Paper ID #24244
2018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29Stemming stereotype threat: recruitment, retention, and degree attainmentin STEM fields for undergraduates from underrepresented backgrounds
Dr. Najmah Thomas, University of South Carolina BeaufortDr. Najmah Thomas Najmah Thomas is an Assistant Professor in the Department of Social Sciencesat the University of South Carolina Beaufort (USCB). She is a full-time faculty member for the HumanServices Program, which encompasses both the residential/on-campus and the Palmetto College Onlinedegree completion programs. She is also the faculty member for African American Studies at USCB. Herresearch agenda includes social and economic equity with a focus on program evaluation practices, youthleadership development programs, and public policies impacting underrepresented populations, such aschildren in foster care and members of the Gullah/Geechee Community. Dr. Thomas earned a B.A.in Public Policy at the College of William and Mary, Williamsburg, VA, a Masters of Adult Educationand Distance Learning from the University of Phoenix, and a Ph.D. in Public Policy and Administrationwith a concentration in urban policy, at Virginia Commonwealth University, Richmond, VA. Prior to herrole with USCB, Dr. Thomas served as the Virginia Community College System’s director for statewideWorkforce Investment Act programs. She also served as Director of Capacity Building for the CameronFoundation, and Deputy Director at the Crater Regional Workforce Investment Board in Petersburg, Vir-ginia. Over the course of her career, Dr. Thomas’ work has generated grants and contracts totaling morethan $1.5 million.She was named a Southeastern Council of Foundations Hull Fellow, keynote speaker atthe Virginia Career Coach Academy and Commencement Address speaker at Fortis College, Richmond,VA. In February of 2013, she received the Living Legacy Award from the Association for the Study ofAfrican American Life and History. She currently serves on the Penn Center, Inc. Board of Trustees, andis also a 2017 Fellow with the Institute for African American Research.Dr. Ronald Erdei:Dr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni-versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology atPurdue University in the summer of 2016, where he had been working and teaching for some years. As ofFall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 14 computer programmingor information technology courses. He has helped guide over 750 graduate and undergraduate students todevelop not merely technical skills, but more importantly computational thinking abilities, critical think-ing abilities, and problem decomposition skills widely considered fundamental to professional success inthe modern 21st century workplace.Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. Hisdiscovery efforts focus on these learning processes with much of his research lying in the learning sci-ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperativelearning in college students, pedagogical practices aimed at reducing barriers to the learning process, andoptimization of educational content delivery for targeted populations.Prior to entering academia, Dr. Erdei’s career focused on data-centric information technology systems.He possesses just over a decade of industry and consulting experience, and has worked in the roles ofapplication developer, database analyst, database architect, and database administrator.
Dr. Ronald Erdei, University of South Carolina BeaufortDr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni-versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology atPurdue University in the summer of 2016, where he had been working and teaching for some years. As ofFall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 13 computer programmingor information technology courses. He has helped guide over 700 graduate and undergraduate students todevelop not merely technical skills, but more importantly computational thinking abilities, critical think-ing abilities, and problem decomposition skills widely considered fundamental to professional success inthe modern 21st century workplace.Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. Hisdiscovery efforts focus on these learning processes with much of his research lying in the learning sci-ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperativelearning in college students, pedagogical practices aimed at reducing barriers to the learning process, andoptimization of educational content delivery for targeted populations.Prior to entering academia, Dr. Erdei’s career focused on data-centric information technology systems.He possesses just over a decade of industry and consulting experience, and has worked in the roles ofapplication developer, database analyst, database architect, and database administrator.
c©American Society for Engineering Education, 2018
Stemming Stereotype Threat: Recruitment, Retention, and Degree Attainment in STEM Fields for
Undergraduates from Underrepresented Backgrounds
ABSTRACT
This study advances understanding about inclusion, equity and diversity in efforts to broaden
participation, transform institutional leadership, and promote student-centered success strategies
in academia. The researchers employed qualitative and quantitative systematic review (QSR) to
investigate key factors associated with recruitment, retention, and related career attainment in
STEM fields for undergraduate students from underrepresented backgrounds. The study is
grounded in a review of the literature on stereotype threat in academic settings. Stereotype threat
refers to being at risk of confirming, as a self-characteristic, negative stereotypes about one’s social
group (Steele and Aronson, 1995). Mechanisms involved in stereotype threat include reduced
working memory capacity, changes in physiological processes, lowered performance expectations,
negative cognitions, and anxiety. Research suggests stereotype threat can be disruptive enough to
impair intellectual performance for students, particularly in undergraduate STEM programs.
Although research on the link between stereotype threat and STEM program outcomes is relatively
new, initiatives have been implemented in a variety of post-secondary education settings with the
goal of enhancing outcomes for individuals from underrepresented backgrounds, using culturally-
relevant cognitive and non-cognitive practices. In this study, researchers employ QSR to analyze
findings across 25 studies related to promising practices for reducing the impact of stereotype
threat in STEM fields for undergraduate students from underrepresented backgrounds. This paper
then presents a framework, derived from the findings of the QSR analysis, to describe a proposed
theory of change for reducing stereotype threat in academic settings.
KEYWORDS
diversity, inclusion, qualitative systematic review, STEM education, stereotype threat, framework,
undergraduate, underrepresented.
Background
Occupations in the science, technology, engineering and math (STEM) fields have increased in
overall importance from a variety of perspectives during the past few decades. In terms of
individual employment opportunities and overall quality of life, STEM occupations have higher
than average job growth projections and higher than average wage rates [1] . STEM occupations
are also closely linked to high prestige and economic prosperity from a national standpoint [2] .
In terms of practical application, STEM fields are responsible for identification of solutions to
myriad challenges in multiple business sectors, government, entertainment, and everyday life.
It is widely acknowledged that the United States must increase its production of individuals
skilled in various STEM fields in order to maintain and enhance global competitiveness, and
given the deep and wide impact of STEM occupations, it is essential that the field be diverse and
representative. General estimates suggest that by 2050, no one race or ethnicity will be a
majority of the US population [3]; diversity and representation in the STEM workforce are good
principles to pursue on face value, but this issue goes beyond merely doing the right thing. A
diverse and representative STEM workforce is essential for ensuring a range of perspectives
during solution development [4], is critical for mainstreaming previously non-mainstream topics,
and is vital for maximizing innovation [5]. Attracting more individuals from underrepresented
backgrounds to the STEM field is essential in many respects, particularly because their
knowledge and lived experiences represent an otherwise untapped source.
Despite the clear benefit of a diverse and representative STEM workforce, certain populations,
including women, African Americans, Native Americans, and people from Latina/o, ethnic
backgrounds have been and continue to be underrepresented in the professional field. This is due
in large part to underrepresentation of these populations as STEM degree recipients [6], [7]. It is
evident that undergraduate STEM programs can play a significant role in terms of solutions to
the STEM pipeline problem. This study uses qualitative and quantitative systematic review to
investigate the following research question: What are the key factors associated with recruitment,
retention, and related career attainment in STEM fields for undergraduate students from
underrepresented backgrounds? A follow-up question is also considered: What specific actions
should colleges and universities undertake in order to promote success in STEM programs for
more students from underrepresented backgrounds?
Existing research has focused to a large extent on the seemingly intractable gaps in educational
outcomes and career attainment for underrepresented individuals in STEM fields. The present
study contributes to and expands this research in a practical and generalizable way. By
specifically connecting gaps in educational outcomes to the issue of stereotype threat, and by
offering an evidenced-based framework to create campus environments which reduce or
eliminate stereotype threat in STEM programs, this study advances understanding about
inclusion, equity and diversity in efforts to broaden participation, transform institutional
leadership, and promote student-centered success strategies in academia.
Literature Review
Underrepresented Groups in STEM
Women, African Americans, Native Americans, and people from Latina/o, ethnic backgrounds
continue to be underrepresented across STEM fields. For example, despite some signs of
progress, African Americans and individuals of Hispanic backgrounds continue to be
underrepresented among credential recipients in STEM fields and in STEM careers [6].
Similarly, women in general and African American women in particular represent less than 29%
of all STEM workers [8]. This seemingly intransient issue of underrepresentation in STEM fields
is due in part to underrepresentation among STEM program graduates [6], [7]. Although the odds
of declaring a STEM major are equal or in some instances greater for these groups, their STEM
program retention, degree attainment, and career attainment are still much lower [9]. Researchers
suggest a portion of the educational achievement gap can be attributed to socioeconomic status,
concentrated poverty levels and continued segregation, particularly in southern schools, but a
large portion of the gap remains unexplained [6]. Despite the importance of personality, k-12
academic preparation, and intellectual ability, research must aid in shifting the discourse from
one focused on student deficits, to one focused on the role of higher education environments in
shaping educational outcomes.
Stereotype Threat
In recent years, researchers have investigated the impact of stereotype threat on educational
outcomes for underrepresented groups. Stereotype threat refers to being at risk of confirming a
negative stereotype about one’s social group [10]. Stereotype threat can result in reduced
working memory capacity, reduced self-control, reduced effort, changes in physiological
processes, lowered performance expectations, negative cognitions and dejection, anxiety and dis-
identification with academic goals [7, 11, 12]. The person experiencing stereotype threat does
not need to believe in the stereotype; the risk of negative impact to performance is related to
knowledge that the stereotype stands as a hypothesis [10]. Vulnerability to stereotype threat can
impact any individual, but has been found to have different impacts on students based on gender
and race. According to Steele [10], the experiences of African American students are uniquely
influenced by stereotype threat as a result of their association with a group whose intellectual
abilities have been broadly questioned. Tine and Gotlieb [13] found individuals with three levels
of stigma – gender, race, and income-based stereotype threats – experienced significantly larger
negative effects on math and working memory performance.
Researchers tested the stereotype threat hypothesis in real-world and lab settings and confirmed
the impact of stereotype threat on standardized test scores as well as classroom performance and
grades [11], [13] & [14]. Other researchers conducted meta-analysis of data from over 18,000
students in five countries and found bias resulting not from the content of academic performance
measures, but from the context in which the measures are actually assessed [14]. Studies have
also concluded that when stereotype threat is reduced, students in negatively stereotyped
categories outperformed students from non-negatively stereotyped categories on tests and class
assignments when both have the same prior academic records [11]. It is arguable that stereotype
threat impairs overall academic performance and systematically underestimates ability for some
underrepresented groups.
Researchers have pointed out that for many underrepresented groups, the majority of their
academic experiences are in atmospheres with faculty members, administrators and other
authority figures who are not from their “in group” [15] [16] & [17]. For groups with very small
percentages in the STEM field, such as African American women, it is statistically less likely
that these students would ever have access to a “like me” faculty member or mentor in the field
without specific interventions or strategies to ensure such relationships exist. The expression
“like me” in reference to faculty members, mentors and other academic and career role models is
terminology borrowed from recent efforts in the nursing field. The US Health Resources and
Services Administration funds the Nursing Workforce Diversity (NWD) program with the goal
of increasing access to culturally competent nursing that is reflective of the diversity of the
communities in which they serve; this program assists students from disadvantaged backgrounds
to obtain nursing credentials [18]. A successful component of many NWD programs includes
pairing future nurses with mentors who come from similar backgrounds; the ‘like me’
nomenclature is an example of the value of cross-discipline knowledge transfer in terms of
overall discourse. The nursing field differs in many ways from engineering or computer science,
however needs related to underrepresented populations are very similar and knowledge about
what works should be transferred across these fields.
Qualitative and Quantitative Systematic Review
Translation of knowledge across fields can be accomplished using a variety of methods, to
include joint research conferences and symposiums, inter-disciplinary research studies, and
research methods specifically aimed at synthesizing information on a topic, regardless of
discipline. Generally used by medical researchers, the qualitative and quantitative systematic
review (QSR) methodologies provide a methodical and comprehensive review of relevant
studies, combining the findings together in a summarized form [19]. Specific methods for
quantitative and qualitative systematic reviews have been developed and continue to evolve;
Seers [20] provides a summary of methods for conducting a systematic review. Snilstveit, Oliver
and Vojtkova [21] contend the key principles of the QSR approach are comprehensive,
systematic and transparent. Other noted advantages to this approach include reductions in
research costs, broader generalizability and extrapolation of results, as well as enhanced
reliability and accuracy when compared to individual studies [19]. Figure 1 illustrates the
methodology in comparison to other study designs, with case reports being the least
comprehensive and meta-analysis being the most comprehensive approach.
Over the past decade, a number of studies have been conducted to investigate the impact of
stereotype threat on educational outcomes, as well as efforts to improve STEM degree program
outcomes for underrepresented populations. QSR was selected as a methodology to
comprehensively analyze these efforts in order to identify key factors associated with
recruitment, retention, and related career attainment, as well as to create a framework for
colleges and universities to adopt and adapt, in order to promote success in STEM programs for
more students from underrepresented backgrounds.
Figure 1: Hierarchy of Clinical Study Designs
Methods
Identification of Research Studies
Qualitative and quantitative research studies with outcomes data related to STEM recruitment,
retention, degree attainment and career attainment were identified via a phased search of
electronic databases. The research team collaboratively designed a QSR protocol outlining
inclusion criteria for the selected studies; this protocol specified items such as the study time
frame, population, intervention type, keywords, and search database. The initial phase included a
database search and review of the abstracts of all peer-reviewed publications that contained
keywords or alternatives as outlined in the QSR keyword concept map.
The second phase entailed a critical appraisal of each article for appropriateness, using a critical
appraisal form to uniformly evaluate the studies on items such as research design, sample size,
acknowledgement of limitations, researcher bias, and recommendations supported by data. Prior
to appraising the articles, the researchers conducted simultaneous appraisal of a selected article,
to ensure agreement on appraisal connotations and to increase inter-evaluator reliability. The
researchers agreed to assign a score of 1-10 for each appraisal, with articles scored at less than
five being excluded from the third phase of the QSR. The initial search phase returned a total of
54 articles that fit the QSR protocol criterion. Of that amount, 25 articles met the critical
appraisal rating of five or higher, and were included in the third phase of the QSR. These articles
were: [9, 11, 15, 16, 22-42].
Data Extraction and Analysis
The third phase of this QSR entailed a comprehensive review and extraction of findings from the
25 studies. A data extract form specified items to be documented for each study, including
participants and type, study context, outcomes assessed, interventions, objectives, findings and
results, and recommendations. Data from the extraction forms was entered into a Microsoft
Access database for analysis. The research team then set two rules for an iterative process to
translate themes and concepts from the extracted data; the themes and concepts were derived
from the actual results and findings as documented in the database and, if noted in nine or more
of the studies then themes and concepts formed a synthesis topic. The research team then
conducted backward mapping to re-count instances of each theme and concept finding across all
studies. The four synthesis topics of identification, environment, capitals, and process were
identified during this iterative procedure, with distinct categories of findings assigned to each
topic.
Findings
Evidence from this systematic review of studies supports the contention that undergraduate
STEM programs can indeed play a significant role in terms of solutions to problem of
underrepresented populations in the STEM profession. Findings suggest there are four distinct
areas factors associated with improving recruitment, retention, and related career attainment in
STEM fields for undergraduate students from underrepresented backgrounds, and within those
areas, specific actions colleges and universities should undertake in order to reduce the negative
impact of stereotype threat and promote success in STEM programs for more students from
underrepresented backgrounds.
Implicit across all of the studies was the essential influence of leadership, data, development and
reporting. Taken together, these findings suggest that certain approaches must be embedded into
the overall fabric of the institution in order to achieve equitable education outcomes. Institutional
fabric and campus environment are shaped not only by what is written in official policy, but by
what is actually practiced on a regular basis. Individuals at every level of institutional leadership
(academic and administration) must take a proactive and intentional approach to equity in
educational outcomes. These approaches can be operationalized in terms of data-driven
decisions, faculty and staff development, as well as reporting.
Table 1: Synthesis of Findings
Synthesis
Topics
Categories of Findings Findings Count (#
of times indicated
in each study)
Identification Focus on goal orientation
Provision of research experience
Support for multi-cultural / simultaneous ID
development
Support for scientific ID development
23
Environment Aware and supportive faculty
Supportive campus/welcoming to underrepresented
populations
Supportive community for specific groups
Supportive STEM discipline/program units
14
Capitals Aspirational capital development
Cultural capital acknowledgement and development
Navigational capital development
Social capital development / ‘like-me’ mentors
7
Process Eliminating “weeding out” courses and practices
Looking for resilient students, instead of ‘scientists’
Smoothing out the transfer process for community
college students
Use of communication strategies
Use of STEM course syllabi as a tool for engagement
11
Framework for Colleges and Universities
This study used the aforementioned factors to develop a framework for colleges and universities
to adopt and adapt, in order to promote success in STEM programs for more students from
underrepresented backgrounds. Three distinct sections are illustrated in the proposed framework;
first, the Campus Environment and role of institutional action in mitigating stereotype threat is
shown; then examples of Evidence-Based Practices to mitigate stereotype threat, enhance
scientific ID development, expand capitals, and enhance STEM program processes are provided;
and lastly, potential STEM Program and Workforce Outcomes are presented.
Figure 2: Stereotype Threat Reduction Framework (STRF) for Colleges and Universities
Discussion
One of the most interesting aspects of the study was the use of a research methodology, QSR, not
commonly employed in STEM disciplines. An evidence-based research methodology, QSR is
commonly employed in medical disciplines. Though distinct in many ways, medical and STEM
disciplines share many commonalities, including the need for evidence-based approaches
facilitating the study of complex human-centric systems, such as workforce homogeneity. The
QSR methodology was an effective guide for our study, enabling it to be conducted in adherence
to well established research practices and guidelines. Additionally, it allowed us to evaluate
employment of an approach novel to the STEM discipline with an eye toward future studies.
Easily the most interesting outcome of the QSR was the importance of student identification in
improving recruitment, retention, and related career attainment in STEM fields for undergraduate
students from underrepresented backgrounds. Of the 25 peer-reviewed journal articles analyzed
through the QSR process, sense of identity permeated 23. It is very important to contextualize
this category of findings in terms of stereotype threat, which is by definition linked to sense of
identity; this threat is quite literally the function of a negative aspect of one’s group
identification. Our findings indicate this negative aspect of identity is commonly being countered
in real-world learning environments by the fostering of positive group identification; however, as
often as not, administrators and educators do not realize why their efforts and interventions
succeed.
The Stereotype Threat Reduction Framework (STRF)
The STRF is designed to assist college educators and administrators understand the various
mechanisms used to mitigate stereotype threat in undergraduate students; the -goal being to
promote success in STEM programs for more undergraduate students from underrepresented
backgrounds, and ultimately increase their representation in STEM career fields. The STRF
helps educators (administrators, faculty and staff members) understand how and why
instructional pedagogies, such as collaborative learning, and academic initiatives, such as
faculty-student mentoring, work. It helps university administrators visualize a more complete
STEM pipeline, from recruitment through career. It impresses the importance of fostering not
simply the development of a single sense of identity in students, but of fostering the development
of a multitude of non-exclusive, complementary senses of identity that reflects in each individual
student their discipline (i.e., scientist, engineer), culture, gender, ethnicity, socioeconomic
background, veteran status, etc. Explicitly identified in the STRF is the importance of faculty-
student and mentor-student interactions on the development of student sense of identity,
particularly those with “like me” faculty members and “like me” mentors. Finally, the STRF
details the importance of reframing many of our existing instructional scaffoldings from an
orientation of deficiency-remediation to professional-development with regard to the
development of student identity.
Study Limitations and Delimitations
As follow-up to a small-scale pilot study, this investigation was designed to be of incrementally
larger, yet still moderate, scope. As such, the literature included in the QSR was limited to
articles published in peer reviewed journals. Conference proceedings, regardless of the discipline
or reputability of the conference, were not included in the study. Literature included in the QSR
were also limited to articles identified via search of only 11 predetermined databases, identified
in the QSR protocol. As noted in the methodology, the initial search phase returned a total of 54
articles that fit the QSR protocol criterion. Of that amount, 25 articles met the critical appraisal
rating of five or higher, and were included in the third phase of the QSR. Finally, the current
QSR does not incorporate an assessment of relative degree to which articles reflect each of the
four factors identified in the study (i.e., identification, environment, capitals, processes); instead,
the QSR simply protocol simply identifies whether the article does or does not reflect each
factor.
Next Steps
To increase confidence in the findings of this study, as well as tease out additional insights, the
researchers feel that a study of larger breadth needs to be performed. Specifically, the breadth of
the QSR needs to be increased to include a larger number of articles drawn from a wider array of
databases. Additionally, the study should evaluate articles cited by those already in the QSR,
incorporating those articles that meet the QSR protocol criterion for inclusion in the study.
Finally, the revised study should develop and subsequently incorporate a means to assess the
relative degree each article reflects each factor identified in the study (i.e., identification,
environment, capitals, processes).
References
[1] L. status and tre Musu-Gillette, J. Robinson, J. McFarland, A. KewalRamani, A. Zhang,
and S. Wilkinson-Flicker, "Status and Trends in the Education of Racial and Ethnic
Groups 2016," U.S. Department of Education, National Center for Education
StatisticsNCES 2016-007, 2016, Available: http://nces.ed.gov/pubsearch.
[2] C. Riegle-Crumb and B. King, "Questioning a White Male Advantage in STEM:
Examining Disparities in College Major by Gender and Race/Ethnicity," Educational
Researcher, vol. 39, no. 9, pp. 656-664, 2010.
[3] L. Frick, "Now hiring: Women and Minority Engineers," 2012.
[4] R. Anderson, "Elevating women in oil and gas: Critical factors for attraction and
retention.," World Oil, vol. 235, no. 5, p. 109, 2014.
[5] J. R. Mark Muro, Scott Andes, Kenan Fikri, and Siddharth Kulkarni, "<America’s
Advanced Industries_ What They Are, Where They Are, and Why They Matter.pdf>."
[6] E. M. Bensimon, "Closing the achievement gap in higher education: An organizational
learning perspective," New Directions for Higher Education, vol. 2005, no. 131, pp. 99-
111, 2005.
[7] M. A. Beasley and M. J. Fischer, "Why they leave: the impact of stereotype threat on the
attrition of women and minorities from science, math and engineering majors," Social
Psychology of Education, vol. 15, no. 4, pp. 427-448, 2012.
[8] A. H. Kerkhoven, P. Russo, A. M. Land-Zandstra, A. Saxena, and F. J. Rodenburg,
"Gender Stereotypes in Science Education Resources: A Visual Content Analysis," PLoS
One, vol. 11, no. 11, p. e0165037, 2016.
[9] L. Perna et al., "The Contribution of HBCUS to the Preparation of African American
Women for Stem Careers: A Case Study," Research in Higher Education, vol. 50, no. 1,
pp. 1-23, 2008.
[10] C. M. Steele and J. Aronson, "Stereotype Threat and the Intellectual Test Performance of
African Americans," Journal of Personality and Social Psychology, vol. 69, no. 5, pp.
797-811, 1995.
[11] C. R. Logel, G. M. Walton, S. J. Spencer, J. Peach, and Z. P. Mark, "Unleashing Latent
Ability: Implications of Stereotype Threat for College Admissions," Educational
Psychologist, vol. 47, no. 1, pp. 42-50, 2012.
[12] E. D. Deemer, J. L. Smith, A. N. Carroll, and J. P. Carpenter, "Academic Procrastination
in STEM: Interactive Effects of Stereotype Threat and Achievement Goals," Career
Development Quarterly, vol. 62, no. 2, pp. 143-155, 2014.
[13] M. Tine and R. Gotlieb, "Gender-, race-, and income-based stereotype threat: the effects
of multiple stigmatized aspects of identity on math performance and working memory
function," Social Psychology of Education, vol. 16, no. 3, pp. 353-376, 2013.
[14] G. Walton and S. Spencer, "Latent Ability: Grades and Test Scores Systematically
Underestimate the Intellectual Ability of Negatively Stereotyped Students,"
Psychological Science, vol. 20, no. 9, pp. 1132-1139, 2009.
[15] K. I. Maton, F. A. Hrabowski, III, and C. L. Schmitt, "African American College
Students Excelling in the Sciences: College and Postcollege Outcomes in the Meyerhoff
Scholars Program," Journal of Research in Science Teaching, vol. 37, no. 7, pp. 629-54,
2000.
[16] S. Hurtado, N. Cabrera, M. Lin, L. Arellano, and L. Espinosa, "Diversifying Science:
Underrepresented Student Experiences in Structured Research Programs," Research in
Higher Education, vol. 50, no. 2, pp. 189-214, 2009.
[17] S. A. Allen-Ramdial and A. G. Campbell, "Reimagining the Pipeline: Advancing STEM
Diversity, Persistence, and Success," Bioscience, vol. 64, no. 7, pp. 612-618, Jul 2014.
[18] U. S. D. o. H. a. H. Services, "Nursing Workforce Diversity (NWD) Program," ed:
Health Resources and Services Administration (HRSA), Bureau of Health Workforce,
Division of Nursing and Public Health, 2016, pp. 1-43.
[19] J. C. Littell, Jacqueline; Pillai, Vijayan, "Syematic Reviews and Meta-Analysis."
[20] K. Seers, "Qualitative systematic reviews: their importance for our understanding of
research relevant to pain," Br J Pain, vol. 9, no. 1, pp. 36-40, Feb 2015.
[21] B. Snilstveit, S. Oliver, and M. Vojtkova, "Narrative approaches to systematic review and
synthesis of evidence for international development policy and practice," Journal of
Development Effectiveness, vol. 4, no. 3, pp. 409-429, 2012.
[22] J. Aronson, C. B. Fried, and C. Good, "Reducing the Effects of Stereotype Threat on
African American College Students by Shaping Theories of Intelligence," Journal of
Experimental Social Psychology, vol. 38, no. 2, pp. 113-125, 2002.
[23] S. Buday, J. Stake, and Z. Peterson, "Gender and the Choice of a Science Career: The
Impact of Social Support and Possible Selves," Sex Roles, vol. 66, no. 3, pp. 197-209,
2012.
[24] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang, "Why Are Some STEM Fields
More Gender Balanced Than Others?," Psychological Bulletin, vol. 143, no. 1, pp. 1-35,
Jan 2016.
[25] C. Lancaster and Y. J. Xu, "Challenges and Supports for African American STEM
Student Persistence: A Case Study at a Racially Diverse Four-Year Institution," The
Journal of Negro Education, vol. 86, no. 2, pp. 176-189, 2017.
[26] C. L. Colbeck, A. F. Cabrera, and P. T. Terenzini, "Learning Professional Confidence:
Linking Teaching Practices, Students' Self-Perceptions, and Gender," The Review of
Higher Education, vol. 24, no. 2, pp. 173-191, 2001.
[27] A. C. Dowd, J. H. Pak, and E. M. Bensimon, "The Role of Institutional Agents in
Promoting Transfer Access," Education Policy Analysis Archives, vol. 21, no. 15, 2013.
[28] D. Gelbgiser and S. Alon, "Math-oriented fields of study and the race gap in graduation
likelihoods at elite colleges," Social Science Research, vol. 58, pp. 150-164, Jul 2016.
[29] P. R. Hernandez, P. W. Schultz, M. Estrada, A. Woodcock, R. C. Chance, and A. C.
Graesser, "Supplemental Material for Sustaining Optimal Motivation: A Longitudinal
Analysis of Interventions to Broaden Participation of Underrepresented Students in
STEM," Journal of Educational Psychology, vol. 105, no. 1, pp. 89-107, 2013.
[30] P. R. Hernandez et al., "Promoting professional identity, motivation, and persistence:
Benefits of an informal mentoring program for female undergraduate students," PLoS
One, vol. 12, no. 11, p. e0187531, 2017.
[31] D. L. Jackson, "A Balancing Act: Impacting and Initiating the Success of African
American Female Community College Transfer Students in STEM into HBCU
Environments," The Journal of Negro Education, vol. 82, no. 3, pp. 255-271, 2013.
[32] M. Johns, T. Schmader, and A. Martens, "Knowing is half the Battle: Teaching
Stereotype Threat as a Means of Improving Women's Math Performance," Psychological
Science, vol. 16, no. 3, pp. 175-179, 2005.
[33] D. M. Merolla and R. T. Serpe, "STEM enrichment programs and graduate school
matriculation: the role of science identity sallience," Social Psychology of Education: An
International Journal, vol. 16, no. 4, pp. 575-597, 2013.
[34] L. T. O’Brien, D. M. Garcia, G. Adams, J. G. Villalobos, E. Hammer, and P. Gilbert,
"The threat of sexism in a STEM educational setting: the moderating impacts of ethnicity
and legitimacy beliefs on test performance," Social Psychology of Education, vol. 18, no.
4, pp. 667-684, 2015.
[35] K. G. Rice, F. G. Lopez, C. M. E. Richardson, and J. M. Stinson, "Perfectionism
Moderates Stereotype Threat Effects on STEM Majors Academic Performance," Journal
of Counseling Psychology, vol. 60, no. 2, pp. 287-293, Apr 2013.
[36] S. Rodriguez, R. Romero-Canyas, G. Downey, J. A. Mangels, and E. T. Higgins, "When
School Fits Me: How Fit Between Self-Beliefs and Task Benefits Boosts Math
Motivation and Performance," Basic and Applied Social Psychology, vol. 35, no. 5, pp.
445-466, 2013.
[37] C. C. Samuelson and E. Litzler, "Community Cultural Wealth: An Assets-Based
Approach to Persistence of Engineering Students of Color," Journal of Engineering
Education, vol. 105, no. 1, pp. 93-117, 2016.
[38] E. Sandoval-Lucero, J. B. Maes, and L. Klingsmith, "African American and Latina(o)
community college students' social capital and student success," College Student Journal,
vol. 48, no. 3, p. 522, 2014.
[39] M. Savaria and K. Monteiro, "A Critical Discourse Analysis of Engineering Course
Syllabi and Recommendations for Increasing Engagement among Women in STEM,"
Journal of STEM Education: Innovations and Research, vol. 18, no. 1, pp. 92-97, 2017.
[40] E. Shaffer, D. Marx, and R. Prislin, "Mind the Gap: Framing of Women's Success and
Representation in STEM affects Women's Math Performance under Threat," Sex Roles,
vol. 68, no. 7, pp. 454-463, 2013.
[41] M. Soldner, H. Rowan-Kenyon, K. K. Inkelas, J. Garvey, and C. Robbins, "Supporting
Students' Intentions to Persist in STEM Disciplines: The Role of Living-Learning
Programs Among Other Social-Cognitive Factors," The Journal of Higher Education,
vol. 83, no. 3, pp. 311-336, 2012.
[42] G. Winograd and J. P. Rust, "Stigma, awareness of support services, and academic help-
seeking among historically underrepresented first-year college students," The Learning
Assistance Review, vol. 19, no. 2, p. 17, 2014.
Stemming Stereotype Threat: Recruitment, Retention, and Degree Attainment in STEM Fields for Undergraduates from Underrepresented Backgrounds
Najmah Thomas, PhD; Ron Erdei, PhD
2018 The Collaborative Network for Engineering and Computing Diversity (CoNECD) Paper Presentation / Workshop Session Outline Background & Literature Review:
Grounding diversity conversations in context of innovation and global competitiveness Developing a deeper understanding of the opportunities for improvement in terms of
STEM education programs and STEM workforce diversity Focusing attention on connections between stereotype threat and STEM education
program outcomes for underrepresented populations
QSR – Why Qualitative/Quantitative Systematic Review?
The value of cross-discipline knowledge transfer Methodical review of promising practices, comprehensive analysis of findings Identification and classification of key factors
How the Current Study Employs QSR:
Methods – QSR protocol and keyword concept map, critical appraisal, and data extraction
Analysis - Iterative translation of themes and concepts, backward mapping Initial Findings – identification, environment, capitals and process
Stereotype Threat Reduction Framework (STRF): An Adaptable Tool for Colleges and Universities:
STRF is a new framework derived from the findings of the QSR analysis, describes a proposed theory of change for reducing stereotype threat in academic settings
Desired/anticipated change is increase in successful STEM education program outcomes for underrepresented students, leading to increased representation and diversity in STEM workforce
STRF helps educators understand how and why certain strategies work, visualize a more complete STEM pipeline with their roles clearly identified
STRF connects institutional environments and practices such as “like me” mentors and faculty to elements such as identification development for STEM students
Three areas illustrated in the framework: o campus institutional fabric & role of institutional actors in mitigating stereotype
threat o examples of evidence-based practices to address stereotype threat o potential STEM program and workforce outcomes
STRF offers a new perspective on the topic of inclusion and transforming institutional leadership in undergraduate STEM programs
STRF also has strong potential to transfer in other academic programs
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