Facilitating Self-Regulation with Mobile Devices to Improve Oral...
Transcript of Facilitating Self-Regulation with Mobile Devices to Improve Oral...
Running head: SELF-REGULATION TO IMPROVE ORAL INTERACTION 1
Facilitating Self-Regulation with Mobile Devices to Improve Oral Interaction in
a High School in Junín
Luis Fernando Mendoza García
Guide: Karen Wigby, M.Ed.
Presented as Partial Fulfillment for the Degree of Magíster en Pedagogía de los Idiomas
Nacionales y Extranjeros con Mención en la Enseñanza de Inglés. CES: RPC-SE-01-
N˚.014-2020. Cohort 2018 – 2020. Guayaquil, November 5th, 2020.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 2
Abstract
This innovation demonstrated the development and improvement of the oral interaction in
twenty-two participants who self-regulated their learning through the implementation of
self-assessment by using mobile phones accompanied by a technological tool named Padlet.
The participants were twenty-two A1 English level students from a Millennium high school
in a rural zone in Junin, Manabi Province, Ecuador. Students recorded five video tasks that
were self-assessed with a rubric. Moreover, the teacher provided feedback after each video.
The instruments applied were an oral interaction rubric and a semi-structured interview.
The overall results show a significant improvement in oral interaction and positive effect
size (ES) of 1.09. Additionally, in the final part of the study, students expressed their
perspectives about their learning, challenges, likes, and dislikes during the innovation. The
results show that the use of self-regulation facilitated by mobile devices can help students
improve oral interaction and are useful for teachers to implement in classes to improve
spoken interaction.
Keywords: oral interaction, self-regulation, self-assessment, English as a Foreign
Language, Padlet.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 3
Resumen
Esta innovación demostró el desarrollo y mejora de la interacción oral en veintidós
participantes que autorregularon su aprendizaje a través de la implementación de la
autoevaluación mediante el uso de teléfonos móviles acompañados de una herramienta
tecnológica denominada Padlet. Los participantes fueron veintidós estudiantes de nivel de
inglés A1 de una escuela secundaria Milenio en una zona rural de Junín, provincia de
Manabí, Ecuador. Los estudiantes grabaron cinco tareas en video que se autoevaluaron con
una rúbrica. Además, el docente proporcionó comentarios después de cada video. Los
instrumentos aplicados fueron una rúbrica de interacción oral y una entrevista
semiestructurada. Los resultados generales muestran una mejora significativa en la
interacción oral y el tamaño del efecto positivo de 1,09. Además, en la parte final del
estudio, los estudiantes expresaron sus perspectivas sobre su aprendizaje, desafíos, gustos y
disgustos durante la innovación. Los resultados muestran que el uso de la autorregulación
facilitada por los dispositivos móviles puede ayudar a los estudiantes a mejorar la
interacción oral y son útiles para que los profesores los implementen en las clases para
mejorar la interacción oral.
Palabras clave: interacción oral, autorregulación, autoevaluación, inglés como
lengua extranjera, Padlet.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 4
Facilitating Self-Regulation with Mobile Devices to Improve Oral Interactions in
High School Students
English has an essential role in many aspects of life because it is an interaction
channel among a significant number of people (Kannan, 2009). Rao (2019) expressed that
English is a world language. Students need to acquire English communication skills to
succeed in their specific fields like education, business, or tourism. Robson (2013) stated
that English is spoken at a reasonable level by some 1.75 billion people worldwide. By
2020, the author forecasted that two billion people would be using English or learning to
use it.
According to Education First (2019), English Proficiency Index, two-thirds of Latin
American countries improved their English proficiency this year. Still, despite these
changes, Ecuador was placed at 81 out of 100 nations around the world. And in the range
obtained for Latin America, Ecuador is in the last place among 19 countries. It means it is
necessary to look for strategies to increase the English level in Ecuadorian learners.
In the field of education in Ecuador, the Ministry of Education (Ministerio de
Educación, 2014) has implemented several measures to improve the English language’s
teaching-learning in educational institutions. One of the first measures adopted was in 1992
with the compulsory teaching in Ecuadorian secondary education (British Council, 2015).
In 1992, through an agreement between the MinEduc and the British Council, an essential
curricular reform for English was carried out for public and private institutions to lead
students to improve their English knowledge level.
One of MinEduc (Ministerio de Educación, 2012) goals is to guarantee that learners
obtain a B1 English level when finishing high school. That is why this year, the Ministry of
Education launched a new National English Curriculum, the “Ecuadorian in-service
English Teacher Standards” divided into five domains which are: Language, culture,
SELF-REGULATION TO IMPROVE ORAL INTERACTION 5
curriculum development, assessment, and professionalism, and ethical commitment
(MinEduc, 2012).
Nevertheless, according to current research and other researchers (Bonifaz, 2020;
Davila, 2020; Rivera, 2020), the reality in some Ecuadorian institutions is different.
Students are not reaching the required standards, and English educators have noticed that
issue. Facts mentioned before confirming the ranges about their English skills usage and
knowledge development, especially in their speaking skills. Students still face many
speaking difficulties. Al Hosni (2014) inferred that oral interaction needs more training to
be managed.
Speaking a foreign language motivates learning, and my 9th-grade students are far
from reaching the national graduation requirement of B1 for English. At the beginning of
the study, students took a proficiency test. Their results were lower than expected for a
student in the level of education. Most of them a Pre-A1 result, and the highest score was
an A2 level. In many cases, some participants face challenges through each task to develop
the oral skills (Bueno et al., 2006). It demonstrated the necessity of a change.
Teachers have to understand ELLs’ (English language learners) problems and
implement various teaching strategies in their English classrooms to develop their learners’
speaking skills. Self-regulation has been chosen as the strategy to encourage students to
improve their learning. Shanker (2012) expressed self-regulation is the ability the child has
to see the difficulty, understand it, deal with it through the practice, and then return to the
beginning to recheck his/her job and do it properly.
Schunk and Greene (2018), in their study, mentioned that self-regulation is
considered an important strategy nowadays. Shunk and Greene (2018) indicated that few
studies internationally or in Ecuador document the use of self-regulation to help students
learn through most agree that it would be useful. Helping teachers and students use self-
SELF-REGULATION TO IMPROVE ORAL INTERACTION 6
regulation is becoming more critical, particularly in institutions implementing their virtual
learning environments every time more. Thus, this study focused on the students’ self-
regulation training and oral interaction improvement, as well.
Ontaneda (2019) and Saltos (2019) used self-regulation with mobile devices to
improve oral interaction using recorded spoken videos, also improving pronunciation and
fluency in learners in Ecuador. Tenelanda and Castelo (2016) focused on using cell phones
through audio and video recordings to improve pronunciation and intonation. They found
that learners felt more comfortable working by themselves, listening to these recordings in
their target language. They were also taught to self-assess, set goals, and make an action
plan to reach goals.
Students can create a virtual learning environment that encourages their learning,
mainly on the new teaching and learning approach (Qamar, 2016). Raja and Najmunnisa
(2018) stated that traditional procedures adopted to facilitate students’ learning of
communication depended on textbooks and lectures. However, to improve students’
learning, a student-centered methodology, supported by self-regulation and self-assessment,
was used to increase their English level.
The study took place in a rural Millennium School in Junin city, very close to
Portoviejo, Ecuador. The institution was created six years ago. The school is equipped with
an extensive and complete library and one computing lab. More than one thousand
students are studying there. The school received students from different small, rural schools
around the area, and many have a lack of knowledge in various subjects, especially in
English. Their academic background was impoverished when the school opened.
The innovation was implemented in the ninth year students as a new way to increase
their second language learning, taking advantage of the school’s resources. The general
SELF-REGULATION TO IMPROVE ORAL INTERACTION 7
research question was: What was the effect on oral interaction of self-regulation facilitated
by mobile devices in a rural high school in Ecuador?
Literature Review
The current study aimed to improve oral interaction by applying self-regulation in a
group of high school students. The Literature Review explored the innovation’s relevant
concepts using primary studies about the main topic, which focused on facilitating self-
regulation to improve young learners’ oral interaction through self-assessment supported by
mobile devices.
Self-Regulation and Self-Assessment
Self-regulation is the selective use of strategies by which learners transform their
mental processes into academic skills, adapting them to individual learning tasks
(Zimmerman, 2010). Brown and Harris (2014) said that self-regulation involves setting
goals, evaluating progress related to the target criteria, and improving learning results. Self-
regulation can engage students by making students more active in measuring their progress
and using feedback properly.
According to Laranjo (2016), self-regulation could be defined as the process by
which people incorporate behavior change into their everyday routines. Self-regulation is
related to self-monitoring, goal setting, reflective thinking, decision-making, planning, plan
enactment, self-evaluation, and management of the emotions arising from the behavior
change. Self-assessment must be taught as a component of self-regulation, a competency
developed in school (Brown & Harris, 2014).
Zimmerman (1990) stated that maybe self-regulated learners are aware when they
know a fact or possess a skill and when they do not. Unlike passive participants, self-
regulated students proactively look for new information when necessary and take the
required steps to reach a goal. When self-regulated learners find obstacles such as poor
SELF-REGULATION TO IMPROVE ORAL INTERACTION 8
study conditions, confusing teachers, or abstruse textbooks, fortunately, they find a way to
overcome these issues (p. 4).
Schunk and Greene (2018) recommended more training and teaching self-
regulation, a skill that enhances motivation, understanding, and setting goals to reach in
learners. However, there is still little evidence that demonstrates these skills are needed for
more time to be mastered in different learning areas. The authors also stated that self-
regulation must be taught systematically or comprehensively in some formal educational
environments to obtain metacognitive results through self-assessment procedures.
Panadero et al. (2016) defined self-assessment as a “wide variety of mechanisms
and techniques through which students describe and possibly assign merit or worth to the
qualities of their learning processes and products” (p. 804). Epstein et al. (2008) defined
“self-assessment” as “ongoing moment-to-moment self-monitoring” (p. 5). Self-monitoring
“is about the ability to notice our actions, curiosity to examine the effects of those actions,
and willingness to apply those observations to improve behavior and thinking in the next
steps” (p. 5).
According to the National Research Council (2001), self-assessment can examine
themselves to find out how much progress learners have gotten. It is related to helping each
one monitor his/her work or skills, analyze his/her weaknesses and strengths, and do a self-
assessment, set goals, and find relevant strategies to reach their goals. Desautel (2009), self-
assessment helps develop critical meta-cognitive skills that contribute to a range of
essential capabilities.
Sharma et al. (2016) expressed that self-assessment can increase learners’
motivation levels. Self-assessment leads to better academic performance while developing
critical thinking skills for the analysis of their work. It is about judging, evaluating, and
considering the qualities of one’s academic work or abilities (Panadero et al., 2014).
SELF-REGULATION TO IMPROVE ORAL INTERACTION 9
Brown and Harris (2014) have found that self-assessment makes students more
responsible for tracking their progress. Still, some psychological factors lead to dishonesty
for protecting their images for decision-making and summative assessment. In summative
assessment, many people care more about their reputation and how others will judge them
than really being honest (American Psychological Association, 2020).
Assessment of Speaking
Speaking assessment methods are centered on interviews and referred to as OPIs or
oral proficiency interviews. A well-known OPI is the American Council on the Teaching of
Foreign Languages or the ACTFL OPI (ACTFL, 2009). According to Ginther (2013),
interviewers preselect a set of responses to follow up on topics or comments that the
participant has introduced. The interviewer may rate the examinee performance
simultaneously. When an audio or video recording is made, responses can be measured
after the interview is completed. EPPI (2002) Assessment requires processes in which
learning is collected in a planned and systematic way to judge student learning.
The possibilities afforded by the implementation of technology give rise to
distinctions between different modes of speaking assessment. A direct speaking test refers
to assessing speaking through face-to-face oral communication with an interlocutor,
interviewer, or examiner. The direct speaking assessment contrasts with a semi-direct
speaking test, which indicates a machine-mediated review involving the test-taker uttering
responses into a recording device without a human interlocutor being present to elicit the
output (Qian, 2009).
To assess a speaking class, teachers need to emphasize comprehensible and useful
tasks. According to Richards (2006), meaningful practice is an activity where students must
practice exercises that resemble real-life situations. Learners also need interaction with
SELF-REGULATION TO IMPROVE ORAL INTERACTION 10
others to associate what they learned to authentic performance. Therefore, this process
increases learners’ participation and motivation to learn more.
According to Brown (2006), many factors are considered to assess speaking in the
classroom: fluency, pronunciation, communication abilities, and understanding, among
others. Richards (2006) explained that fluency is a process in which the speaker interacts
naturally in an understandable way despite limitations. Pronunciation refers to speaking a
specific word in a way that is understood by the receiver (Otlowski, 1998). On the other
hand, communication abilities involve the capacity to start and manage conversations, ask
questions, and interact with others (Brown, 2006). Expressing and having understanding is
the capacity to recognize who is speaking to another, under what circumstances, and for
what reason the learner speaks (Bashir et al., 2011).
Rubrics provide a visual way to organize feedback and be a quick and transparent
way for educators to promptly give learners feedback (Lipnevich et al., 2014). For the
Cambridge oral interaction, A1 rubric oral interaction is described as “…learners can
interact, but communication is focused on repetition at a slower rate of speech, rephrasing,
and repair. Learners can also ask and answer simple questions, initiate and respond to
simple statements on very familiar topics.” (British Council, 2015). Also, Louma (2009)
mentioned that learners could understand the issues and instructions addressed carefully
and slowly to him/her and follow short, simple directions.
In this study, students used the text lesson’s vocabulary and structure. Grammar and
vocabulary are focused on accuracy and a variety of grammatical structures (Richards,
2017). Finally, pronunciation is related to stress and individual sounds. Students can
respond at the word, phrase, or more extended utterance level. Also, the student’s
pronunciation is understandable with errors that did not interfere with comprehension.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 11
Mobile-Assisted Language Learning
Saidouni and Bahloul (2016) expressed that mobile and wireless technologies had
opened new visions into learning and teaching. Mobile-Assisted Language Learning
(MALL) is one of the practical approaches that try to support e-learning features in general
and enhance language teaching and learning using the technology to facilitate students’
self-assessment. Ally (2009) claimed that mobile learning refers to “The process of using a
mobile device to access and study learning materials and to communicate with fellow
students, instructors or institutions” (p. 58).
Currently, mobile and electronic devices store and report the information to practice
and training. According to Rivera (2020), “mobile devices were necessary to record spoken
interactions to assist in the learning process and to self-reflect on the video works” (p. 8).
The education needs to adopt current technological resources such as multimedia devices,
mobile phones, and social media to optimize English language instruction and train
teachers to connect with classroom language learners (Alqahtani, 2019).
Basantes et al. (2017) determined that mobile devices improved communication.
However, not all educational opportunities were explored. They concluded that educators
need to have the proper training on mobile technology in their classes. They stated that it is
necessary to instruct educators on developing in their learners the correct application of
mobile devices. If it is not correctly applied, it could be a distractor more than a helping
resource with a wide range of technological opportunities to meet.
Computers are resources in language learning, and a lot of learners can connect with
their devices. More than this, students have taken care of working with mobile devices in
the classroom; in some cases, students could lose their attention to class due to cell phone
navigation. “As facilitators, it is impressive to lead students in the technological age,” as
mentioned by Sharples et al. (2005 as cited in Turc, 2017).
SELF-REGULATION TO IMPROVE ORAL INTERACTION 12
According to Deni and Zainal (2018), Padlet is a ‘free’ web 2.0 tool-platform where
virtual walls can be created. A virtual wall functions like a notice or a whiteboard where a
user can post multiple files on word documents, images, audio files, or videos. The creator
of a wall controls the content, design, layout, and privacy of the walls.
Communicative Language Teaching (CLT)
Lessard-Clouston (2018) expressed that interaction is an excellent opportunity for
English learners to understand each other using communicative activities to make
knowledge more understandable. A useful approach to increase communication and
interaction is CLT (Communicative Language Teaching), which is defined as a language
teaching method that focuses on interactive proficiency in different contexts and purposeful
features of genuine communication in the classroom (Şeker & Aydın, 2011). This author
also stated that CLT is the leading teaching method as a foreign or a second language (EFL
or ESL) to get significant results.
Krashen (1982) said that acquisition needs meaningful interaction in the destination
language in a natural communication where speakers are concerned not with the form of
their utterances but with the context they are conveying and understanding. The author
expressed that students require a real communication environment to create compelling
experiences that enhance learners' oral skills.
El Sakka (2016) stated that there are several strategies the speakers use to develop
their speaking, such as elaboration and planning strategies, evaluation strategies, reflection
strategies, goal orientation, and self-talk strategies to improve interaction in learners.
Bridges (2019) defined the action plan as a document to support the project from the start
until the end. It is a detailed list of the work that must be applied to complete the
document’s objective. It outlines what resources you’ll need to achieve that objective and
what your timeline will be.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 13
The literature presented in this action research has aligned primary studies of
different authors. Their methodologies and principles have been combined with various
procedures where investigators have shown that through the implementation of self-
regulation by mobile devices, students can interact more naturally, which will make
learners reflect on their learning to get long-term knowledge. The current study answered
the following questions:
Research Questions
1.- To what extent did oral interaction improve?
2.- To what extent did students’ self-assessment improve?
3.- What were the students’ perspectives of the innovation?
Innovation
This innovation’s primary purpose was to improve oral interaction in a group of
twenty-two ninth-graders from a rural high school in Manabi, Ecuador, from November
2019 to January 2020. After receiving the institution’s consent letter to implement the
innovation, students took the Proficiency test and obtained low results. Students were
taught to self-regulate using mobile devices during the six weeks that lasted this innovation,
including 30 class hours of classes. Cell phones were used to record videos and
conversations to reflect, self-assess, and make action plans for the teacher to grade.
Each student was also trained to self-assess their video tasks, set goals, and make an
action plan to improve and do it better next time. To store the information, students used
Padlet. Also, it was used for teachers and students to organize the recordings and self-
assessments. Planning their activities, the educator used Backward Design (Appendix A),
which focused on all activities on a transfer goal. Students were trained to self-assess by
watching videos in the Computer Lab to learn to use the rubric.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 14
Students were required to record five videos in pairs based on their regular program
using teacher guidelines to create interactive dialogues, which helped students improve
their oral interaction. Students prepared the dialogs and scripts, practiced repeatedly,
recorded themselves using mobile devices to store them on Padlet, and then self-assessed
using a speaking rubric (Appendix B).
The activities that were chosen to self-assess depended on the results of the previous
task. Students applied some strategies like extensive readings, listening to some podcasts,
writing little scripts, and recording their voices to do better in their next work. When the
researcher noticed that the action plan worked, the activities continued beyond. At the
beginning of the study, students were not so adapted to work with these kinds of strategies,
so the researcher applied the SILL with the study participants.
To know how students learned English before, the researcher applied the Strategy
Inventory for Language Learning (SILL). According to Oxford (2003), SILL has some
practical uses for various individuals and groups. Learners can employ the SILL to assess
their use of L2 strategies and determine whether their strategies are the most appropriate for
their own language learning goals and requirements.
Students received guidelines to create conversations based on each unit in their text.
The five videos had limited time between one minute, thirty seconds, and two minutes long.
An important aspect that students needed to consider during this innovation was the action
plan after each video recording.
Yousef et al. (2013) described two aims for acquiring communication strategies: “to
decrease students” anxiety, and “to increase students” willingness to participate in
conversations” (p. 207). These authors also commented about using some strategies like
Help-Seeking Strategies: they appeal for help and ask for repetition. Both encourage
learners to be engaged in oral communication by using expressions such as “Sorry, I do not
SELF-REGULATION TO IMPROVE ORAL INTERACTION 15
understand” and “Please repeat.” These expressions were used in class when learners did
not understand something.
Some students had an email account before beginning with the innovation, but a few
created them during the project. Moreover, participants were allowed to bring their devices
to the school to complete their videos. In this way, the work flowed much better, and at the
moment to assess their task, the rubric was easier graded and uploaded.
Although the school is in a rural environment, students were very adapted to
technology. They could manage cell phones and computers. Cell phones are handy
recording devices that also motivate students to improve their task better. The majority of
the students had a mobile device, so the activities could also be developed at home, using
and training their communicative skills with their Padlet, uploading recordings, interacting
with the app, writing, and reflecting on task. In the final part of the project, the teacher
interviewed some students with a semi-structured interview (Appendix C) made in Spanish
to know students’ perspectives about the innovation, considering their improvement, their
challenges, their effort, and overall their learning.
Methodology
This innovation was mixed-method two-phase action research. According to
(Johnson & Onwuegbuzie, 2004), “mixed methods research refers to techniques, methods,
approaches, and language of both quantitative and qualitative traditions.” (pp. 14-26).
Shorten and Smith (2017) stated that mixed research is a research approach where
investigators collect and analyze quantitative and qualitative data in the same study. The
study lasted six weeks. Quantitative results were obtained from the pre and posttests
qualitative data from the semi-structured interviews to answer these research questions:
General: What was the effect on oral interaction of using self-regulation facilitated
by mobile devices in a rural high school in Ecuador?
SELF-REGULATION TO IMPROVE ORAL INTERACTION 16
Specific: And the following specific questions guided the research:
1.- To what extent did oral interaction improve?
2.- To what extent did students’ self-assessment improve?
3.- What were the students’ perspectives of the innovation?
Participants.
The participants were a group of 22 learners ages 13 to 15 who were in the ninth
year of General Basic Education (EGB). The Strategy Inventory for Language Learning,
also called (SILL), in its Spanish version, was used to collect demographics and to know
what strategies the students used previously for learning English. This inventory was
developed by Rebecca Oxford (Oxford, 2003) and it was applied not only to collect
demographic information but also to give the students ideas for strategies for learning
English.
The SILL was used to identify learners’ preferred strategies for self-regulation
before the innovation began (Oxford, 2003). SILL has the following categories: (a)
remembering more effectively; (b) using all your mental processes; (c) Compensating for
missing knowledge; (d) organizing and evaluating your learning; (e) Managing your
emotions; and (f) learning with others.
The required English level in the ninth year is A2. Still, according to results
obtained from the Kaplan International Proficiency Test before the innovation began, 64%
had a low A1 English level, 27% got a high A1, and finally, two students who represent 9%
got an A2 level. Most of these learners took the proficiency test in the English Lab. A pair
of students took it in their houses by their mobile devices or using their computers because
they were sick in those days. Students commented that they were nervous taking the
proficiency test, and answered some questions without reading all the instructions.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 17
Ethical Considerations
Students need to be protected in their integrity as a group and as individuals. At the
beginning of the research study, the students were informed about implementing this
innovation project. Although their work was done in class time and following the course
content, it was necessary to ask parents because the recorded videos had a worldwide
audience, so it was required to obtain the written permission or acceptance from parents.
Pillay (2014) expressed that research ethics is an essential value where rights,
protection, and respect for participants are considered. The names of students and the
school were not used without permission. The videos were produced to self-assess
progress, but some students posted their videos on social networks. The institution
authorized the researcher to conduct this study. All the data collected were kept in the
researcher’s virtual folders without exposing anything related to names.
Instruments and Data Collection
The instruments were designed to collect the necessary information to answer the
three research questions: 1.- To what extent did oral interaction improve?; 2.- To what
extent did the students’ self-assessment improve?; and 3.- What were the students’
perspectives of the innovation? For the study, the independent variable was self-regulation,
and the dependent variable was oral interaction.
To answer research question one, video number 1 and video number 5 were used as
the pretest and posttest to grade their possible improvement. These videos measure
students’ range of vocabulary, pronunciation, and interaction. The videos’ length is 1:30 to
2:00 minutes, and the content was related to unit 5, following the guidelines from the
coursebook. The principal instrument to measure students’ possible improvement from
pretest grades to posttest grades was the speaking rubric, an adaptation from the Cambridge
Speaking A1 rubric.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 18
According to the Council of Europe (2018), for Cambridge scales of speaking
assessment, three criteria were initially proposed as appropriate for the amount and type of
language that candidates produce for A1 Movers exams: Grammar & Vocabulary,
Pronunciation, and Interaction. Additionally, all these criteria have specific characteristics
to fulfill. The speaking rubric descriptors were adapted from the A1 level form Cambridge
English Preliminary (2016).
The rubric descriptors were three, and each one was assigned three points, plus one
point for the action plan. A1 learners interacted in a simple way to assess interaction, but
communication was dependent on repetition, rephrasing, and repair. Students were able to
ask for support if required. They use the criteria, called descriptors from now on. The
rubrics used during the innovation were the same during all the innovation. Even though
they had different grammar tenses, topics, titles, and subtitles, it is necessary to mention
that students self-assessed the same descriptors in every task.
The Vocabulary descriptor was focused on the accuracy and a variety of words.
Students used the text lesson’s vocabulary and structure. On another side, pronunciation
assesses the stress and individual sounds. Students responded to a word, phrase, or more
extended utterance level. The student’s pronunciation was understandable with errors that
did not interfere with comprehension. The last point of the total of ten was given for the
action plan. The action plan included checking and reflecting on the results, goal setting,
and strategies to reach the goal. Students selected strategies to improve before the next task,
like improving interaction, how, when, and what to do. After that, the researcher used SPSS
to calculate and compare the means of students’ pre and posttest and sub-skills and
calculated the standard deviation and effect size using an online calculator.
To answer research question number two, to what extent did students’ self-
assessment improve? The improvement was determined by comparing the students’ self-
SELF-REGULATION TO IMPROVE ORAL INTERACTION 19
assessment mean to the teacher’s (expert) result for the first and last speaking assessments.
If the students’ results became closer to the teacher’s results, self-assessment skills
improved or were satisfactory.
To answer research question number three, to know the students’ perspectives about
the innovation, the researcher used a semi-structured interview (Appendix C). The main
interview objective was to know about students’ perspectives of challenges and positive
aspects of their learning. Eight students were chosen to participate in it. The selection was
made, taking into consideration different levels of progress. In this way, the researcher
could have perspectives from all the levels of students’ learning. The participants had to
answer seven questions in Spanish. The interview was done in Spanish to allow students to
express their likes and concerns, their challenges, and the positive and negative aspects they
had to overcome during the innovation.
Reliability and Validity
Taherdoost (2016) mentioned that validity tells how well the collected data covers
the current task. It means that the study measures what is supposed to be measured. This
task is valid because the rubric has been adapted from the Cambridge assessment (2020),
those rubrics whose instruments are internationally recognized. Cambridge (2020)
expresses that useful language tests should include tasks that represent at least some aspects
of what happens in real contexts, such as giving presentations, engaging in tutorials,
creating conversations, and recording some dialogues.
Moreover, Taherdoost (2016) also expressed that reliability concerns the extent to
which a measurement of a phenomenon provides a stable and consistent result. Reliability
relates to repeatability. For example, a test is reliable if different users repeat the analysis,
and approximately the same results are obtained. Before the study, the researcher tested the
reliability with English colleagues. Descriptors were read and clarified.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 20
The same happens with the validity of the instruments. Curran et al. (2011)
expressed that they applied a Delphi survey of experts prepared to validate the required
competencies in their study. They stated that “in the second phase, an assessment rubric
was developed based on the validated competencies and then evaluated for utility, clarity,
practicality, and fairness through multi-site focus groups with students and faculty at both
college and university levels” (p. 340). Something similar happened in the current research
because the rubric was validated with colleagues. In these sessions, every member
compared and contrasted opinions calibrating and clarifying the rubric.
The recently mentioned authors said that the rubric instrument might be used across
various professions and learning contexts. Besides this, the rubric is also adapted from the
Cambridge rubrics. Rubrics support their learning standards based on the common
European framework of reference for languages (Council of Europe, 2018), the level of
proficiency for this action research was A1. Muñoz et al. (2003) stated that logically, the
interpretations of a test score are affected by the set of tasks used to measure language
abilities and proper development; the logical estimation of validity also involved the
specification of the functions be used for assessment.
Results
To answer the research question number one to what extent did oral interaction
improve? The means of the pre-test and posttest were calculated, both tests were measured
with the speaking rubric. Table 1 shows the results.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 21
Table 1
Pre and posttest results
Sample
N
Mean
M
St. Dv.
SD
Effect Size
d PRETEST 22 6.28 1.16
POSTTEST 22 7.56 1.18 1.09
Results were 7.56 in the posttest against a 6.28 obtained at the beginning in the
pretest. The 1.28 point increase obtained has been possible due to the self-regulation
process. Table 1 shows that the effect size for oral interaction improvement is 1.09, which
is a large effect size (ES), according to Brydges (2019), who expressed that researchers
usually use Cohen’s guidelines as references. Cohen’s d around 0.20 is considered small, if
it is 0.50 as a medium, and finally if it is 0.80 or more it is regarded as a large effect size. It
means that there is evidence that demonstrates that progress was caused by innovation.
Table Nº 2 reflects the improvement in every subskill comparing the pre-test against
the post-test´ results demonstrating a considerable improvement.
Table 2
RQ #1 Oral interaction improvement: sub-skills results
Table 2 shows the effect size of the innovation in each sub-skill. Grammar and
Vocabulary had a large effect size of 1.07, for the Pronunciation sub-skill, the result was
SAMPLE PRETEST POSTTEST Effect
Size
Sub- Skills N M SD M SD d
Grammar &
Vocabulary 22 1.80 0.43 2.26 0.43 1.07
Pronunciation 22 1.73 0.41 2.13 0.44
0.94
Interaction 22 1.75 0.38 2.18 0.40 1.10
SELF-REGULATION TO IMPROVE ORAL INTERACTION 22
positive as well with 0.94. Finally, for Interaction, the effect size was the most significant
with 1.10. All the speaking sub-skills were checked and analyzed to understand better the
results. Improvement was noticeable in every sub-skill.
For answering the second research question, to what extent did self-assessment
improve? The teacher’s overall results and student self-assessment results were compared
for videos one and five. If the students’ and teachers’ results were closer at the end, it was
interpreted that with practice the students’ self-assessment skills had improved. The
comparison of teacher’s and students’ results are shown in Table 3, and also in Figure 1 it is
noticeable how students and teacher´s grades improved in the last videos.
Table 3
Comparison of teacher’s and students’ assessment results
Items Mean Video 1 Mean Video 5
Students´ Grades 6.05 7.50
Teacher´s Grades 6.28 7.56
Difference in points 0.23 0.06
Table Nº 3 reflects the comparison between students’ mean scores against the teacher's
mean scores which demonstrates improvement at the end of the innovation.
In Figure Nº 1 there is a visual representation of the similarities of the scores at the
end for both teacher and students.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 23
Figure Nº 1. Mean Comparison from Pre-test to Posttest.
.
The difference between the teacher’s scores and the students’ scores is relatively
small meaning that the pre-innovation training in self-assessment and using the rubric was
effective since the students’ and teacher’s scores demonstrated only a small difference from
the beginning.
To answer the research question number three to know the students’ perspectives of
the innovation, eight participants were chosen according to their progression in the group
were interviewed in Spanish using seven questions. Below is the interpretation of their
answers to understand their perspective of the innovation.
Question 1. What did you learn during the innovation? Students mainly said they
learned to self-assess their speaking, and when they saw their mistakes, they were able to
correct them. Others said that they improved in their fluency. Some of the students´
answers were, “In my opinion, my English improved a lot due to using it, and also
practicing.” (S2). (S3) said, “It was very hard to understand at the beginning, but I learned
more words in English because I practiced a lot with my cellphone and video recordings
helped me a lot to understand the language.” (S4) said, “I learned to speak in English
more fluently looking and listening to the videos recorded in Padlet.”
6.05
7.50
6.28
7.56
5
5.5
6
6.5
7
7.5
8
Mean Video 1 Mean Video 5
Mean Comparison from Video 1 to Video 5
Students´
Teacher´s
SELF-REGULATION TO IMPROVE ORAL INTERACTION 24
Question 2. What did you do to learn? Students talked about the strategies and
techniques used to improve their learning and the frequency that they applied in practicing
conversation, asking and answering questions, also with their pronunciation recording their
voices on the mobile phone, and practicing their listening as well. Answers also mentioned
that the constant practice of the tasks and videos improved that learning. Some of their
answers were, (S5) mentioned, “I listened to some music in my computer, and at the same
time I could read the subtitles in English.” (S6) mentioned, “I practiced speaking in a loud
voice for improving my pronunciation to record videos better.” Something which
especially called my attention was this answer: (S7) expressed, “Practicing with my
partners with on line conversations.”
Question 3. What did you like about the innovation? Students were diverse in their
answers, but all of them were happy for participating in the study, and talked about what
they liked more. Some of their answers were, (S1) said, “This way of learning (with
technology) is new. I tell my family now to listen to me speaking in English.” (S5) said, “I
loved to discover Padlet, it is amazing to store our tasks and all the lessons.” (S7) said,
“The principal thing was to see my videos online, and I enjoyed creating some imaginary
conversations with my partners.” (S8) answered, “I loved the opportunity to use cellphones
in classes to have real classes.”
Question 4. What were the challenges? The innovation sometimes looked harder for
some students because of time limitations, technology and lack of vocabulary. (S1)
expressed, “I felt that more than once, the videos became very demanding (of my time).”
(S3) mentioned, “Sometimes the internet was my worst enemy.” (S6) commented, “At the
beginning it was very complicated for me to record the videos without reading the paper,
but with the practice I did it better.” (S8) said, “For me, it was a little complicated to
understand the questions of my partner, but I had practiced more and more.”
SELF-REGULATION TO IMPROVE ORAL INTERACTION 25
Question 5. How did you feel using the rubrics to grade your own videos? Students
demonstrated a great commitment in all the innovation process, especially when they
graded themselves. Even in some cases, I talked to them because their self-assessment
grades were too low. Some of their answers were, (S1) commented, “it was good. I learned
a lot reading the descriptors, and I tried to be fair with myself.” (S5) expressed, “It was
good, and I liked the learning method.” (S7) said, “I felt a big responsibility, my job had to
be great and I needed to improve because English is my favorite subject.” (S8) mentioned,
“To tell you the truth, I felt very nervous every moment when I used the rubric. I thought
you were supposed to grade us, but after a while I got the idea.”
Question 6. Do you think your English level is adequate to have an English
conversation by yourself? Almost all the students answered in the same way. (S2)
mentioned, “I think my English level is adequate for talking with my partners.” (S5) said,
“I believe yes.” (S6) expressed, “I had some doubts at the beginning of the innovation, but
I trained to improve.” (S7) commented, “I don’t have the level yet, but I practice all the
time.”
Question 7. What would you like to learn in future English innovations? All of the
students agreed to have more self-regulation innovations for next academic period of
classes. They learned to set goals. They expressed that they wanted to improve their
English in a different way than before. Some of their answers were. (S2) expressed, “I
would like to improve my listening, to understand better different languages.” (S4)
answered, “I want to learn to speak faster than now.” (S7) said, “I want to have some
longer innovation to improve more.” (S8) mentioned, “I want to learn more things about
technology, the use and application of the apps.”
Students expressed their opinions and showed their perspectives about the
innovation, and overcame their challenges. Students were able to set goals, and they learned
SELF-REGULATION TO IMPROVE ORAL INTERACTION 26
how to self-assess during the training. Besides, they liked working with electronic devices
in the Computing Labs that was a useful resource to motivate students to improve their
learning.
Discussion
The use of self-regulation facilitated by mobile devices improved the oral
interaction in participants of this innovation. Additionally, results showed learners’
acquisition and responsibility during this interactive process. Students were worried about
doing a good job, especially for improving and developing oral skills. Ginther (2013)
mentioned that speaking could be one of the most challenging skills to develop. Therefore,
it was necessary to design some strategies to encourage students to participate in this
implementation focused on the self-regulation improvement in students.
As results confirmed for research question one, self-regulation improved oral
interaction with a large overall effect size of 1.09. According to Zimmerman (2002), self-
regulation is the selective use of strategies by which learners transform their mental
processes into academic skills adapted to individual learning tasks. Thus, students who
participated in the innovation worked with self-regulation components like self-assessment,
goal setting, and then making an action plan. Students were engaged and more active in
measuring their progress and using feedback assertively to be more independent in the next
steps of their training.
Participants were trained to self-assess speaking by assessing Cambridge videos,
plus practicing in the classroom where students finally understood what they had to do in
every step of the study. Students and the teacher analyzed the videos using the adapted
Cambridge speaking rubric, which confirmed that all of them improved oral interaction,
which means that students could learn in a short time to self-assess their work as reflected
on the results. They are ready to begin a new cycle.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 27
Results for research question number two about the improvement in self-assessment
indicate that there was little change in students’ and teacher’s means from the beginning of
data collection to the end. (Video One: Students’ Mean: 6.05 - Teacher’s Mean: 6.28, and
Video Five: Students’ Mean: 7.50 - Teacher’s Mean: 7.56). The researcher concluded that
the training that took place before the innovation started was practical, and students were
able to learn in a short time to self-assess their work, reflect on the results and begin a new
cycle. These results indicated similarities with Bueno et al. (2006), which also expressed
the challenges to develop oral skills, and how participants faced the challenges through
each task to achieve.
Results for research question number three indicate that students lived different new
experiences. All this new way of learning was a change for some of them; for others, this
innovation was the step to improve their knowledge and to increase the motivation for
working and learning better. According to their answers, students improved their speaking
fluency and comprehension, but the most they knew was their ability to learn from their
mistakes. They overcame their troubles, concerns, and acquired new strategies to recover
from their errors through self-assessing their work and, finally, increasing their knowledge.
Students noted their concerns, questions, and motivations for improving each task
proposing new strategies to improve their previous activity’s vulnerable parts. Students
reflected on what to improve and how and when to do it. Students interchanged ideas with
their partners inside and outside classes. Lessard-Clouston (2018) said that interaction is an
excellent opportunity for people to understand others through interactive activities and
making knowledge more comprehensible. These interactions helped them to learn more and
more.
The innovation was a different process than usual, and learners were motivated.
Krashen (2013) expressed that if students feel better, they will learn better, which happened
SELF-REGULATION TO IMPROVE ORAL INTERACTION 28
in implementing this action research. Students showed enthusiasm and commitment to
accomplishing the work all the time. Therefore, self-assessment had moderated
improvement; it was trained from their first beginning. Results demonstrated that Brown
and Harris (2014) mentioned that self-assessment must be taught as a part of self-
regulation, a competency developed in formal education. Students received constant
training using technological resources like their mobile devices or Padlet where they could
look for information, overcame difficulties, read the teacher’s comments and feedback, and
tried to fulfill the gaps presented in the innovation.
As the teacher, I had the opportunity to see my students training in and outside the
school. I remember a pair of them practicing and trying to record a video in the city’s park.
I felt pleased. When I checked Padlet daily, I noticed that students commented more, and
they did more than required. Self-assessment was necessary to teach, as confirmed by
Desautel (2009), self-assessment helps develop critical meta-cognitive skills that contribute
to a range of essential capabilities. The reflective practice improves self-assessment, setting
the criteria to self-assess explicitly.
In most cases, learners inflate their grades. Still, students in this study even were
under graded by themselves. In this specific case, they were hard in grading themselves, but
seeing those results, they were very motivated, and they showed a very positive
perspective. They loved to use Padlet and their mobile phones for their video recordings,
grading, and giving feedback. Brown and Harris (2014) stated that teachers also evaluate
their performances and give feedback about students’ weaknesses based on the rubric
criteria. Training students to self-regulate continued during the whole innovation. That is
why at the final part of the innovation, students’ and teacher’s final grades just presented a
little divergence of 0.06 points. The students understood how to analyze their oral
interaction.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 29
Conclusions
The investigation was part of a university project designed to improve oral
interaction in learners using self-regulation. When the study finished, the researcher
compared the results with similar studies concluding that students positively enhanced
every aspect of their learning processes such as their grammar, vocabulary, pronunciation,
and oral interaction due to self-regulation training.
Students took advantage of opportunities to improve oral interaction, learning to
self-assess by watching videos. They were nervous at the beginning of the innovation. Still,
after proper training, they could manage the tasks based on scripts and recording a
conversation where the oral interaction improved a little more in every task. They used the
speaking rubric and reflected carefully on rubric components to self-assess their work and
use feedback from the teacher.
Self-assessment was the primary strategy to promote self-regulation, and results
showed significant improvement in the tasks. Besides, the use of the SILL results allowed
the researcher to understand better how students learned before. Furthermore, by involving
the students actively in their learning, by sharing instruments like pre and posttests, the
rubric and reflections students could reach their goals. The use of Padlet was useful to
organize the researcher’s and students’ learning.
During the innovation, students were motivated to do a better job. Learners had the
advantage of using computers in the school English Lab and their own mobile devices. This
new way of learning was more attractive for students who felt the commitment to learn how
to self-regulate to efficiently improve their oral interaction by recording some videos and
training hard while gradually their speaking fluency improved.
Finally, as a conclusion of this action research, the teacher demonstrated that
implementing the self-regulation strategy using mobile devices was essential in the
SELF-REGULATION TO IMPROVE ORAL INTERACTION 30
participants’ oral interaction and self-assessment improvement. Even though time spent in
the innovation was short, it was based on the learning’s hard training and functional
development. Students could see their progression, as shown by the results. The work was
beneficial because students were engaged in doing their activities and improving a little
more.
Limitations
The limitations in this action research were present from the first moment when the
innovation began due to the sample’s small size. The small number of twenty-two
participants is a minimum sample size, and results cannot be generalized to another context.
Additionally, after finishing this innovation, another critical limitation was the limited time
set for applying this innovation. Additional time would provide more reliable and longer-
lasting results. Finally, the absence of a control group limited the possibility of comparing
this action research’s effectiveness.
Recommendations
As a recommendation of this action research, the author wants to express as
suggestions some advice to follow: First, it would be a good idea for all teachers to promote
oral interactions to teach self-regulation, not only in English. Second, if the innovation will
be part of some future study, it is recommended that it last longer with a control group to
strengthen conclusions. A third recommendation is for schools to facilitate the use of
technology because it engages students in learning. Also, schools should encourage action
research so the activities that can be facilitated by technology and learning can be better
understood.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 31
References
Al Hosni, S. (2014). Speaking difficulties encountered by young EFL learners.
International journal on studies in English language and Literature (IJSELL), (2)6,
22- 30. Retrieved from: https://www.researchgate.net/publication/270340628
Ally, M. (2009). Mobile Learning: Transforming the delivery of education and training.
Athabasca University: AU Press.
Alqahtani, A. (2019). The use of technology in English language teaching. Frontiers in
Education Technology, 2, 1-68. Doi: 10.22158/fet.v2n3p168.
American Council on the Teaching of Foreign Languages (ACTFL). (2009). Testing for
Proficiency. The ACTFL Oral Proficiency Interview. Retrieved from
http://www.actfl .org/i4a/pages/index.cfm?pageid=3348
American Psychological Association. (2020). People may lie to appear honest: Efforts to
avoid appearing dishonest may actually lead to lying. Science daily. Retrieved from
www.sciencedaily.com/releases/2020/01/200130081618.htm
Basantes, A., Naranjo, M., Gallegos, M., & Benítez, N. (2017). Mobile devices in the
learning process of the faculty of education science and technology of the technical
University of the north in Ecuador. Formación universitaria, 10(2), (79-
88). Retrieved from https://dx.doi.org/10.4067/S0718-50062017000200009
Bashir, M., Azeem, M., Ashiq, Dr, & Dogar, H. (2011). Factor affecting students' English
speaking skills. British journal of arts and social sciences. doi: 2. 2046-9578.
Bonifaz, D. (2020). Facilitating Self-Regulation with Mobile Devices to Improve Oral
Production. (Master´s thesis, Casa Grande University, Guayaquil, Ecuador)
Retrieved from http://dspace.casagrande.edu.ec:8080/handle/ucasagrande/2274
British Council. (2015). Education Intelligence. English in Ecuador. An Examination from
Policy, Perceptions and Influencing Factors. Retrieved from
SELF-REGULATION TO IMPROVE ORAL INTERACTION 32
https://www.teachingenglish.org.uk/sites/teacheng/files/English%20in%20Ecuador.
Bridges, J. (2019). How to Make an Action Plan. Project manager. Planning task
management. Retrieved from: https://www.projectmanager.com/training/make-
action-plan
Brown, H. D. (2006). Principles of language learning and Teaching, Fifth Edition. ISBN:
0-13-199128-0 Retrieved from: http://angol.uni-miskolc.hu/wp-
content/media/2016/10/Principles_of_language_learning.pdf
Brown, G. & Harris, L. (2014). The future of self-assessment in classroom practice:
Reframing self-assessment as a core competency. Frontiers of Learning Research,
3, 22-30. doi: 10.14786/flr.v2i1.24.
Brydges, C. (2019). Effect size guidelines, sample size calculations, and statistical power in
Gerontology. Innovation in Aging, (3)4. Pp. 1 – 8. doi:
https://doi.org/10.1093/geroni/igz036
Bueno, A., Madrid, D., & McLaren, N. (2006). TEFL in Secondary Education. TEFL in
Primary Education: Workbook. Granada: Editorial Universidad de Granada.
Cambridge Assessment. (2020). Cambridge Assessment English. What is Validity?
Retrieved from: https://www.cambridgeenglish.org/blog/what-is-validity/
Cambridge. (2020). Cambridge English Assessment. Retrieved from:
https://bit.ly/1Q2RMOi
Council of Europe (2018). Common European Framework of Reference: Learning,
Teaching, Assessment. Companion Volume with Descriptors. Retrieved from:
https://rm.coe.int/cefr-companion-volume-with-new-descriptors-2018/1680787989
Curran, V., & Hollett, A., & Casimiro, L., & Mccarthy, P., & Banfield, V., & Hall, P., &
Lackie, K., & Oandasan, I., & Simmons, B., & Wagner, S. (2011). Development
SELF-REGULATION TO IMPROVE ORAL INTERACTION 33
and Validation of the Interprofessional Collaborator Assessment Rubric (ICAR).
Journal of interprofessional care, 25. 339-344. doi.
10.3109/13561820.2011.589542.
Davila, A. (2020). Self-Regulation to Enhance Oral Interaction. (Master´s thesis, Casa
Grande University, Guayaquil, Ecuador) Retrieved from
http://dspace.casagrande.edu.ec:8080/handle/ucasagrande/2295
Deni, A. & Zainal, Z. (2018). Padlet as an educational tool: Pedagogical Considerations
and lessons learnt. doi: 10.1145/3290511.3290512.
Desautel, D. (2009). Becoming a Thinking Thinker: Metacognition, self-reflection, and
classroom practice. Teachers college record, 111. 1997-2020. Retrieved from
https://www.researchgate.net/publication/286877377_Becoming_a_Thinking_Think
er_Metacognition_Self-Reflection_and_Classroom_Practice
Education First. (2019). English Proficiency Index. A Ranking of 100 Countries and
Regions by English Skills. Retrieved from: https://www.ef.com.ec/epi/downloads/
El Sakka, S. (2016). Self-Regulated Strategy Instruction for Developing Speaking
Proficiency and reducing speaking anxiety of Egyptian university students. English
language teaching, 9(22). doi: 10.5539/elt.v9n12p22.
Epstein, R. M., Siegel, D. J., & Silberman, J. (2008). Self-monitoring in clinical practice: A
Challenge for medical educators,28. 5–13. doi: 10.1002/chp.149
Evidence for Policy and Practice Information and Coordinating Centre. (2002), A
Systematic Review of the impact of summative assessment and tests on students'
motivation for learning. Review conducted by the Assessment and Learning
Synthesis Group, EPPI, London.
Ginther, A. (2013). Assessment of speaking, 10. doi: 1002/9781405198431.wbeal0882.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 34
Johnson, R.B., & Onwuegbuzie, A.J. (2004). Mixed methods research: A research
paradigm whose time has come. In: Educational researcher, 33(7), 14–26.
Retrieved from:
https://sites.uci.edu/socscihonors/files/2017/09/Mixed_Methods_Research.pdf
Kannan, R. (2009). Difficulties in learning English as a second language. ESP world, 8(5).
1-4.
Krashen, S. (1982). Principles and Practice in Second Language Acquisition. Pergamon
Press Inc. Retrieved from:
http://www.sdkrashen.com/content/books/principles_and_practice.pdf
Krashen, S. (2013). Second language acquisition: Theory, applications, and some
conjectures. Mexico City: Cambridge University Press.
Laranjo, L, (2016). Participatory health through social media. Chapter 6. Social media and
health behavior change Macquarie University, Sydney, Australia. Retrieved from:
https://doi.org/10.1016/B978-0-12-809269-9.00006-2
Lessard-Clouston, M. (2018). Second language acquisition applied to English language
teaching. Retrieved from:
https://www.researchgate.net/publication/322294293_Second_Language_Acquisiti
on_Applied_to_English_Language_Teaching
Lipnevich, A., McCallen, L., Miles, K. & Smith, J. (2014). Mind the gap! Students’ use of
exemplars and detailed rubrics as formative assessment. Instructional science, 42.
doi: 10.1007/s11251-013-9299-9.
Louma, S. (2009). Assessing speaking. Cambridge language assessment series. 5.
Retrieved from:
http://assets.cambridge.org/97805218/04875/frontmatter/9780521804875_frontmatt
er.pdf
SELF-REGULATION TO IMPROVE ORAL INTERACTION 35
Ministerio de Educación del Ecuador (2012). Ecuadorian in-service English Teacher
Standards. The English Language Learning Standards. Retrieved from:
https://educacion.gob.ec/wp-
content/uploads/downloads/2012/09/estandares_2012_ingles_opt.pdf.
Ministerio de Educación Ecuador. (2014). National curriculum guidelines. English as a
foreign language. Retrieved from https://educacion.gob.ec/wp-
content/uploads/downloads/2014/09/01-National-Curriculum-Guidelines-EFL-
Agosto-2014.pdf
Muñoz, A., Álvarez, M., Casals, S., Gaviria, S., & Palacio, M. (2003). Validation of an oral
assessment tool for classroom use. Colombian Applied Linguistics Journal, (5).
139-157. Retrieved from:
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0123-
46412003000100009&lng=en&tlng=en.
National Research Council. (2001). Knowing What Students Know: The Science and
Design of Educational Assessment. Washington, DC: The National
AcademiesPress. Retrieved from: https://doi.org/10.17226/10019.
Ontaneda, M.L. (2019). Facilitating Self-Regulation by mobile devices to improve speaking
skills in a post baccalaureate technical school. Retrieved from
http://dspace.casagrande.edu.ec:8080/handle/ucasagrande/1817
Otlowski, M. (1998). Pronunciation: What are the expectations? The internet TESL
Journal, (4)1. Retrieved from: http://iteslj.org/Articles/Otlowski-Pronunciation.html
Oxford, R. L. (2003). The strategies inventory for language learning (SILL). Version 7.0
(ESL/EFL). Retrieved from: https://richarddpetty.files.wordpress.com/2010/03/sill-
english.pdf
SELF-REGULATION TO IMPROVE ORAL INTERACTION 36
Panadero, E., Brown, G., & Courtney, M. (2014). Teachers’ reasons for using self-
assessment: A survey self-report of Spanish teachers. Assessment in education
principles policy and practice, (21). 365-383). doi:
10.1080/0969594X.2014.919247.
Panadero, E., Brown, G. L., & Strijbos, J.-W. (2016). The future of student self-assessment:
A review of known unknowns and potential directions. Educ. Psychol. Rev. 28, 803–
830. doi: 10.1007/s10648-015-9350-2
Pillay, J. (2014). Ethical Considerations in Educational Research involving Children:
Implications for Educational Researchers in South Africa. South African Journal of
Childhood Education. 4(2), 194-212 Retrieved from:
http://www.scielo.org.za/pdf/sajce/v4n2/12.pdf
Qamar, M. (2016). The Impact of learner autonomy on teaching oral skills (speaking skills)
in an EFL classroom. Journal of language teaching and research, 7(2). pp. 293-298.
doi: http://dx.doi.org/10.17507/jltr.0702.07 ISSN 1798-4769.
Qian, D. (2009). Comparing Direct and semi-direct modes for speaking assessment:
Affective effects on test takers, language assessment quarterly, (6)2. pp. 113-125.
doi: 10.1080/15434300902800059
Raja, F.U. & Najmunnisa, Dr. (2018). Comparing traditional teaching method and
experiential teaching method using experimental research. Journal of education and
educational development, (5)2. 276. Retrieved from:
https://files.eric.ed.gov/fulltext/EJ1200262.pdf
Rao, P. (2019). The Importance of speaking skills in English classrooms, (2). 6-18. An
international peer-reviewed English journal. ISSN: 2581-6500
SELF-REGULATION TO IMPROVE ORAL INTERACTION 37
Richards, J. C. (2006). Communicative Language Teaching Today. New York: Cambridge
University Press. Retrieved from: https://www.professorjackrichards.com/wp-
content/uploads/Richards-Communicative-Language.pdf
Richards, J. (2017). Helping learners develop grammatical accuracy, fluency and
complexity. Retrieved from:
https://www.cambridge.org/elt/blog/2017/10/04/accurate-fluent-and-complex-
grammar/
Rivera, M. (2020). Facilitating self-regulation with Mobile Devices to improve Oral
Interactions. (Master´s thesis, Casa Grande University, Guayaquil, Ecuador)
Retrieved from http://dspace.casagrande.edu.ec:8080/handle/ucasagrande/2275
Robson, M. (2013). British Council. The English Effect. The impact of English, what it's
worth to the UK and why it matters to the world. Retrieved from:
https://www.britishcouncil.org/sites/default/files/english-effect-report-v2.pdf
Saltos, F. (2019). Facilitating self-regulation with mobile devices to improve speaking
skills in high school students in Ecuador (Master´s thesis, Casa Grande University,
Guayaquil, Ecuador) Retrieved from
http://dspace.casagrande.edu.ec:8080/handle/ucasagrande/1889
Saidouni, K., & Bahloul, A. (2016). Teachers and students’ attitudes towards using mobile-
assisted language learning in higher education. Arab world English journal (AWEJ).
International peer reviewed journal, 3. 123-140. Retrieved from:
https://www.awej.org/images/AllIssues/Specialissues/CALLjuly2016/10.pdf
Schunk, D. H., & Greene, J.A. (2018). Handbook of Self-Regulation of Learning and
Performance (2nd edition, pp. 1-15). New York. Taylor & Francis.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 38
Şeker, E., & Aydın, İ. (2011). Communicative approach as an English language teaching
method: Van Atatürk Anatolian high school sample. Pegem Eğitim ve Öğretim
Dergisi. (1). (Pp. 39-49). doi: 10.14527/C1S1M5.
Shanker, S. (2012). Report of the 2012 thinker in residence: Self-regulation. Subiaco,
western Australia: Commissioner for children and young people western Australia.
Retrieved from: http://www.self-
regulation.ca/download/pdf_documents/Thinker%20in%20Residence%20report%2
02012.pdf
Sharma, R., Jain, A., Gupta, N., Garg, S., Batta, M., & Dhir, S. K. (2016). Impact of self-
assessment by students on their learning. International Journal of Applied & Basic
Medical Research, 6(3), 226–229. https://doi.org/10.4103/2229-516X.186961
Shorten, A. & Smith, J. (2017). Mixed methods research: Expanding the evidence base,
BMJ Journals. 20(3). 74-75. doi: 10.1136/eb-2017-102699
Taherdoost, H. (2016). Validity and reliability of the research instrument; How to test the
validation of a questionnaire/survey in a research. International journal of academic
research in management. 5. 28-36. doi: 10.2139/ssrn.3205040.
Tenelanda, D., & Castelo, M. (2016). International conference. ICT for language learning.
The use of mobile phones through audio and voice recordings to improve English
pronunciation and intonation. Retrieved from: https://conference.pixel-
online.net/ICT4LL/files/ict4ll/ed0009/FP/3188-ICL2041-FP-ICT4LL9.pdf
Turc, L. (2017). Mobile-Assisted language learning (MALL) rate issues. A biannual open-
source peer-reviewed TEFL journal. ISSN 1844-6159. Retrieved from:
https://rate.org.ro/blog2.php/1/mobile-assisted-language-learning-mall
SELF-REGULATION TO IMPROVE ORAL INTERACTION 39
Yousef, R., Jamil, H., & Razak, N. (2013).Willingness to Communicate in English: A Study
of Malaysian. Pre-Service English Teachers. English Language Teaching, 6(9) 205-
216). Retrieved from: http://dx.doi.org/10.5539/elt.v6n9p205
Zimmerman, B.J. (1990). Self-Regulated Learning and Academic Achievement: An
overview, educational psychologist, 25(1), 3-17 doi: 10.1207/s15326985ep2501_2
Retrieved from
https://ciel.viu.ca/sites/default/files/self_regulated_learning_and_academic_achieve
ment_an_overview_0.pdf
Zimmerman, B.J. (2010). Becoming a self-regulated learner: An overview. Theory into
practice, 41(2), 64-70. http://dx.doi.org/10.1207/s15430421tip4102_2 Retrieved
from http://saifulislam.com/wp-content/uploads/2016/10/Becoming-a-Self-
Regulated-Learner-An-Overview.pdf
SELF-REGULATION TO IMPROVE ORAL INTERACTION 40
Appendixes
Appendix A
Backward Design. Lesson Plan.
Available upon request.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 41
Appendix B
Rubric
Available upon request.
SELF-REGULATION TO IMPROVE ORAL INTERACTION 42
Appendix C
Interview Protocol
Available upon request.