their technology
preparation (from 20.8% to 62.6%) and it was further reflected in their reports of
technology knowledge, confidence and usage levels.
In 1997, a typical graduate teacher was most knowledgeable about multimedia
and CAI but had only limited knowledge of the other technologies, particularly
audiographics. This teacher was unlikely to attribute their knowledge of any of the
technologies to preservice teacher education and, instead, was largely self-taught or
relied on other teachers for assistance. This teacher’s use of technologies in teaching
appeared to be confined to weekly use of multimedia and CAI, with the other
technologies being rarely if ever used. Similarly, a typical graduate teacher at this time
was likely to report that academic staff had rarely or never used technologies in their
university teaching. The technology that this teacher was most likely to recommend
increased use of at university was multimedia. To this teacher, this was also considered
the most important technology to preservice teacher education.
The study revealed that by 2002 significant gains had occurred in both
confidence and knowledge levels of graduate teachers. This cohort was also far more
likely to attribute their knowledge to preservice teacher education. Related to this were
reports indicating a marked increase in the frequency with which academic staff had
used technologies in their teaching. According to most graduates, staff were using the
technologies in their teaching (with the exception of audio/ video conferencing) on a
weekly or daily basis.
Interestingly, despite most graduate teachers reporting the availability of
inservice training opportunities there were no significant increases from 1997 to 2002 in
reports of knowledge attainment due to professional development or inservice training.
It appeared, then, the availability of or participation in inservice or professional
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development did not necessarily result in knowledge gains. While those who had
participated in training were generally satisfied, many teachers simply did not take up
opportunities because training was too basic or irrelevant to their needs.
The study told us that, despite the increased satisfaction since 1997 of graduate
teachers with preservice preparation in technology use, there remains much room for
improvement. Recommendations from 112 graduate teachers along with suggestions
from 20 staff provided insight into how such preparation for students might be
improved. Notable was the congruence in responses from staff and graduate teachers
with both groups primarily suggesting increasing the number of technology-specific
units within the course. Staff suggestions also included incorporating technological
literacy into students assessment, learning how to critically evaluate software,
improving access to hardware and software, more modelling and demonstration of
technology, and greater exposure to technology use throughout field-based experiences.
Additional recommendations from graduate teachers included increased exposure
to/availability/hands-on use of programs and software and ideas for classroom practice.
Implications for policy and practice
The study highlighted a range of findings that have implications for academic
staff, university managers and educational policy makers.
Implications for academic staff
Several findings have significance for academic staff involved in preservice
teacher education. Firstly, their practices appeared to have had a considerable impact on
the perceptions and practices of new graduate teachers. Data suggested that the growth
in staff technology use in preservice teacher education courses and the accompanying
increased usage of technologies in the classroom by graduate teachers were linked. It is
likely, too, that the substantial increase in graduate teachers’ satisfaction with their
technology preparation at university is also attributable to the increased use of
technology by university staff. The positive effect of this ‘technology modeling’ should
be heartening news for academic staff.
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Secondly, feedback from new teachers provided valuable insights into how
preservice teacher education may be improved. For academic staff wishing to upgrade
or reconceptualise teacher education programs this source of information should not be
overlooked. With the benefit of ‘real world’ experience, new classroom teachers are
arguably better informed than preservice education students about the needs and
expectations associated with technology use in the classroom. Reflecting on their
university experiences, new teachers in the study offered numerous suggestions for
improving preservice education. They, along with academic staff, recommended a
greater number of specific technology units, more technology-based assessment and
increased opportunities for hands-on experiences with a variety of technologies. New
teachers would have also benefited from more opportunities to see classroom teachers
modelling the use of technology – both in the classroom and at the university. The
implications for academic staff, then, are to seek feedback from recent graduates when
evaluating course content; to ensure that field-based practice includes opportunities for
students to observe and utilise technology in the classroom; to locate technology-using
classroom teachers; and, to recruit these ‘role model’ teachers as guest speakers at the
university.
A further finding of significance for academic staff was the widely held
perception that their Faculty did not adequately support technology initiatives. This
perception, along with the notable absence of policies on technology integration in
teacher education, points to the urgent need for staff to collaborate on the development
and implementation of Faculty level policies, standards and support mechanisms that
will guide the effective integration of technology in their Faculty.
Finally, staff receptivity to change, as evidenced by findings of increased
technology usage and largely positive attitudes towards technologies, augurs well for the
future. There is little doubt that ongoing technological advancements will continue to
impact on the nature of teacher education. The success of future programs will continue
to rely on the openness of staff to new ideas and new ways of doing things. In such
uncertain times, Bober (2003) maintains that, more than ever, teacher educators must be
flexible and adaptable, receptive to new ideas, eager to change focus if and when
circumstances warrant, and committed to currency and relevance.
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Implications for university managers
Many of the findings have particular relevance for university managers and
decision-makers. Firstly, contrary to the literature on technology use in higher education
pointing to widespread technophobia among academics (Forgo & Koczka, 1996; Heron,
1996; Marginson, 2000), many staff in this study possessed positive attitudes towards
technology. Most staff believed that new technologies had much to offer higher
education and throughout both phases of the study they anticipated increasing their
usage of technologies and were largely optimistic about this. According to both staff and
graduate students, academic staff also dramatically increased their usage of technology
over the years. These findings provided further evidence of a willingness to embrace
technology and ran contrary to the literature suggesting that university academics were
resistant to change, were “technologically challenged” and tended to teach in the
manner in which they were taught (Heron, 1996; Marginson, 2000; Spotts & Bowman,
1995).
University managers should be mindful that this increased technology use
occurred despite the persistence of numerous barriers. Data from the study revealed that
the barriers preventing technology use in 1997 were no less significant to academic staff
in 2002. According to a majority of staff, barriers such as lack of time, training,
equipment and resources, support from the faculty, training, and difficulty integrating
technology were major impediments to technology use. Clearly then, it is incumbent
upon university managers to address these barriers if expectations surrounding
technology can be realistically met. As Pettenati et al. (2001) noted, too many
expectations for faculty, without appropriate training and support, can create a
significant barrier to their use of technology.
Data from the study revealing limited or no improvement in the knowledge
levels of staff over the five-year period sends a clear message to university
administrators about the importance of continued professional development. Shrumm
(1999) noted that anyone who has struggled to learn about technology, or who has
taught others to use it, realises that brief exposure does not provide sufficient training or
practice to incorporate technology into teaching. She maintains that learning about
technology can be a life-changing event that is qualitatively different to learning other
245
new skills, knowledge and activities. Yet according to Ertmer and Hruskocy (1999) a
common misconception held by administrators and leaders of change is that once an
innovation has been introduced and initial training completed, the intended user will put
the innovation into practice. They warn that neither technical skills nor pedagogical
knowledge are likely to be fully integrated into teaching practice without ongoing
assistance and continued professional development.
In line with this view, Gess-Newsome et al. (2003) regard professional
development as a process, not an event. They maintain that professional development is
a “perennial challenge” in education and advise that it:
must be grounded within the context in which teaching takes place
must be developmentally appropriate and build on current concepts of teaching and
learning and goals and needs
can take 3-5 years of sustained effort to significantly impact on the teaching and
learning
must allow teachers to take charge of their own professional growth
must contain the elements that promote learning such as active social
engagement and collaboration that promotes change
In the context of continued technological change it is imperative that university
managers ensure that professional development remains central to university-wide
policies.
A further finding of interest to university managers related to staff preferences
for the delivery of professional development initiatives. Most staff in the study
expressed a preference for learning about technology through a faculty colleague
mentor. This preference may reflect the less than ideal situation that has arisen at many
universities where staff support has been provided by technology specialists who have
little understanding of pedagogy and curriculum issues. University managers, therefore,
need to appoint specialist staff with proven technological and pedagogical expertise who
can serve as role models to staff members. As the study indicated, though, no single
246
training method appeals to all. In order to address the learning needs and preferred
learning styles of staff, ongoing consultation is essential.
Another finding of relevance to university managers was the need among
academic staff for evidence that technologies can enhance learning. Understandably,
many academic staff remained sceptical about the merits of technology use in teaching.
They are aware that using new technologies does not automatically improve teaching
and realise that courses must be redesigned with references to pedagogical theories
(Williams, 2002). Yet, there have been many instances in higher education where the
use of technologies such as multimedia has stemmed more from an infatuation with
technology than a need for best practice (Felix & Askew, 1996). Walker and White
(2002) explain that such instances have been driven by ‘technophiles’ who have an
unrealistic and uncritical view of the potential value of technology. What university
managers need to ensure, then, is that decisions surrounding technology initiatives are
driven, not by technophiles, but by ‘technorealists’who are aware of both the pedagogic
potential and limitations of technology. The technorealist approach in teacher education
reasons that technology should only be used if it can facilitate powerful approaches to
teaching and learning based on meaningful, challenging, active and inquiry-based
applications (Walker & White, 2002).
A finding of further significance for university managers relates to the
perception among academic staff that teaching is undervalued. The vast majority of
1997 and 2002 staff personally valued teaching over research and publishing but still
believed that the university valued research and publishing above teaching. This finding
related to research in Australia by Hesketh et al. (1996) and Weeks (2000) who found a
reluctance on the part of university faculty to commit the time and effort required to use
technology in their teaching because of the second rate status accorded to teaching. The
message here for university managers is clear - if teaching staff are expected to change
their practices and embrace technology in their teaching, they need to know that
teaching is valued.
247
Implications for educational policy makers
Several of the study’s findings have significance for policy makers. These relate
primarily to the recommendations from staff and graduate teachers for improving
preservice teacher education and the comments from graduate teachers surrounding their
continued professional development needs.
In relation to how preservice teacher education could be improved, a number of
staff and graduate teachers commented that students required more exposure to
technology-using teachers whilst on practicum. It was also suggested that school
teachers visit the university to demonstrate how they used technologies in their own
classroom. In terms of school-based professional development activities, most graduate
teachers expressed the need for further training of some kind with a number
commenting that their school-based training had merely repeated what they had already
learnt at university.
Findings such as these point to the need for partnerships between universities,
government and non-government education agencies and schools. Collaborative
partnerships between these stakeholders can facilitate shared decision-making about the
specific roles, responsibilities and expectations of the individual partners as they relate
to the preparation of teachers. Such an approach would not only encourage the sharing
of expertise, it would minimise duplication in teachers’ preservice and later professional
development experiences.
Looking forward: Where to from here?
The study provided some valuable insights into this important area of
investigation. However, limitations in the scope and design of the study have meant that
many questions remain unanswered. Further research is needed if teacher education is to
keep pace with an uncertain and challenging future.
What we can be certain of is that technology is here to stay. With this in mind,
education systems at all levels must make a deliberate effort to prepare their students for
a technology-based society. The dilemma for teachers, lecturers, administrators and
educational policy makers, notes Spender (2002), is how to predict what the digital
248
world will look like in years to come. As noted by McDonald and Crotty (2000), the
hype surrounding future technologies is “denser than a Pentium 111 chip” (p. 53). In the
current context, it would seem that the only certainty is change.
In relation to education, Oliver (2002) forecasts that the influence of changing
technologies will increase considerably in years to come impacting on what is learned,
how it is learned, when and where learning takes place, and who is learning and who is
teaching. The general consensus surrounding universities is that technology will play a
large and growing role in the planning, development and delivery of the curriculum.
According to Oliver (2001), the challenge for universities will be to make decisions that
will set them on the preferred and appropriate path for the future.
In the context of continued change it is not possible to foreshadow specific
impacts on, and consequences for, teacher education. Much of the literature surrounding
technology integration in teacher education in the last 10 years has prioritised the need
for technological literacy. Research at that time revealed that technology literacy tended
to be measured in terms of word processing skills and the efficiency with which
individuals could gather vast amounts of information. This view of literacy, it seemed,
was more concerned with becoming proficient in the means to information, not in
creating meaning from that information with (Walker & Wright, 2002). Researchers
such as Walker and Wright (2002) claim that this mindset is not only limiting, it is not
forward thinking. They believe that many theories will be turned upside down as we
redefine learning and cognition in light of the rapid technological advances of this new
millennium.
While we cannot, with any certainty, predict future expectations surrounding
teacher education, we can ensure that future decisions and developments are informed
by continued research. If teachers and teacher educators are to capitalise on the potential
of new technologies to enhance teaching and learning, there is an urgent need for further
research to address the following key questions:
What pedagogic theories best underpin learning in these new environments?
With the benefit of hindsight, we now know that it is no longer enough to strive
for technological competency. What we must aim for is the use of technology in creative
249
and innovative ways that enhance the teaching and learning process. Rather than
conducting studies into the efficacy of technologies for teaching and learning, therefore,
we should re-focus our attention on the pedagogic potential of new technologies. We
need to know, for example, how technologies can be integrated to facilitate powerful
approaches to teaching and learning and how they can be used to support traditional
methods in teacher education.
How are technologies being used in teaching?
Although we know that academic staff and graduate teachers are increasingly
incorporating technologies into their teaching practice we need to know more about the
ways in which technologies are being used. While surveys can help shed light on
perceptions, they are not always a reliable source of information on actual practices.
More appropriate sources of information for this purpose are observations and
interviews.
How effective are professional development opportunities?
Central to technology integration for both academic staff and graduate teachers
is effective and ongoing professional development. We need further research into the
nature of professional opportunities that are on offer to academic staff and teachers. For
instance, more information is required on the types of professional development
opportunities available to academic staff and graduate teachers, the strategies used to
deliver training programs (such as mentoring, workshops, online modules) and the
incentives (such as time out from teaching, a learning credential, monetary reward)
provided to participate in programs. Also needed is qualitative information on how
professional development initiatives met the participants’ needs, how initiatives could
be improved and the continued professional development requirements of individuals.
Given the widely documented potential of using technology mentors, we need more
rigorous evaluation of mentoring programs in this area.
How effective are technology-based teaching and learning initiatives?
We also need extensive and rigorous evaluations of technology initiatives.
Although positive attitudes or increased motivation among students may encourage
better learning outcomes, they are by no means evidence of improved learning. Without
250
scholarly evaluation, even well designed innovations are unlikely to achieve wider
dissemination while the potential benefits for learning are likely to remain unrealised
(Alexander, 1999). Evaluations, if they are to be effective, must take into account both
learners’ and teachers’ accounts and involve both qualitative and quantitative
techniques.
CONCLUSION
This research revealed that in the context of changing technologies and new
ways of thinking about teaching and learning at the university, many academic staff had
made significant gains in their usage of technologies across the five-year period. It is
likely, however, that much of this gain has been ad-hoc due to the lack of consistent
policies, strategies and support systems surrounding technology integration. For the
Faculty and policy makers at the university, this remains an ongoing challenge.
Without a crystal ball it is impossible to foreshadow the precise nature and
impact of future technological innovations. Likewise, expectations of teachers and
teacher educators in light of these developments are difficult to predict. Although there
is a widely held assumption that children are technologically savvy individuals whose
knowledge of technologies far exceeds that of their teachers, such claims are usually
anecdotal and rarely supported by research. Underpinning future planning for teacher
education should be a greater understanding of children’s technological skills, their
attitudes towards technologies, the ways in which they interact with various
technologies, and their ability to use technologies to achieve particular learning goals.
While we cannot determine the future we can ensure that new initiatives and
new ways of thinking and doing are grounded in extensive and scholarly research. Only
then, with systemic staff supports, can the true potential of technology be realised.
251
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APPENDIX A
PHASE 1 (1997) ACADEMIC STAFF QUESTIONNAIRE
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TEACHING AND LEARNING IN THE INFORMATION AGE SECTION A: THIS SECTION OF THE QUESTIONNAIRE SEEKS BACKGROUND INFORMATION. PLEASE RESPOND TO EACH QUESTION BY PLACING A TICK IN THE CORRECT RESPONSE BOX. A1. What is your gender? Female [ ] Male [ ] A2. What is your main teaching area? Early Childhood [ ] Primary [ ] A3. How many years have you been teaching in higher education? 0-2 years [ ] 5-10 years [ ] 2-5 years [ ] 10+ years [ ] A4. Do you own a computer? Yes [ ] No[ ] A5. If you own a computer, does it have a CD-ROM drive? Yes[ ] No [ ] A6. If you own a computer, do you have a modem? Yes [ ] No [ ] SECTION B: THIS SECTION OF THE QUESTIONNAIRE SEEKS INFORMATION ON A RANGE OF ISSUES RELATED TO THE COMPUTER-BASED TECHNOLOGIES DESCRIBED BELOW. PLEASE READ THESE DESCRIPTIONS AND THEN ANSWER EACH QUESTION AS INDICATED. Computer-Assisted instruction (CAI) refers to basic, independent and self-paced computer-aided learning programs which are generally linear in format and do not feature sound or video. CAI is often used for exams and drill and practice exercises. Multimedia (as exemplified by CD-ROMS) is a relatively new computer-based technology. Multimedia programs which can be highly interactive in nature and feature combinations of text, sound, animation, video, and graphics. Multimedia/ CD-ROM computers do not necessarily have Internet access. Audiographics refers to the simultaneous use of telephones and computers to link people (for example, groups of students and teachers) at a distance. The Internet is an information source best known for the World-Wide-Web. You do not need a Multimedia/ CD-ROM computer to access the Internet but you do need to be 'on-line' or networked to a site. Electronic Mail or E-mail refers to the computerised communication system which enables people to receive and send messages via their computers.
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B1. How would you rate your level of knowledge for each of the following computer-based technologies? (Place a TICK in the appropriate column)
Technology Not literate
Novice
Intermediate
Advanced
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B2. If you have any knowledge of these technologies, how was this knowledge developed? (Place a TICK in the appropriate column).
Technology
Self-taught
Help from Colleagues
Work-based training
Professional Training
other-please describe
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B3. How confident are you about using the following computer-based technologies in your teaching? (Place a TICK in the appropriate column)
Technology Not at all Confident
Not Confident
Confident
Very Confident
CAI
Multimedia
Audiographics
Internet
Electronic Mail
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B4. How difficult do you think the following computer-based technologies are to use? (Place a TICK in the appropriate column)
Technology Not at all Difficult
Not Difficult
Difficult
Very Difficult
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B5. How frequently do you use each of the following computer-based technologies in your teaching? (Place a TICK in the appropriate column)
Technology never
once a semester
monthly
Fort- nightly
weekly
daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B6. How frequently do you use each of the following computer-based technologies for academic activities other than teaching? (Place a TICK in the appropriate column)
Technology never
once a semester
monthly
Fort- nightly
weekly
daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B7. If you do make use of these computer-based technologies for teaching and non-teaching activities, please provide some examples of how they are used. Teaching:___________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
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Non-Teaching:______________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ B8. Do you anticipate any changes in how often you will use the following computer-based technologies for teaching? (Place a TICK in the appropriate column)
Technology Decrease No Change Increase
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B9. Would you like to see any change in how often you use these computer-based technologies in your teaching? (Place a TICK in the appropriate column)
Technology Less Use
No Change
More Use
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B10. Rank order the following five technologies according to how useful they are to your teaching. (Place a 1 beside the technology that you feel is the most useful to your teaching, 2 beside 2nd most useful technology and so on) RANK CAI [ ] Multimedia [ ] Audiographics [ ] Internet [ ] Electronic mail [ ] B11. How important do you think the following computer-based technologies are to the
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delivery of university education? (Place a TICK in the appropriate column)
Computer-based Technology
Not Important
Reasonably Important
Very Important
CAI
Multimedia
Audiographics
Internet
Electronic Mail
SECTION C: THIS SECTION OF THE QUESTIONNAIRE CONCERNS THE USE OF COMPUTER-BASED TECHNOLOGIES IN PRESERVICE EDUCATION. PLEASE RESPOND TO THE QUESTIONS AS INDICATED. C1. How important do you feel it is for preservice teachers to be prepared in the use of a range of computer-based technologies? (CIRCLE the number that best represents how you feel) Not Not Very Very Extremely Important Important Important Important Important 1 2 3 4 5 Why?______________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C2. Rank-order the following technologies according to how important you think they are to early childhood and primary teacher preparation. (Place 1 beside the technology that you feel is most important; 2 beside the technology that is second in importance, and so on) RANK CAI [ ] Multimedia [ ] Audiographics [ ] Internet [ ] Electronic mail [ ] C3. How well do you feel Bachelor of Education (Early Childhood and Primary Teaching) students at your university are prepared for using computer-based technologies in their
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teaching? (CIRCLE the number that best represents how you feel) Not Not very well Adequately Well Very well prepared prepared prepared prepared prepared 1 2 3 4 5 C4. Which do you think should be responsible for preparing preservice teachers to use computer-based technologies? (TICK the most appropriate response) 1. Schools [ ] 2. Universities [ ] 3. Both schools and universities [ ] SECTION D: THIS SECTION OF THE QUESTIONNAIRE SEEKS INFORMATION ON A RANGE OF ISSUES RELATED TO COMPUTER-BASED MULTIMEDIA TECHNOLOGY. PLEASE ANSWER THE QUESTIONS AS INDICATED. D1. Some claim that different forms of instruction offer certain advantages to students. Read the following statements (below left) about some of these advantages and TICK the option that you feel best matches each statement. For example, if you feel that lectures are more motivating than multimedia-delivered instruction, TICK in the column below 'Lecture'. If you feel they are similarly motivating, tick in the column below to 'Same'.
Traditional Lecture
Multimedia-delivered instruction
Same
Undecided
Offers flexible study options Offers more control
Is more interactive
Is more motivating
Is more interesting
Is more effective
Accommodates varied learning styles
Provides more feedback.
D2. What do you feel are the advantages of using computer-based multimedia technology in the delivery of higher education?
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___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ D3. What do you feel are the disadvantages of using computer-based multimedia technology in the delivery of higher education? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ Please indicate the extent to which you agree or disagree with the following statements about the use of computer-based multimedia technology. CIRCLE the number that best represents how you feel. D4. Equipment for using multimedia technology is readily available in my department. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D5. The use of multimedia in teaching can improve student learning. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D6. The use of multimedia in teaching can improve student interest. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D7. Multimedia technology would be easy to integrate into my subject. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D8. Examples of quality multimedia programs are readily available. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D9. Training in the use of multimedia technology is readily available where I work. Strongly Strongly
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Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D10. I have enough time to learn about using multimedia technology. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D11. Where I work technical advice and support is available for using multimedia technology. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D12. The use of multimedia technology in teaching is supported by my faculty. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D13. I feel comfortable about using multimedia technology in my teaching. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D14. The use of multimedia technology in teaching would contribute to my chances of promotion or tenure. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D15. Multimedia technology integration is necessary for universities to remain competitive. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D16. Multimedia technology should play a growing role in the delivery of university education. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D17. I feel pressured to use multimedia technology in my teaching. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D18. I feel that pressure to use multimedia technology would undermine my abilities as a teacher.
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Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D19. I am consulted about whether or not I want to use multimedia technology in my teaching. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 D20. To what extent would the following factors be incentives for using computer-based multimedia technology in teaching? (For each statement, place a TICK in the appropriate column)
FACTOR
No incentive
Moderate incentive
Significant incentive
Available equipment/resources
Evidence of improved learning
Evidence improved student interest
Easy to integrate into subject
Available quality materials
Availability of training
Time out to learn technology
Available technical advice/support
Support from faculty
Comfort with technology
Contribution to promotion/tenure
D21. Can you think of any other incentives to your use of computer-based multimedia technology in teaching? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
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D22. To what extent are the following factors barriers to your use of computer-based multimedia technology? (For each statement, place a TICK in the appropriate column)
FACTOR
Not a barrier
Moderate barrier
Significant barrier
Lack of equipment/resources
No evidence of improved learning
No evidence improved student interest
Difficult to integrate into subject
Lack of quality materials
Lack of training options
No time to learn to use technology
Lack of technical advice/support
Lack of faculty support
Discomfort using technology
Doesn't contribute to promotion/tenure
D23. Can you think of any other barriers to your use of computer-based multimedia technology in teaching? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ SECTION E: THIS FINAL SECTION OF THE QUESTIONNAIRE IS CONCERNED WITH YOUR PERCEPTIONS OF SOME OF THE ACADEMIC ACTIVITIES UNDERTAKEN IN YOUR WORKPLACE. PLEASE ANSWER EACH QUESTION AS INDICATED. E1. Rank the following activities according to how you feel they are valued in your workplace. (Place 1 beside the activity that you feel is valued most. Place 2 beside the activity that is second in value, and 3 beside the activity that you feel is valued least) RANK Teaching [ ] Research [ ] Publishing [ ]
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E2. Rank the following activities according to how you feel they should be valued in your workplace. (Place 1 beside the activity that you feel should be valued valued most. Place 2 beside the activity that should be second in value, and 3 beside the activity that you feel should be valued least) RANK Teaching [ ] Research [ ] Publishing [ ] Please indicate the extent to which you agree or disagree with the following statements. (For each statement, CIRCLE the number that best represents how you feel) E3. Innovation in teaching deserves greater recognition. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5 E4. Greater recognition for teaching would encourage me to use technology in teaching. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5
Thankyou for completing the questionnaire. Your time and effort is very much appreciated.
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APPENDIX B
PHASE 1 (1997) GRADUATE TEACHER QUESTIONNAIRE
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TEACHING AND LEARNING IN THE INFORMATION AGE SECTION A: THIS SECTION OF THE QUESTIONNAIRE SEEKS BACKGROUND INFORMATION. PLEASE RESPOND TO EACH QUESTION BY PLACING A TICK IN THE CORRECT RESPONSE BOX WHERE APPROPRIATE, OR BY PROVIDING THE ANSWER. A1. What is your gender? Female [ ] Male [ ] A2. What was your age on your last birthday?______________________ A3. Please indicate your preservice training specialisation. Early Childhood [ ] Primary [ ] A4. How many months / years have you been teaching?________________________ A5. Do you own a computer? Yes[ ] No[ ] A6. If you own a computer, does it have a CD-ROM drive? Yes[ ] No[ ] A7. If you own a computer, do you also have a modem? Yes[ ] No[ ] SECTION B: THIS SECTION OF THE QUESTIONNAIRE SEEKS INFORMATION ON A RANGE OF ISSUES RELATING TO THE USE OF COMPUTER-BASED TECHNOLOGIES IN YOUR WORK. DESCRIPTIONS OF THESE TECHNOLOGIES ARE PROVIDED BELOW. PLEASE READ THE DESCRIPTIONS THEN RESPOND TO EACH QUESTION AS INDICATED. Computer-Assisted Instruction or CAI refers to basic, independent and self-paced computer-aided learning programs which are generally linear in format and do not feature sound or video. CAI is often used for exams and drill and practice exercises. Multimedia (as exemplified by CD-ROMS) is a relatively new computer-based technology. Multimedia programs which can be highly interactive and feature combinations of sound, animation, video, graphics and text. Multimedia/ CD-ROM computers do not necessarily have Internet access. Audiographics refers to the simultaneous use of telephones and computers to link people (for example, groups of students and teachers) at a distance. The Internet is an information source best known for the World-Wide-Web. You do not need a Multimedia/ CD-ROM computer to be able to access the Internet but you do need to be 'on-line' or networked to a site. Electronic Mail or E-mail refers to the computerised communication system which enables people to receive and send messages via their computers.
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B1. How would you rate your knowledge of the following computer-based technologies? (Place a TICK in the appropriate column)
Technology
Not Literate
Novice
Intermediate
Advanced
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B2. If you have any knowledge of these technologies, how was this knowledge developed? (Place a TICK in the appropriate column)
Technology
Self-taught
Help from colleagues
Work-based training
Preservice Teacher Education
Other (please describe)
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B3. How confident are you about using the following computer-based technologies in your work? (Place a TICK in the appropriate column)
Computer-based Technology
Not at all onfident
Not Confident
Confident Very Confident
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B4. How often do you use the following computer-based technologies in your
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classroom teaching? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B5. How often do you use the following computer-based technologies in your work (not including classroom teaching)? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B6. If you use any of these computer-based technologies in your teaching and non-teaching activities, please provide some examples of how they are used. Teaching:___________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ Non-teaching: ___________________________________________________________________________ __________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ B7. Do you anticipate any changes in how often you will use the following computer-based technologies for work? (Place a TICK in the appropriate column)
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Technology Decrease
No change
Increase
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B8. Would you like to see any change in how often you use these computer-based technologies in your work? (Place a TICK in the appropriate column)
Technology Less use
No change
More use
CAI
Multimedia
Audiographics
Internet
Electronic Mail
B9. Rank-order the following computer-based technologies according to how useful you feel they are to your work. (Place 1 beside the technology that you feel is the most useful; 2 beside the second most useful technology and so on) RANK CAI [ ] Multimedia [ ] Audiographics [ ] Internet [ ] Electronic mail [ ] B10. In relation to multimedia technology, what do you feel are the advantages and disadvantages of using this technology in your work? Advantages: ________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ Disadvantages: _____________________________________________________________
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___________________________________________________________________________ ___________________________________________________________________________ B11. Can you identify any existing or potential barriers to your use of multimedia technology for work? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ SECTION C: THIS SECTION OF THE QUESTIONNAIRE RELATES TO YOUR RECENT EXPERIENCES WITH COMPUTER-BASED TECHNOLOGIES AT UNIVERSITY. PLEASE RESPOND TO EACH QUESTION AS INDICATED. C1. How often did you encounter teaching staff using the following computer-based technologies in teaching? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
C2. How often did you use the following computer-based technologies at university? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
CAI
Multimedia
Audiographics
Internet
Electronic Mail
C3. If you or teaching staff used these computer-based technologies, please provide some examples of how they were used.
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___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C4. How important do you think the following computer-based technologies are to the delivery of university education in general? (Place a TICK in the appropriate column)
Technology Not important
Reasonably important
Very important
CAI
Multimedia
Audiographics
Internet
Electronic Mail
C5. Do you think there should be any change in how often the following computer-based technologies are used in university teaching? (Place a TICK in the appropriate column)
Technology Less use
More use
No change
Undecided
CAI
Multimedia
Audiographics
Internet
Electronic Mail
C6. How important is it for preservice teachers to be prepared in the use of a range of computer-based technologies? (CIRCLE the number that best represents how you feel) Not Not very Very Extremely Important Important Important Important Important 1 2 3 4 5 Why?______________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C7. Throughout your preservice education, what subjects did you study that focused on
290
the use of computer-based technologies in school teaching? (Please indicate whether these were core subjects or electives) ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C8. RANK-ORDER the following technologies according to how important you think they are to early childhood and primary teacher preparation. (Place 1 beside the technology that you feel is most important; 2 beside the technology that is second in importance, and so on) RANK CAI [ ] Multimedia [ ] Audiographics [ ] Internet [ ] Electronic mail [ ] C9. How well do you feel Bachelor of Education (Early Childhood and Primary teaching) students at QUT are prepared for using computer-based technologies in their teaching? (CIRCLE the number that best represents how you feel) Not Not very well Adequately Well Very well prepared prepared prepared prepared prepared 1 2 3 4 5 C10. Which do you think should be responsible for preparing preservice teachers to use computer-based technologies? (TICK the most appropriate response) 1. Schools [ ] 2. Universities [ ] 3. Both schools and universities [ ] C11. Some claim that different forms of instruction offer certain advantages to students. Read the following statements (below left) about some of these advantages and TICK
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the option that you feel best matches each statement. For example, if you feel that lectures are more motivating than multimedia-delivered instruction, TICK in the column below 'Lecture'. If you feel they are similarly motivating, tick in the column below to 'Same'.
Traditional Lecture
Multimedia-delivered instruction
Same
Undecided
Offers flexible study options Offers more control
Is more interactive
Is more motivating
Is more interesting
Is more effective
Accommodates varied learning styles
Provides more feedback.
C12. From a student perspective, what do you feel are the advantages (if any) of using multimedia technology in the delivery of university education? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C13. From a student perspective, what do you feel are the disadvantages (if any) of using multimedia technology in the delivery of university education? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
Thank you for completing the questionnaire. Your time and effort is very much appreciated.
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APPENDIX C
PHASE 2 (2002) ACADEMIC STAFF QUESTIONNAIRE
293
TEACHING AND LEARNING IN THE INFORMATION AGE
SECTION A: THIS SECTION OF THE QUESTIONNAIRE SEEKS BACKGROUND INFORMATION. PLEASE RESPOND TO EACH QUESTION BY PLACING A TICK IN THE APPROPRIATE RESPONSE BOX. A1. What is your gender? Female [ ] Male [ ] A2. What is your main teaching area? Early Childhood [ ] Primary [ ] A3. How many years have you been teaching in higher education? 0-2 years [ ] 2-5 years [ ] 5-10 years [ ] 10+ years [ ] A4. Do you own a computer at home? Yes [ ] No [ ] A5. If you own a computer, does it have: a CD-ROM drive? Yes [ ] No [ ] a modem? Yes [ ] No [ ] SECTION B: THIS SECTION OF THE QUESTIONNAIRE SEEKS INFORMATION ON A RANGE OF ISSUES RELATED TO THE COMPUTER-BASED TECHNOLOGIES DESCRIBED BELOW. PLEASE READ THESE DESCRIPTIONS AND THEN ANSWER EACH QUESTION AS INDICATED. Multimedia (as exemplified by CD-ROMS) refers to programs that can be highly interactive in nature and feature combinations of text, sound, animation, video, and graphics. Multimedia/CD-ROM computers do not necessarily have Internet access. Audio or Videoconferencing refers to the simultaneous use of telephones, videos and computers to link people (for example, groups of students and teachers) at a distance. The Internet is an information source best known for the World-Wide-Web. You do not need a Multimedia/ CD-ROM computer to access the Internet but you do need to be 'on-line' or networked to a site. E-mail refers to the computerised communication system that enables people to receive and send messages via their computers. OLT refers to unit specific lecture notes and resources available through QUT’s online system. B1. How would you rate your level of knowledge for each of the following technologies? (Place a TICK in the appropriate column)
Technology Not literate
Novice
Intermediate
Advanced
Multimedia Audio/ videoconferencing
Internet
OLT
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B2. If you have any knowledge of these technologies, how was this knowledge developed? (Place a TICK in the appropriate column)
Technology
Self-taught
Help from colleagues
Work-based training
Professional training
other-please comment
Multimedia Audio/ videoconferencing
Internet
OLT B3. In relation to work-based training, how would you prefer to learn about incorporating technologies in your teaching? (Please RANK-ORDER the following options by placing a 1 beside the most desirable option, 2 beside the 2nd most desirable option and so on) Group workshops [ ] On-line tutorials [ ] Faculty colleague mentor program [ ] Faculty technology coordinator [ ] B4. How confident are you about using the following technologies in your teaching activities? (Place a TICK in the appropriate column)
Technology
Not at all confident
Not confident
Confident
Very confident
Multimedia Audio/ videoconferencing
Internet
OLT B5. How frequently do you use each of the following technologies in your teaching?
Technology never
once a semester monthly
fort-nightly weekly daily
Multimedia Audio/ videoconferencing
Internet
OLT
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B6. How frequently do you use each of the following technologies in your other academic activities? (Place a TICK in the appropriate column)
Technology
never
once a semester monthly
fort-nightly
weekly
daily
Multimedia Audio/ videoconferencing
Internet
OLT
B7. Please provide some examples of how you make use of these technologies for teaching and other academic activities. ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ B8. Would you like to make more use, less use or see any change in how often you use these technologies in your teaching? (Place a TICK in the appropriate column)
Technology Less use
No change
More use
Multimedia
Audio/videoconferencing
Internet
OLT
B9. In the last 3 years, what impact have computer-based technologies had on your work? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
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SECTION C: THIS SECTION CONCERNS THE USE OF COMPUTER-BASED TECHNOLOGIES IN PRESERVICE EDUCATION. PLEASE RESPOND TO THE QUESTIONS AS INDICATED. C1. Rank-order the following technologies according to how important you think they are to early childhood and primary teacher preparation. (Place 1 beside the technology that you feel is most important; 2 beside the technology that is second in importance, and so on) Multimedia [ ] Audio/videoconferencing [ ] Internet [ ] Email [ ] C2. How well do you feel Bachelor of Education (Early Childhood and Primary Teaching) students at your university are prepared for using computer-based technologies in their teaching? (CIRCLE the number that best represents how you feel) Not Not very well Adequately Well Very well prepared prepared prepared prepared prepared 1 2 3 4 5 C3. How do you think this preparation could be improved? Please comment. ____________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ SECTION D: WITH REGARD TO COMPUTER-BASED MULTIMEDIA TECHNOLOGY, PLEASE ANSWER THE FOLLOWING QUESTIONS AS INDICATED. D1. If you wanted to use computer-based multimedia in your teaching, to what extent would the following factors be incentives? (For each statement, place a TICK in the appropriate column)
FACTOR
No incentive
Moderate incentive
Significant incentive
Available equipment/resources
Evidence of improved learning
Evidence improved student interest
Easy to integrate into subject
Available quality materials
Availability of training
Time out to learn technology
Available technical advice/support
Support from faculty
Comfort with technology
Contribution to promotion/tenure
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D2. If you wanted to use computer-based multimedia in your teaching, to what extent would the following factors be barriers? (For each statement, place a TICK in the appropriate column)
FACTOR
Not a barrier
Moderate barrier
Significant barrier
Lack of equipment/resources
No evidence of improved learning
No evidence improved student interest
Difficult to integrate into subject
Lack of quality materials
Lack of training options
No time to learn to use technology
Lack of technical advice/support
Lack of faculty support
Discomfort using technology
Doesn't contribute to promotion/tenure
D3. Can you think of any other incentives or barriers to your use of computer-based multimedia technology in teaching? Incentives: ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ Barriers ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
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SECTION E: THIS FINAL SECTION IS ABOUT YOUR PERCEPTIONS OF SOME OF THE ACADEMIC ACTIVITIES UNDERTAKEN IN YOUR WORKPLACE. PLEASE ANSWER EACH QUESTION AS INDICATED. E1. Rank the following activities according to how you feel they are valued in your workplace. (Place 1 beside the activity that you feel is valued most, 2 beside the activity that is second in value and 3 beside the activity that you feel is valued least) Teaching [ ] Research [ ] Publishing [ ] E2. Rank the following activities according to how you feel they should be valued in your workplace. (Place 1 beside the activity that you feel should be valued most, 2 beside the activity that should be second in value and 3 beside the activity that you feel should be valued least) Teaching [ ] Research [ ] Publishing [ ] Please indicate the extent to which you agree or disagree with the following statement. (CIRCLE the number that best represents how you feel) E3. Greater recognition for teaching would encourage me to use technology in teaching. Strongly Strongly Agree Agree Neutral Disagree Disagree 1 2 3 4 5
______________________________________________
Thank you for completing the questionnaire. Your time and effort is much appreciated.
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APPENDIX D
PHASE 2 (2002) GRADUATE TEACHER QUESTIONNAIRE
300
TEACHING AND LEARNING IN THE INFORMATION AGE
SECTION A: THIS SECTION OF THE QUESTIONNAIRE SEEKS BACKGROUND INFORMATION. PLEASE RESPOND TO EACH QUESTION BY PLACING A TICK IN THE CORRECT RESPONSE BOX WHERE APPROPRIATE, OR BY PROVIDING THE ANSWER. A1. What is your gender? Female [ ] Male [ ] A2. What was your age on your last birthday? ______________________ A3. What is your preservice training specialisation? Early Childhood [ ] Primary [ ]
A4. What age group of children are you currently teaching? ______________________ A5. How many months / years have you been teaching? _______________________ A6. Do you own a computer? Yes [ ] No [ ] A7. If you own a computer, does it have: a) CD-ROM drive? Yes [ ] No [ ] b) a modem? Yes [ ] No [ ] SECTION B: THIS SECTION SEEKS INFORMATION ON A RANGE OF ISSUES RELATING TO THE USE OF COMPUTER-BASED TECHNOLOGIES IN YOUR WORK. DESCRIPTIONS OF THESE TECHNOLOGIES ARE PROVIDED BELOW. PLEASE READ THE DESCRIPTIONS THEN RESPOND TO EACH QUESTION AS INDICATED. Multimedia (as exemplified by CD-ROMS). Multimedia programs can be highly interactive and feature combinations of sound, animation, video, graphics and text. Multimedia/ CD-ROM/DVD computers do not necessarily have Internet access. Audio or Videoconferencing refers to the simultaneous use of telephones, computers and/or video to link people (for example, groups of students and teachers) at a distance. The Internet is an information source best known for the World-Wide-Web. You do not need a Multimedia/ CD-ROM computer to be able to access the Internet but you do need to be 'on-line' or networked to a site. E-mail refers to the computerised communication system that enables people to receive and send messages via a computer. OLT Units: These are unit-specific lecture notes and resources available through QUT’s online teaching and learning system.
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B1. How would you rate your knowledge of the following technologies? (Place a TICK in the appropriate column)
Technology
Not Literate
Novice
Intermediate
Advanced
Multimedia Audio/ Videoconferencing
Internet
B2. If you have any knowledge of these technologies, how was this knowledge developed? (Place a TICK in the appropriate column)
Technology
Self-taught
Help from colleagues
Work-based training
Preservice Teacher Education
Other (please describe)
Multimedia Audio/ Videoconferencing
Internet
B3. How confident are you about using the following technologies in your classroom teaching? (Place a TICK in the appropriate column)
Technology
Not at all confident
Not confident Confident Very confident
Multimedia Audio/ videoconferencing
Internet
B4. How often do you use the following technologies in your classroom teaching? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
Multimedia Audio/ videoconferencing
Internet
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B5. Do you anticipate any changes in how often you will use the following technologies in your teaching? (Place a TICK in the appropriate column)
Technology Less use
No change
More use
Multimedia
Audio/Videoconferencing
Internet
B6. Please indicate (by ticking the appropriate boxes) the computer activities that you and the children in your class/group engage in: Get information from a CD-ROM [ ] Get information from Internet/web [ ] Use computerised library catalogue [ ] Create graphs or diagrams [ ] Use spreadsheets & databases [ ] Creative writing [ ] Create pictures [ ] Make music or sound [ ] Send and receive email [ ] Communicate with other schools [ ] Take part in an online chat group [ ] Take part in a video conference [ ] Use an educational program or game to help children learn [ ] B7. At your centre/school are opportunities for training in the use of technologies available? Yes [ ] No [ ] Please describe any types of training made available: ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ B8. If you have participated in any such training were you satisfied with it? Yes [ ] No [ ] Please comment: ____________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________
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B9. In what area/s would you most like to be trained in? ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ B10. Which of the following factors, if any, are barriers to your use of computer-based technologies in your teaching? (Please tick those which represent barriers) Lack of equipment/resources [ ] Difficult to integrate into curriculum [ ] No evidence of improved child learning [ ] No evidence of improved child interest [ ] Lack of quality teaching materials [ ] Lack of training options [ ] No time to learn to use technology [ ] Lack technical advice/support [ ] Lack of school/centre support [ ] Discomfort using technology [ ] Can you think of any other barriers? (Please comment) ___________________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ SECTION C: THIS SECTION RELATES TO YOUR EXPERIENCES WITH COMPUTER-BASED TECHNOLOGIES WHEN YOU ATTENDED UNIVERSITY. PLEASE RESPOND TO EACH QUESTION AS INDICATED. C1. How often did teaching staff use the following technologies in teaching? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
Multimedia
Audio/ videoconferencing
Internet
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C2. How often did you use the following technologies at university? (Place a TICK in the appropriate column)
Technology never once a semester monthly
fort-nightly weekly daily
Multimedia
Audio/ videoconferencing
Internet
C3. When you were at university, how did you or teaching staff use these technologies? (please provide some examples of how they were used) __________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ ___________________________________________________________________________ C4. Do you think there should be any change in how often the following technologies are used in university teaching? (Place a TICK in the appropriate column).
Technology
Less use No change
More use
Multimedia
Audio/videoconferencing
Internet
C4. RANK-order the following technologies according to how important you think they are to early childhood and primary teacher preparation (Place 1 beside the technology that you feel is most important; 2 beside the technology that is second in importance, and so on) Multimedia [ ] Teleconferencing [ ] Internet [ ] Email [ ]
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C5. How well do you feel Bachelor of Education (Early Childhood and Primary teaching) students at QUT are prepared for using computer-based technologies in their teaching? (CIRCLE the number that best represents how you feel). Not Not very well Adequately Well Very well prepared prepared prepared prepared prepared 1 2 3 4 5 C6. How do you think this preparation could be improved? (Please comment) ___________________________________________________________________________ ___________________________________________________________________________ _________________________________________________________________________ _________________________________________________________________________ __________________________________________________________________
Thank you for completing this questionnaire. Your time and effort is much appreciated.
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APPENDIX E
TABLES OF ACADEMIC STAFF FINDINGS
E.1 Knowledge of Technologies: 1997 and 2002
E.2 Source of Knowledge of Technologies: 1997 and 2002
E.3 Difficulty Using Technologies in Teaching: 1997
E.4 Confidence Using Technologies in Teaching: 1997 and 2002
E.5 Frequency of Technology Use in Teaching: 1997 and 2002
E.6 Frequency of Technology Use in Non-Teaching: 1997 and 2002
E.7 Importance of Technologies to Higher Education: 1997
E.8 Rankings for Usefulness of Technologies to Teaching: 1997
E.9 Anticipated Future Use of Technologies in Teaching: 1997
E.10 Preferred Future Use of Technologies in Teaching: 1997 and 2002
E.11 Importance of Technologies to Teacher Preparation (rankings of 1): 1997 and
2002
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Table E.1 Knowledge of Technologies: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Not literate Novice Intermediate Advanced __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 30% (13) - - 28% (12) - - 23% (10) - - 14% (6) - Multimedia 28% (12) 10% (4) 30% (13) 33% (13) 30% (13) 45% (18) 12% (5) 13% (5) Conferencing technologies 51% (22) 20% (8) 26% (11) 30% (12) 21% (9) 43% (17) 2% (1) 8% (3) Internet 2% (1) 0% (0) 26% (11) 8% (3) 44% (19) 45% (18) 28% (12) 48% (19) Email 0% (0) 0% (0) 9% (4) 3% (1) 49% (21) 35% (14) 42% (18) 63% (15) OLT - - 8% (3) - - 18% (7) - - 45% (18) - - 30% (12) ____________________________________________________________________________________________________________ 1997 n = 43, 2002 n = 40 Table E.2 Source of Knowledge of Technologies: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Self-taught Help from colleagues Work-based training Professional training Other ______________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 42% (18) - - 19% (8) - - 2% (1) - - 7% (3) - 7% (3) - Multimedia 49% (21) 58% (23) 26% (11) 38% (15) 5% (2) 10% (4) 5% (2) 5% (2) 9% (4) 0% (0) Conferencing technologies 26% (11) 25% (10) 26% (11) 43% (17) 9% (4) 20% (8) 5% (2) 0% (0) 2% (1) 0% (0) Internet 44% (19) 80% (32) 44% (19) 38% (15) 30% (13) 13% (5) 7% (3) 0% (0) 5% (2) 5% (2) Email 51% (22) 78% (31) 51% (22) 38% (15) 33% (14) 10% (4) 7% (3) 0% (0) 2% (1) 3% (1) OLT - - 38% (15) - - 55% (22) - - 50% (20) - - 3% (1) - - 3% (1) ____________________________________________________________________________________________________________ 1997 n = 42-43, 2002 n = 40
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Table E.3 Difficulty Using Technologies in Teaching: 1997 ____________________________________________________________________________________________________________ Technology Not at all Difficult Not Difficult Difficult Very Difficult ____________________________________________________________________________________________________________ CAI 16% (7) 49% (21) 21% (9) 7% (3) Multimedia 14% (6) 54% (23) 19% (8) 7% (3) Audiographics 5% (2) 47% (20) 33% (14) 7% (3) Internet 16% (7) 65% (28) 12% (5) 2% (1) Email 21% (9) 70% (30) 5% (2) 2% (1) ____________________________________________________________________________________________________________ 1997 n = 39-42 Table E.4 Confidence Using Technologies in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Not at all confident Not confident Confident Very confident __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 30% (13) - 28% (12) - 16% (7) - 21% (9) - Multimedia 23% (10) 13% (5) 28% (12) 20% (8) 30% (13) 43% (17) 19% (8) 23% (9) Conferencing technologies 33% (14) 15% (6) 40% (17) 33% (13) 19% (8) 38% (15) 5% (2) 8% (3) Internet 14% (10) 3% (1) 35% (15) 3% (1) 26% (11) 55% (22) 26% (11) 38% (15) Email 5% (6) 3% (1) 21% (9) 0% (0) 33% (14) 38% (15) 42% (18) 58% (23) OLT - - 5% (2) - - 8% (3) - - 45% (18) - - 40% (16) ____________________________________________________________________________________________________________ 1997 n = 41-43, 2002 n = 37-39
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Table E.5 Frequency of Technology Use in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Daily-weekly Fortnightly-monthly Once per semester Never __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 5% (2) - - 5% (2) - 16% (7) - 72% (31) - Multimedia 21% (9) 25% (10) 12% (5) 15% (6) 9% (4) 30% (12) 56% (24) 25% (10) Conferencing technologies 2% (1) 3% (1) 9% (4) 13% (5) 9% (4) 33% (13) 77% (33) 48% (19) Internet 28% (12) 55% (22) 9% (4) 20% (8) 7% (3) 15% (6) 56% (24) 5% (2) Email 40% (17) 83% (33) 9% (4) 10% (4) 5% (2) 0% (0) 44% (19) 5% (2) OLT - - 60% (24) - - 15% (6) - - 13% (5) 0% (0) 5% (2) ____________________________________________________________________________________________________________ 1997 n = 42-43, 2002 n = 37-39 Table E.6 Frequency of Technology Use in Non-Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Daily-weekly Fortnightly-monthly Once per semester Never __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 6% (3) - - 2% (1) - 9% (4) - - 79% (34) - Multimedia 21% (9) 28% (11) 5% (2) 23% (9) 21% (9) 20% (8) 53% (23) 25% (10) Conferencing technologies 5% (2) 3% (1) 0% (0) 13% (5) 14% (6) 30% (12) 77% (33) 50% (20) Internet 79% (34) 90% (36) 14% (6) 5% (2) 2% (1) 0% (0) 5% (2) 5% (2) Email 91% (39) 98% (39) 7% (3) 0% (0) 0% (0) 0% (0) 2% (1) 3% (1) ____________________________________________________________________________________________________________ 1997 n = 42-43, 2002 n = 37-39
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Table E.7 Importance of Technologies to Higher Education: 1997 ____________________________________________________________________________________________________________
Level of Importance __________________________________________________________________________________________ Technology Not important Reasonably important Very important ____________________________________________________________________________________________________________ CAI 23% (10) 54% (23) 19% (8) Multimedia 5% (2) 58% (25) 35% (15) Audiographics 7% (3) 56% (24) 33% (14) Internet 2% (1) 33% (14) 65% (28) Email 5% (2) 28% (12) 67% (29) ____________________________________________________________________________________________________________ n = 41-43 Table E.8 Rankings for Usefulness of Technologies to Teaching: 1997 ____________________________________________________________________________________________________________ Ranking
__________________________________________________________________________________________ Technology 1st 2nd 3rd 4th 5th ____________________________________________________________________________________________________________ CAI 5% (2) 7% (2) 9% (4) 19% (8) 44% (19) Multimedia 26% (11) 7% (2) 37% (16) 19% (8) 0% (0) Audiographics 7% (3) 19% (8) 14% (6) 23% (10) 23% (10) Internet 28% (12) 30% (23) 16% (7) 14% (6) 2% (1) Email 30% (13) 26% (11) 12% (5) 9% (4) 12% (5) ____________________________________________________________________________________________________________ n = 35-39
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Table E.9 Anticipated Future Use of Technologies in Teaching: 1997 ____________________________________________________________________________________________________________
Technology Less use No change More use ____________________________________________________________________________________________________________ CAI 5% (2) 63% (27) 30% (13) Multimedia 0% (0) 47% (20) 49% (21) Audiographics 2% (1) 58% (25) 37% (16) Internet 0% (0) 37% (16) 63% (27) Email 0% (0) 42% (18) 56% (24) ____________________________________________________________________________________________________________ n = 41-43 Table E.10 Preferred Future Use of Technologies in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________
Technology Less Use No Change More Use __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 5% (2) - 51% (22) - 44% (19) - Multimedia 0% (0) 0% (0) 26% (11) 43% (17) 74% (32) 55% (22) Conferencing technologies 0% (0) 5% (2) 42% (18) 45% (18) 58% (24) 45% (18) Internet 0% (0) 3% (1) 23% (10) 60% (24) 70% (30) 35% (14) Email 5% (2) 10% (4) 26% (11) 73% (29) 63% (27) 15% (6) OLT - - 0% (0) - - 45% (18) - - 53% (21) ____________________________________________________________________________________________________________ 1997 n = 40-43, 2002 n = 38-39
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Table E.11 Importance of Technologies to Teacher Preparation (rankings of 1): 1997 and 2002 _____________________________________________________________________________________ Technology 1997 2002
_____________________________________________________________________________________ CAI 0% (0) - Multimedia 28% (12) 23% (9) Conferencing technologies 2% (1) 5% (2) Internet 44% (19) 53% (21) Email 16% (7) 28% (11) _____________________________________________________________________________________ 1997 n = 38-39, 2002 n = 39-40
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APPENDIX F
TABLES OF GRADUATE TEACHER FINDINGS
F.1 Knowledge of Technologies: 1997 and 2002
F.1 Source of Knowledge of Technologies: 1997 and 2002
F.3 Confidence Using Technologies in Teaching: 1997 and 2002
F.4 Frequency of Technology Use in Teaching: 1997 and 2002
F.5 Frequency of Technology Use in Other Work: 1997
F.6 Ranking of Technologies According to Usefulness to Work: 1997 and 2002
F.7 Anticipated Future Use of Technologies in Teaching: 1997 and 2002
F.8 Preferred Future Use of Technologies in Teaching: 1997 and 2002
F.9 Frequency of Technology Use by Academic Staff: 1997 and 2002
F.10 Frequency of Technology Use by Self at University: 1997 and 2002
F.11 Importance of Technologies to Higher Education: 1997 and 2002
F.12 Preferred Change in use of Technologies in Higher Education: 1997 and 2002
F.12 Importance of Technologies to Teacher Preparation (rankings of 1): 1997 and
2002
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Table F. 1 Knowledge of Technologies: 1997 and 2002 ____________________________________________________________________________________________________________ Not literate Novice Intermediate Advanced __________________________________________________________________________________________ Technology 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 15% (11) - 29% (21) - 43% (31) - 12% (9) - Multimedia 15% (11) 4% (5) 18% (13) 29% (36) 53% (38) 43% (53) 14% (10) 19% (23) Conferencing technologies 60% (43) 40% (49) 25% (18) 39% (48) 14% (10) 14% (17) 1% (1) 2% (3) The Internet 26% (19) 0% (0) 38% (27) 7% (8) 29% (21) 51% (63) 7% (5) 37% (46) Email 29% (21) 0% (0) 29% (21) 4% (5) 39% (28) 51% (63) 3% (2) 40% (49) ____________________________________________________________________________________________________________ 1997 n = 72, 2002 n = 117 Table F.2 Source of Knowledge of Technologies: 1997 and 2002 ____________________________________________________________________________________________________________
Self-taught Help from colleagues Inservice course Preservice Education __________________________________________________________________________________________ Technology 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 51% (37) - 19% (14) - 6% (4) - 10% (7) - Multimedia 51% (37) 53% (65) 24% (17) 22% (27) 14% (10) 14% (17) 4% (3) 29% (36) Conferencing technologies 19% (14) 21% (26) 18% (13) 23% (28) 6% (4) 7% (9) 8% (6) 17% (21) Internet 38% (27) 63% (77) 28% (20) 27% (33) 13% (9) 8% (10) 3% (2) 34% (42) Email 35% (25) 63% (77) 25% (18) 27% (33) 4% (5) 7% (9) 18% (13) 33% (40) ____________________________________________________________________________________________________________ 1997 n = 67-71, 2002 n = 114-117
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Table F.3 Confidence Using Technologies in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Not at all Confident Not Confident Confident Very Confident
__________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 10% (7) - 24% (17) - 50% (36) - 17% (12) - Multimedia 11% (8) 4% (5) 19% (14) 17% (21) 54% (39) 42% (52) 15% (11) 31% (38) Conferencing technologies 39% (28) 34% (42) 35% (25) 38% (47) 24% (17) 18% (22) 1% (1) 4% (5) Internet 19% (14) 1% (1) 31% (22) 6% (7) 40% (29) 41% (50) 8% (6) 46% (57) Email 24% (17) 1% (1) 33% (24) 4% (5) 35% (25) 41% (50) 7% (5) 48% (59) ____________________________________________________________________________________________________________ 1997 n = 71-72, 2002 n = 114-116 Table F.4 Frequency of Technology Use in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Daily-Weekly Fortnightly-Monthly Once per Semester Never __________________________________________________________________________________________
1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 36% (25) - 15% (11) - 15% (11) - 31% (22) - Multimedia 49% (35) 50% (62) 17% (12) 18% (22) 7% (5) 9% (11) 28% (20) 15% (18) Conferencing technologies 3% (3) 6% (7) 7% (5) 4% (5) 4% (3) 9% (11) 83% (60) 73% (90) Internet 18% (13) 36% (34) 14% (10) 16% (20) 10% (7) 17% (21) 57% (41) 22% (27) Email 10% (7) 36% (32) 6% (4) 15% (19) 7% (5) 18% (23) 76% (55) 32% (39) ____________________________________________________________________________________________________________ 1997 n = 71-72, 2002 n = 112-113
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Table F. 5 Frequency of Technology Use in Other Work: 1997 ____________________________________________________________________________________________________________
Technology Daily-Weekly Fortnightly-Monthly Once per Semester Never ____________________________________________________________________________________________________________ CAI 28% (20) 18% (13) 13% (9) 40% (29) Multimedia 30% (22) 23% (16) 7% (5) 40% (29) Conferencing technologies 8% (6) 4% (3) 8% (6) 78% (56) Internet 22% (16) 18% (13) 7% (5) 52% (37) Email 21% (14) 12% (8) 7% (5) 60% (43) ____________________________________________________________________________________________________________ n = 71-72 Table F. 6 Rankings of Technologies According to Usefulness to Work: 1997 ____________________________________________________________________________________________________________
Rank ____________________________________________________________________________________________________________ Technology 1st 2nd 3rd 4th 5th
__________________________________________________________________________________________ CAI 17% (12) 15% (11) 22% (16) 15% (11) 25% (18) Multimedia 53% (38) 33% (24) 7% (5) 3% (2) 0% (0) Audiographics 1% (1) 6% (4) 19% (14) 33% (24) 35% (25) Internet 25% (18) 39% (28) 21% (15) 11% (8) 1% (1) Email 6% (4) 7% (5) 25% (18) 29% (21) 28% (20) ___________________________________________________________________________________________________________ n = 68-70
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Table F.7 Anticipated Future Use of Technologies in Teaching: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Less use No Change More use
1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 7% (5) - 49% (35) - 43% (31) - Multimedia 0% (0) 1% (1) 27% (20) 44% (54) 71% (51) 47% (58) Conferencing technologies 0% (0) 2% (2) 56% (40) 59% (73) 43% (31) 30% (37) Internet 0% (0) 2% (2) 29% (21) 33% (40) 69% (50) 59% (72) Email 0% (0) 2% (2) 39% (28) 34% (42) 58% (42) 57% (70) ____________________________________________________________________________________________________________ 1997 n = 70-71, 2002 n = 112-114 Table F. 8 Preferred Future Use of Technologies in Teaching: 1977 ____________________________________________________________________________________________________________ Technology Less use No Change More use ____________________________________________________________________________________________________________ CAI 4% (3) 38% (27) 58% (42) Multimedia 1% (1) 8% (6) 90% (65) Audiographics 1% (1) 32% (23) 67% (48) Internet 1% (1) 10% (7) 89% (64) Email 1% (1) 24% (17) 75% (54) ____________________________________________________________________________________________________________ n = 72
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Table F. 9 Frequency of Technology Use by Academic Staff: 1997 and 2002 ________________________________________________________________________________________________ Technology Daily-Weekly Fortnightly-Monthly Once per Semester Never __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 15% (11) - 14% (10) - 17% (12) - 53% (38) - Multimedia 17% (12) 56% (69) 10% (7) 23% (28) 24% (17) 15% (18) 50% (36) 6% (7) Conferencing technologies 8% (6) 17% (21) 1% (1) 11% (13) 17% (12) 25% (31) 74% (53) 46% (57) Internet 7% (5) 47% (58) 10% (7) 26% (32) 19% (14) 15% (18) 64% (46) 11% (14) Email 17% (12) 53% (65) 13% (9) 16% (20) 22% (16) 15% (18) 47% (34) 15% (18) ____________________________________________________________________________________________________________ 1997 n = 71-72, 2002 n = 122-123 Table F. 10 Frequency of Technology Use by Self at University: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Daily-Weekly Fortnightly-Monthly Once per Semester Never __________________________________________________________________________________________ 1997 2002 1997 2002 1997 2002 1997 2002 ____________________________________________________________________________________________________________ CAI 15% (11) - 15% (11) - 19% (14) - 49% (35) - Multimedia 8% (6) 30% (37) 13% (9) 29% (36) 28% (20) 24% (29) 50% (36) 16% (20) Conferencing technologies 4% (3) 7% (9) 0% (0) 3% (4) 15% (11) 13% (16) 79% (57) 76% (93) Internet 7% (5) 81% (100) 17% (12) 15% (18) 18% (13) 4% (5) 57% (41) 0% (0) Email 13% (9) 82% (101) 13% (9) 12% (15) 22% (22) 3% (4) 51% (37) 2% (3) ____________________________________________________________________________________________________________ 1997 n = 71, 2002 n = 122-123
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Table F. 11 Importance of Technologies to Higher Education: 1997 ____________________________________________________________________________________________________________ Technology Not Important Reasonably Important Very Important ____________________________________________________________________________________________________________ CAI 21% (15) 35% (25) 44% (32) Multimedia 6% (4) 32% (23) 63% (45) Audiographics 15% (11) 44% (32) 38% (27) Internet 4% (3) 26% (19) 68% (49) Email 13% (9) 31% (22) 56% (40) ____________________________________________________________________________________________________________ n = 70-72 Table F. 12 Preferred Change in Use of Technologies in Higher Education: 1997 and 2002 ____________________________________________________________________________________________________________ Technology Less use No Change More use Undecided __________________________________________________________________________________________
1997 2002 1997 2002 1997 2002 1997 - 2002 __________________________________________________________________________________________________ CAI 3% (2) - 25% (18) - 63% (45) - 8% (6) - Multimedia 0% (0) 0% (0) 4% (3) 36% (44) 92% (66) 64% (79) 4% (3) - Conferencing technologies 1% (1) 2% (2) 13% (9) 22% (27) 72% (52) 76% (93) 11% (8) - Internet 1% (1) 1% (1) 4% (3) 56% (69) 90% (65) 43% (53) 3% (2) - Email 3% (2) 0% (0) 10% (7) 56% (69) 82% (59) 44% (54) 4% (3) - ____________________________________________________________________________________________________________ 1997 n = 72, 2002 n = 122-123
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Table F. 13 Importance of Technologies to Teacher Preparation (rankings of 1): 1997 and 2002 ___________________________________________________________________________________ Technology 1997 n = 71 2002 n = 123 ___________________________________________________________________________________ CAI 18% (13) - - Multimedia 50% (36) 54% (66) Conferencing technologies 1% (1) 0% (0) Internet 28% (20) 37% (45) Email 3% (2) 9% (11) ___________________________________________________________________________________ 1997 n = 72, 2002 n = 122