Using ChatGPT to promote research competency: English as a Foreign Language undergraduates' perceptions and practices across varied metacognitive awareness levels
Abstract
Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a Foreign Language (EFL) students' research competency. Moreover, while the literature primarily focuses on the perspectives of scholars and teachers, it is essential to incorporate students' viewpoints in order to maximize the potential of this technology. Objectives: The present study investigated EFL undergraduates' perceptions and practices of ChatGPT as a tool for promoting their research competency. Additionally, the study examined the potential influence of metacognitive awareness (MA) levels in this context. Methods: The study utilized a mixed‐method research design, collecting quantitative and qualitative data from 27 EFL undergraduates (12 with low MA and 15 with high MA) over one semester. Data sources included a self‐report questionnaire, self‐study log, and semi‐structured interviews. Results and conclusions: Quantitative analysis showed significant differences between low and high MA groups in their perceptions of ChatGPT ( U = 37.500, Z = 2.570). Regression analysis revealed a positive correlation between MA scores and students' perceptions and practices of ChatGPT. Qualitative analysis revealed diverse perceptions and practices of ChatGPT between the high MA and low MA groups, showcasing behaviours ranging from replication to using ChatGPT as a thought‐stimulating and supportive tool, accessing supplementary information, and seeking guidance. Key factors for effective ChatGPT use included prompt formulation, systematic thinking, self‐regulation strategies, and trust in AI.
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Students need tailored support to effectively use chatbots for self-regulated learning.
“Abdelhalim (2024) found that students with high metacognitive awareness used ChatGPT more skillfully for research than those with lower awareness, suggesting students need tailored support to effectively use chatbots for self-regulated learning.”
From Using ChatGPT is easy, using it effectively is tough? A mixed methods study on K-12 students’ perceptions, interaction patterns, and support for learning with generative AI chatbots (2025) · cites this paper as Abdelhalim, 2024
There is a gap in understanding how K-12 students interact with tools, particularly in adapting chatbot responses to individual needs.
“There is a gap in understanding how K-12 students interact with tools, particularly in adapting chatbot responses to individual needs.”
From Using ChatGPT is easy, using it effectively is tough? A mixed methods study on K-12 students’ perceptions, interaction patterns, and support for learning with generative AI chatbots (2025) · cites this paper as Abdelhalim, 2024
Cites
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282 · see citing works
(2017) · Cited by 9,643 · see citing works
Assessing Metacognitive Awareness
Schraw, G., & Dennison, R. S. (1994) · Contemporary Educational Psychology · doi:10.1006/ceps.1994.1033 · Cited by 3,199 · see citing works
Learning Strategies in Second Language Acquisition
O'Malley, J. M., & Chamot, A. U. (1990) · doi:10.1017/cbo9781139524490 · Cited by 2,771 · see citing works
The relation between 21st-century skills and digital skills: A systematic literature review
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.010 · Cited by 2,006 · see citing works
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003 · see citing works
Research Methods in Applied Linguistics
Dörnyei, Z., & Griffee, D. T. (2010) · TESOL Journal · doi:10.5054/tj.2010.215611 · Cited by 1,600 · see citing works
The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing
Pintrich, P. R. (2002) · Theory Into Practice · doi:10.1207/s15430421tip4104_3 · Cited by 1,508 · see citing works
Vision, challenges, roles and research issues of Artificial Intelligence in Education
Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100001 · Cited by 1,435 · see citing works
A SWOT analysis of ChatGPT: Implications for educational practice and research
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2195846 · Cited by 1,384 · see citing works
ChatGPT for Language Teaching and Learning
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · RELC Journal · doi:10.1177/00336882231162868 · Cited by 1,371 · see citing works
Metacognition, Motivation, and Understanding
Weinert, F. E., & Kluwe, R. H. (2026) · Routledge eBooks · doi:10.4324/9781003758167 · Cited by 1,369 · see citing works
Promoting General Metacognitive Awareness
Schraw, G. (2001) · Neuropsychology and Cognition · doi:10.1007/978-94-017-2243-8_1 · Cited by 1,245 · see citing works
(2019) · Open Research Online (The Open University) · Cited by 1,004 · see citing works
Artificial Intelligence in Education: The Three Paradigms
Ouyang, F., & Jiao, P. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100020 · Cited by 991 · see citing works
ChatGPT in higher education: considerations for academic integrity and student learning
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.17 · Cited by 853 · see citing works
Interacting with educational chatbots: A systematic review
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11177-3 · Cited by 841 · see citing works
Strzelecki, A. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2209881 · Cited by 807 · see citing works
Using ChatGPT for second language writing: pitfalls and potentials
Barrot, J. S. (2023) · Assessing Writing · doi:10.1016/j.asw.2023.100745 · Cited by 770 · see citing works
Efklides, A. (2008) · European Psychologist · doi:10.1027/1016-9040.13.4.277 · Cited by 729 · see citing works
Impact of ChatGPT on learners in a L2 writing practicum: an exploratory investigation
Yan, D. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11742-4 · Cited by 713 · see citing works
Azevedo, R., & Hadwin, A. F. (2005) · Instructional Science · doi:10.1007/s11251-005-1272-9 · Cited by 596 · see citing works
Paris, S. G., Cross, D., & Lipson, M. Y. (1984) · Journal of Educational Psychology · doi:10.1037/0022-0663.76.6.1239 · Cited by 557 · see citing works
AI bot ChatGPT writes smart essays — should professors worry?
Stokel-Walker, C. (2022) · Nature · doi:10.1038/d41586-022-04397-7 · Cited by 543 · see citing works
Effectiveness of learning strategy instruction on academic performance: A meta-analysis
Donker, A. S., de Boer, H., Kostons, D., Dignath van Ewijk, C. C., & van der Werf, M. P. C. (2014) · Educational Research Review · doi:10.1016/j.edurev.2013.11.002 · Cited by 489 · see citing works
Measures of Children's Knowledge and Regulation of Cognition
Sperling, R. A., Howard, B. C., Miller, L. A., & Murphy, C. (2002) · Contemporary Educational Psychology · doi:10.1006/ceps.2001.1091 · Cited by 469 · see citing works
Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis
Winters, F. I., Greene, J. A., & Costich, C. M. (2008) · Educational Psychology Review · doi:10.1007/s10648-008-9080-9 · Cited by 382 · see citing works
Human-Centered Artificial Intelligence and Machine Learning
Riedl, M. O. (2019) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.117 · Cited by 352 · see citing works
Metacognitive Awareness and Academic Achievement in College Students.
Young, A., & Fry, J. D. (2008) · Indiana Magazine of History (Indiana University) · Cited by 324 · see citing works
The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts
Hosseini, M., Resnik, D. B., & Holmes, K. (2023) · Research Ethics · doi:10.1177/17470161231180449 · Cited by 253 · see citing works
Lee, J. S., & Lee, K. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12955 · Cited by 208 · see citing works
Academic integrity in the age of Artificial Intelligence (AI) authoring apps
Yeo, M. A. (2023) · TESOL Journal · doi:10.1002/tesj.716 · Cited by 142 · see citing works
Scaffolding genre knowledge and metacognition: Insights from an L2 doctoral research writing course
Negretti, R., & McGrath, L. (2018) · Journal of Second Language Writing · doi:10.1016/j.jslw.2017.12.002 · Cited by 136 · see citing works
Self-regulation of learning: Process approaches to personal development.
Zimmerman, B. J., & Labuhn, A. S. (2011) · American Psychological Association eBooks · doi:10.1037/13273-014 · Cited by 122 · see citing works
Teng, M. F. (2019) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2019.1615493 · Cited by 121 · see citing works
Chen, W., & Hapgood, S. (2019) · Language Teaching Research · doi:10.1177/1362168819837560 · Cited by 65 · see citing works
Developing secondary school English language learners' productive and critical use of ChatGPT
Javier, D. R. C., & Moorhouse, B. L. (2023) · TESOL Journal · doi:10.1002/tesj.755 · Cited by 63 · see citing works
Human learning and learning analytics in the age of artificial intelligence.
Istenič Starčič, A. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12879 · Cited by 59 · see citing works
Händel, M., & Fritzsche, E. S. (2015) · Memory & Cognition · doi:10.3758/s13421-015-0552-0 · Cited by 56 · see citing works
Wannapiroon, P. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.05.361 · Cited by 54 · see citing works
Causal Model of Research Competency Via Scientific Literacy of Teacher and Student
Udompong, L., Traiwichitkhun, D., & Wongwanich, S. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.01.438 · Cited by 54 · see citing works
Fostering EFL teachers' CALL Competencies Through Project-based Learning
Tseng, S.-S., & Yeh, H. (2019) · Tamkang University Institutional Repository (TKUIR) · Cited by 39 · see citing works
A Case Study of Developing Research Competency in University Students
(2020) · European Journal of Contemporary Education · doi:10.13187/ejced.2020.3.592 · Cited by 38 · see citing works
Academic literacy among the university students in Mexico and Spain: A holistic perspective
Castillo-Martínez, I. M., Regalado, C. P. C., Glasserman‐Morales, L. D., & Soledad, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1055954 · Cited by 18 · see citing works
Abdelhalim, S. M. (2022) · Language Teaching Research · doi:10.1177/13621688221100296 · Cited by 15 · see citing works
Self-citationThe Role of Researcher Competencies in Delivering Successful Research
Rumman, A. A. A., & Alheet, A. F. (2019) · doi:10.7176/ikm/9-1-05 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Generative AI (GenAI) in the language classroom: A systematic review
Lee, S., Choe, H., Zou, D., & Jeon, J. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2025.2498537 · Cited by 158 · see citing works
Li, B., Tan, Y. L., Wang, C., & Lowell, V. L. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100445 · Cited by 180 · see citing works
Teng, M. F. (2024) · European Journal of Education · doi:10.1111/ejed.12811 · Cited by 118 · see citing works
Interacting with ChatGPT for internal feedback and factors affecting feedback quality
Tam, A. C. F. (2024) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2374485 · Cited by 77 · see citing works
A scoping review of empirical studies on generative artificial intelligence in language education
Wang, Y., Zhang, T., Yao, L., & Seedhouse, P. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2509759 · Cited by 106 · see citing works
Ma, W., Wen-jing, M., Hu, Y., & Xinyu, B. I. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13128-6 · Cited by 71 · see citing works
Generative AI and English language teaching: A global Englishes perspective
Lee, S., Jeon, J., McKinley, J., & Rose, H. (2025) · Annual Review of Applied Linguistics · doi:10.1017/s0267190525100184 · Cited by 68 · see citing works
Klar, M. (2025) · Smart Learning Environments · doi:10.1186/s40561-025-00385-2 · Cited by 39 · see citing works
Xia, L., Shen, K., Sun, H., An, X., & Dong, Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13137-5 · Cited by 38 · see citing works
Understanding EFL student writers’ metacognitive awareness in utilizing ChatGPT
Teng, M. F. (2025) · System · doi:10.1016/j.system.2025.103848 · Cited by 49 · see citing works
Liu, Z., Zhang, W., & Yang, P. (2025) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2456512 · Cited by 39 · see citing works
Feng, S. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13611 · Cited by 40 · see citing works
Effects of GenAI Interventions on Student Academic Performance: A Meta-Analysis
Gu, J., & Yan, Z. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251349620 · Cited by 30 · see citing works
Enhancing Resilience through Generative Artificial Intelligence such as ChatGPTPreprint
Paramesha, M., Rane, N., & Rane, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4832533 · Cited by 25 · see citing works
Xiao-hua, L., Xiao, Y., & Li, D. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00567-5 · Cited by 31 · see citing works
Wu, X.-Y., Radloff, J., Yeter, I. H., Wang, L., & Chiu, T. K. F. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2563086 · Cited by 29 · see citing works
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Teng, M. F. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009581295 · Cited by 19 · see citing works
Huang, C., Zhong, Y., Li, Y., Wang, X., Han, Z., Zhang, D., & Liu, M. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04919-4 · Cited by 26 · see citing works
Du, Y., & Reynolds, B. L. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105307 · Cited by 21 · see citing works
Xiao, Y., Xiao-hua, L., & Yao, Y. (2025) · System · doi:10.1016/j.system.2025.103790 · Cited by 19 · see citing works
Zhang, Y., & Liu, Y. (2025) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2025.2571846 · Cited by 15 · see citing works
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Teng, M. F., & Shen, X. (2025) · International Journal of Applied Linguistics · doi:10.1111/ijal.70049 · Cited by 17 · see citing works
Hosayny, O. E., Razkane, H., & Yeou, M. (2026) · Discover Education · doi:10.1007/s44217-026-01282-7 · Cited by 16 · see citing works
Chen, G., Wang, H., Liang, A., Oubibi, M., & Zhou, Y. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100756 · Cited by 26 · see citing works
Bekturova, M., Tulepova, S., & Zhaitapova, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13306-6 · Cited by 10 · see citing works
McLaughlin, J. E., Ponte, C. D., & Lyons, K. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07390-6 · Cited by 9 · see citing works
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Patrick, P., Yip, S. Y., & Campbell, C. (2025) · Higher Education Quarterly · doi:10.1111/hequ.70069 · Cited by 29 · see citing works
Huang, H. L., Hwang, G., Chen, P.-Y., & Hwang, G. H. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-025-10583-x · Cited by 12 · see citing works
Cui, W., & Zhang, J. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2546634 · Cited by 7 · see citing works
Lei, Y., Liu, J., Fu, X., Zhao, J., & Yi, B. (2025) · Computer Applications in Engineering Education · doi:10.1002/cae.70075 · Cited by 14 · see citing works
Cong‐Lem, N., Nguyen, T. T., Nguyen, K. N. H., & Nguyen, Q. N. H. (2026) · English Teaching & Learning · doi:10.1007/s42321-025-00217-z · Cited by 8 · see citing works
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Cong‐Lem, N. (2025) · London Review of Education · doi:10.14324/lre.23.1.16 · Cited by 6 · see citing works
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Medina, J., Morales, M., Barchino, R., Amado-Salvatierra, H. R., & Hernández-Rizzardini, R. (2026) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1708114 · Cited by 7 · see citing works
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Uygun, E., & Demir, B. (2026) · Discover Education · doi:10.1007/s44217-026-01504-y · Cited by 10 · see citing works
Abdelhalim, S. M., Alsuhaibani, Z., & Alsahil, A. A. (2025) · SAGE Open · doi:10.1177/21582440251374800 · Cited by 4 · see citing works
Self-citationEnhancing Badminton Rule Learning Through a GPT ‐Integrated LINE Bot
Lin, K.-C., Hung, H.-C., & Chen, N. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70231 · Cited by 2 · see citing works
Niu, M., Xiong, Z., & Wu, J. G. (2025) · IEEE International Conference on Teaching, Assessment, and Learning for Engineering · doi:10.1109/tale66047.2025.11346596 · Cited by 1 · see citing works
Tu, Y.-F., Guo, X.-G., & Liu, A.-R. (2026) · Journal of Computers in Education · doi:10.1007/s40692-025-00382-x · Cited by 1 · see citing works
Uzun, A., SEVİM, O., & Sevim, S. A. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2625390 · Cited by 3 · see citing works
Madsen, D. Ø., & Silva, E. S. (2026) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2026.103267 · Cited by 2 · see citing works
Al-khresheh, M. H., Orak, S. D., Elyas, T., & Aboras, A. A. (2026) · Journal of Intelligence · doi:10.3390/jintelligence14070139 · Cited by 1 · see citing works
Using Chatbots for Feedback Exchanges in Educational Settings
Schluer, J. (2024) · transcript Verlag eBooks · doi:10.1515/9783839475713-016 · Cited by 1 · see citing works
Kılınç, S. (2025) · Future education and learning spaces · doi:10.1007/978-981-96-9251-4_2 · Cited by 2 · see citing works
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Alnaeem, L. A. (2025) · Theory and Practice in Language Studies · doi:10.17507/tpls.1505.08 · Cited by 1 · see citing works
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Hidayat-ur-Rehman, I. (2025) · International Conference on Computing and Information Technology (ICCIT) · doi:10.1109/iccit63348.2025.10989377
Gunawardana, H. M. R. S. S. (2025) · Springer eBooks · doi:10.1007/978-981-96-6001-8_7
Kopuz, E., & Kartal, G. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3587488
When Chatgpt Meets Deepseek!Preprint
Li, Z., Mu, S., Mannion, P., & Long, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5388472
Huang, W., & Chen, Y. (2025) · International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT) · doi:10.1109/icicnct66124.2025.11232937
Metacognition in language teaching
Teng, M. F. (2025)
Kong, B., & Maruthai, E. (2026) · BMC Psychology · doi:10.1186/s40359-026-04330-x
Song, J., Cho, A., Lee, S., Choe, K., & Seo, J. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791657
Adlakha, V., Arledge, M., McCay, P., Reeves, K., Babatunde, F., & Ewell, S. N. (2026) · Journal of Microbiology and Biology Education · doi:10.1128/jmbe.00338-25
Kang, N. (2026) · The Korean Association of General Education · doi:10.46392/kjge.2026.20.2.151
The Transformation of English Language Teacher Identity in the Age of GenAI
KURTOĞLU, U., & Kök, M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-7325-6.ch009
Ao, Y., & Liu, M. (2026) · International Journal of Applied Linguistics · doi:10.1111/ijal.70243
Xuan, T. T. T., Salminen, J. O., Tillotson, J. S., Akhtar, W., Bui, T. V., Aldous, K. K., Medina, J., Jung, S., & Jansen, B. J. (2026) · Journal of Educational Technology Systems · doi:10.1177/00472395261467419
The Use of ChatGPT Chatbot in Enhancing Writing Skills of ESL Students
Yaprak, Z. (2026) · Journal of Language Research · doi:10.51726/jlr.1879060
Exploring Metacognition in Math with Generative AI: A Pilot Study of the MAI-C in Higher Education
Ciasullo, A., Miranda, A., Saliceto, L., Taibi, D., Casalino, G., & Barpi, F. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-31853-4_20
Chen, P., Lee, H., Huang, Y., & Wu, T. (2026) · Journal of Educational Computing Research · doi:10.1177/07356331261486324
From prompts to pedagogy: Mapping prompt engineering in English language education
Derinalp, P. (2026) · Journal of Educational Technology and Online Learning · doi:10.31681/jetol.1985220
Yi, H., Chen, Q., & Wang, Z. (2026) · Journal of Intelligence · doi:10.3390/jintelligence14100236
Shang, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1974520 · Cited by 1 · see citing works
The cognitive-affective impact of generative AI on EFL/ESL learning: A meta-analysis
Hsu, L., & Wang, Y.-C. (2026) · Language learning & technology · doi:10.64152/10125/73714
Christopoulos, A., Mystakidis, S., Perikos, I., Bourazeri, A., Michael, A., & Laakso, M. (2026) · Applied Cognitive Psychology · doi:10.1002/acp.70298
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- Authors
- Abdelhalim, S. M.
- Affiliations
- Imam Mohammad ibn Saud Islamic University (SA)
- Corresponding author
- Abdelhalim, Safaa M.
- ORCID
- Abdelhalim, Safaa M.
- Venue
- Journal of Computer Assisted Learning
- Publisher
- Wiley
- Published
- 2024-02
- Volume
- 40
- Issue
- 3
- Pages
- 1261-1275
- ISSN
- 0266-4909 (ISSN-L)
- 1365-2729
- OpenAlex
- W4391481596
- Semantic Scholar
- a15c3997145136673eba4ac6446c320603853343
- Cited by
- 69
- References
- 46
- Citations by year
- 2026: 26 · 2025: 38 · 2024: 5
- FWCI
- 25.94
- Type
- journal article
- Language
- en
- Update notices
- correction (2024-07-11)
- Open access
- closed
- Locations
- Journal of Computer Assisted Learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Keywords
- ChatGPT, research skills, EFL learners, metacognitive awareness, student perceptions, AI-assisted research, prompt formulation, self-regulation, trust in AI, undergraduate students
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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