ChatGPT’s effects on EFL learners’ autonomy and self-efficacy in self-regulated learning contexts

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This study compares the effects of ChatGPT-facilitated and human teacher-facilitated project-based learning (PBL) on learner autonomy and self-efficacy among Vietnamese EFL students in a language training center. Using an explanatory sequential mixed-methods design, fifty participants were randomly assigned to either a ChatGPT-facilitated group or a teacher-facilitated group for an eight-week project-based intervention. Learner autonomy and self-efficacy were measured before and after the intervention. Quantitative data were analyzed using independent t-tests and one-way ANCOVA, while qualitative data from focus group interviews were coded and thematically analyzed. The results indicated that the ChatGPT group achieved significantly greater gains in learner autonomy, whereas both groups improved equally in self-efficacy. Qualitative analysis revealed that AI facilitation encouraged group initiative and experimentation, while teacher facilitation reinforced established routines and delegated authority. These findings demonstrate the potential of AI-driven facilitation to promote learner autonomy and suggest that blended models combining AI and human strengths may optimize language learning outcomes.

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  • 10.5539/ijel.v15n6p73
ChatGPT in EFL Learning: Technology Acceptance and Learner Autonomy Among Saudi University Students
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  • International Journal of English Linguistics
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This study explores Saudi EFL learners’ perceptions of ChatGPT and its influence on their learner autonomy, integrating the technology acceptance model (TAM) with autonomy theory. A sequential explanatory mixed-methods design was employed with 103 Saudi EFL learners at a large public university in Saudi Arabia; qualitative interviews with five participants provided deeper insight. Quantitative data came from a questionnaire on perceived usefulness, ease of use, attitudes, behavioral intention, and autonomy (self-regulation, motivation, and independent decision-making). Results showed high levels of ChatGPT use and generally positive perceptions. Consistent with TAM, perceived usefulness and perceived ease of use were strongly linked to behavioral intention, and ease of use was linked to actual use; in turn, usage was positively associated with self-regulation, motivation, and independent decision-making. Thematic analysis showed that students valued immediacy, affective safety, and flexibility, while maintaining selective trust and ethical awareness. Overall, students viewed ChatGPT as a supportive and motivating tool that can complement (not replace) instruction and associated it with higher self-reported autonomy when used responsibly. The findings also point to affective and metacognitive factors (e.g., feelings of safety, prompting literacy) that may enrich TAM-based explanations of AI acceptance in EFL contexts.

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  • Cite Count Icon 1
  • 10.28945/5182
Discovering Insights in Learning Analytics Through a Mixed-Methods Framework: Application to Computer Programming Education
  • Jan 1, 2023
  • Journal of Information Technology Education: Research
  • Edna Johanna Chaparro Amaya + 2 more

Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3) integration and discussion of results. Furthermore, we illustrated the application of this framework by examining the relationships between learning process metrics and academic performance in the subject of Computer Programming coupled with content analysis of the responses to a students’ perception questionnaire of their learning experiences in this subject. Background: There is a prevalence of quantitative research designs in learning analytics, which limits the understanding of students’ learning processes. This is due to the abundance and ease of collection of quantitative data in virtual environments and learning management systems compared to qualitative data. Methodology: This study uses a mixed-methods, non-experimental, research design. The quantitative phase of the framework aims to analyze the data to identify behaviors, trends, and relationships between measures using correlation or regression analysis. On the other hand, the qualitative phase of the framework focuses on conducting a content analysis of the qualitative data. This framework was applied to historical quantitative and qualitative data from students’ use of an automated feedback and evaluation platform for programming exercises in a programming course at the National University of Colombia during 2019 and 2020. The research question of this study is: How can mixed-methods research applied to learning analytics generate a better understanding of the relationships between the variables generated throughout the learning process and the academic performance of students in the subject of Computer Programming? Contribution: The main contribution of this work is the proposal of a mixed-methods learning analytics framework applicable to computer programming courses, which allows for complementing, corroborating, or refuting quantitatively evidenced results with qualitative data and generating hypotheses about possible causes or explanations for student behavior. In addition, the results provide a better understanding of the learning processes in the Computer Programming course at the National University of Colombia. Findings: A framework based on sequential explanatory mixed-methods design in the field of learning analytics has been proposed to improve the models used to support the success of the learning process and the learner. The answer to the research question posed corresponds to that the mixed methods effectively complement quantitative and qualitative data. From the analysis of the data of the application of the framework, it appears that the qualitative data, representing the perceptions of the students, generally supported and extended the quantitative data. The consistency between the two phases allowed us to generate hypotheses about the possible causes of student behavior and provide a better understanding of the learning processes in the course. Recommendations for Practitioners: We suggest implementing the proposed mixed-methods learning analytics framework in various educational contexts and populations. By doing so, practitioners can gather more diverse data and insights, which can lead to a better understanding of learning processes in different settings and with different groups of learners. Recommendation for Researchers: Researchers can use the proposed approach in their learning analytics projects, usually based exclusively on quantitative data analysis, to complement their results, find explanations for their students’ behaviors, and understand learning processes in depth thanks to the information provided by the complementary analysis of qualitative data. Impact on Society: The prevalence of exclusively quantitative research designs in learning analytics can limit our understanding of students’ learning processes. Instead, the mixed-methods approach we propose suggests a more comprehensive approach to learning analytics that includes qualitative data, which can provide deeper insight into students’ learning experiences and processes. Ultimately, this can lead to more effective interventions and improvements in teaching and learning practices. Future Research: Potential lines of research to continue the work on mixed-method learning analytics methodology include the following: first, implementing the framework on a different population sample, such as students from other universities or other knowledge areas; second, using techniques to correct unbalanced data sets in learning analytics studies; third, analyzing student interactions with the automated grading platform and their academic activities in relation with their activity grades; last, using the findings to design interventions that positively impact academic performance and evaluating the impact statistically through experimental study designs. In the context of introductory programming education, AI/large language models have the potential to revolutionize teaching by enhancing the learning experience, providing personalized support, and enabling more efficient assessment and feedback mechanisms. Future research in this area is to implement the proposed framework on data from an introductory programming course using these models.

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  • Elham Taghipour Ahangar

The present study tried to indicate the effectiveness of self-regulated strategies on second grade junior high school learners' autonomy in learning vocabulary. To do this, out of 46 students of two intact classes who were selected based on cluster sampling, 40 of them labeled as pre-intermediate ones and participated in this study. Then, they were randomly assigned in two groups as control and experimental, each with 20 students. Participants of the experimental group subjected to employ self-regulated learning strategies for ten sessions, however the control group followed the normal way of teaching with no treatment. To gather data, learner's autonomy questionnaire developed by Zhang and Li (2004) was used. That is to say, the questionnaire specified the students' autonomy in vocabulary learning at the end of the teaching period in both groups. Data were analyzed through SPSS software, and analysis of findings indicated a significance difference between the participants of two groups in terms of learning autonomy. Finally, the study concluded that using self-regulation strategies have significant effect on EFL learners' autonomy in vocabulary improvement. Findings of this work provide positive experience for students as well as teachers. It is hoped that they can reveal the importance of the mentioned strategies in the educational system.

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  • Mar 14, 2022
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Saudi EFL learners have been traditionally described as non-autonomous. During the coronavirus pandemic, Saudi universities shifted to online education. Scholars maintain that online education by its very nature enhances learner autonomy. The current study, that was conducted after students received three semesters of online education, aimed to explore the effect of the shift to online education on Saudi college EFL learners’ autonomy. It also investigated gender differences in learner autonomy. Both quantitative data by means of a self-report questionnaire (N=306) and qualitative data by means of a semi-structured online interview (N=20) were collected and analyzed. Quantitative data revealed that Saudi college EFL learners are autonomous (with a total mean of 4.02 out of 5). This mean is much higher than the means obtained in studies conducted before the shift to online education. Females outperformed males in just one dimension of learner autonomy, autonomous learning enjoyment. No gender differences were found in the other dimensions of learner autonomy or total learner autonomy. Qualitative data analysis indicated that students attributed to online education improvement in five important aspects of their learner autonomy, namely, goal setting and organization of study time, the use of the Internet and social media as learning resources, the use of performance feedback, self-assessment and computer skills. An aspect that witnessed some improvement but still has room for much improvement is reflection on learning.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0926/a.php" alt="Hit counter" /></p>

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INVESTIGATING THE IMPORTANCE LEVEL AND UTILIZATION OF VOCABULARY LEARNING STRATEGIES AMONG TURKISH
  • Apr 27, 2020
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  • Melek Yolcu + 1 more

This study aims to investigate (a) the perceptions of 8th grade Turkish EFL learners regarding the importance and use of L2 vocabulary learning strategies (VLS), (b) to find out the relationship between perceived importance level and application level of VLS and (c) to unearth the most and the least frequently applied VLS by EFL learners in their learning processes. A mixed-method sequential explanatory design was adopted in this study. The quantitative data were collected through a questionnaire based on Schmitt's taxonomy of VLS from 398 participants and analyzed via SPSS; qualitative data were obtained from focus group interviews conducted with 45 volunteer participants and analyzed through thematic analysis. The findings indicated that EFL learners attribute a great level of significance to vocabulary learning. It also revealed that there is a significant relationship between importance and application level of VLS, which demonstrates that the strategies that were given most importance were applied on a larger scale by learners.
 
 Keywords: English Language Learning, Vocabulary Learning, Vocabulary Learning Strategies, Learner Perceptions.
 NB: Please note that the first author is Melek YOLCU.

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A STUDY ON THE LEARNER AUTONOMY IN LEARNING ENGLISH TO CHINESE EFL STUDENTS IN SHANDONG INSTITUTE OF SCIENCE AND TECHNOLOGY VOCATIONAL COLLEGE
  • Sep 30, 2023
  • The EUrASEANs: journal on global socio-economic dynamics
  • Xiangyu Liu

In the context of learner autonomy, this study adopts mixed qualitative and quantitative research to investigate the EFL students’ autonomy in learning English at Shandong Institute of Science and Technology Vocational College, with the two research questions: (1) What is the current status of the autonomy in English language learning among Chinese EFL students in higher vocational institutions? (2)What are the main factors that affect the learner autonomy in learning English of EFL students in Chinese higher vocational institutions? With the stratified sampling method, one-hundred twenty-five sophomore students were randomlyselected from five majors to complete the close-ended questionnaire and 15 students among them were selected to participate in the focus-group interview. With a recovery rate of 92.8%, 125 pieces of the questionnaire were distributed and 116 pieces were valid. The data analysis tool adopts SPSS and thematic analysis. This study finds that the current EFL students have a relatively low level of autonomy in learning English and from the four dimensions of learner autonomy, the sociocultural dimension (M=2.87) is the lowest, compared to other three dimensions: political-philosophical (M=2.96), technical (M=2.99), psychological (M=3.21). The data from the focus group interviews presents the finding that students lack guidance from teachers to engage in autonomous learning. The personal correlation coefficient reflects that English teachers’ role is the largest factor in affecting students’ level of autonomy learning in English. Such findings recommend that English teachers in higher vocational institutions should notice their importance in the cultivation of learner autonomy in their students and adopt student-centred teaching based on learner autonomy.

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  • Aug 24, 2025
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Learner autonomy is a critical outcome in EFL education, yet the mechanisms through which instructional frameworks and educator behavior influence autonomous learning remain underexplored. This study investigates the impact of the New Learning Guidelines, a structured pedagogical framework, on the development of learner autonomy among undergraduate EFL students. Employing an explanatory sequential mixed-methods design, the study involved 539 students categorized into positive (n = 78) and negative (n = 462) attitudinal groups. The quantitative data were collected through structured questionnaires, and qualitative data were collected via semi-structured interviews. Quantitative findings revealed that students with positive attitudes demonstrated substantial gains in goal setting, strategic planning, and self-monitoring, whereas those with negative attitudes showed limited improvement from structure alone. Thematic analysis underscored the role of relational scaffolding, emotionally responsive, supportive teacher-student interactions as a critical factor in fostering autonomy among disengaged learners. These findings challenge deficit-based perspective on learner motivation and advance autonomy theory by emphasizing its socio-relational dimension. The study suggests EFL educators may integrate clear instructional guidelines with affective and relational pedagogies to address diverse learner dispositions. Practically, the findings underscore the need for teacher training programs to integrate relational strategies with structural management to promote learner autonomy effectively.

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