ChatGPT in AI-Assisted Learning: Enhancing Academic Writing and Autonomy for Thai EFL Learners
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This study investigates the efficacy of ChatGPT as an English as a Foreign Language (EFL) writing aid among Thai students by probing factors of use, learner attitudes, and teachers' recommendations. Over 15 weeks of the 2024 second semester, it was conducted among 43 third-year undergraduate students and 10 instructors at three Thai universities, who were selected via purposive sampling. It employed a mixed-methods approach that utilized IELTS-based pre- and post-tests, surveys, focus groups, interviews, and observations. Outcomes showed significant improvement in writing, with mean IELTS scores rising from 10.86 (Fair) to 16.86 (Excellent) in task achievement, coherence, lexical resource, and grammar. The most compelling adoption drivers were motivation, technological accessibility, teacher support, and task variety. Students rated ChatGPT highly on usefulness (M=4.45), learning support (M=4.44), impact (M=4.46), and autonomy (M=4.55), but reported limitations like AI errors and potential over-reliance. Teachers recommended ethical deployment through the ADDIE model, emphasizing training and pedagogical fit. The findings highlight ChatGPT's potential to enhance writing ability and learner autonomy in Thai EFL contexts. Nevertheless, technological infrastructure, cultural differences, and AI constraint obstacles must be mitigated through greater access, teacher training, and multiple task development. The current study highlights the need for strategic integration to maximize the benefits of ChatGPT while mitigating its limitations in EFL instructional academic writing.
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References
Aldoobie, N. (2015). ADDIE model. American International Journal of Contemporary Research, 5(6), 68–72.
Badger, R., & White, G. (2000). A process genre approach to teaching writing. ELT Journal, 54(2), 153–160. https://doi.org/10.1093/elt/54.2.153.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). Sage Publications.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
Fitria, T. N. (2021). The role of technology in enhancing English writing skills: A review. International Journal of Emerging Technologies in Learning, 16(12), 45–59. https://doi.org/10.3991/ijet.v16i12.22345.
Geher, G. (2023, March). AI in education: Opportunities and challenges for personalized learning. Psychology Today. Retrieved August 19, 2025, from https://www.psychologytoday.com/us/blog/darwins-subterranean-world/202303/ai-in-education-opportunities-and-challenges.
Godwin-Jones, R. (2022). Emerging technologies: AI and language learning. Language Learning & Technology, 26(1), 1–15. https://doi.org/10.125/44675.
Huang, J., & Tan, M. (2023). The role of ChatGPT in enhancing EFL writing: Opportunities and challenges. Computer Assisted Language Learning, 36(4), 567–589. https://doi.org/10.1080/09588221.2022.2095432.
Hyland, K. (2007). Genre pedagogy: Language, literacy and L2 writing instruction. Journal of Second Language Writing, 16(3), 148–164. https://doi.org/10.1016/j.jslw.2007.07.005.
Karunakaran, T. (2023). Ethical considerations in AI-driven education: Balancing innovation and integrity. Educational Technology Research and Development, 71(5), 1897–1914. https://doi.org/10.1007/s11423-023-10245-6.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274.
Kazemian, B., Haw, S. C., & Wong, K. Y. (2021). Technology-enhanced language learning in Asian contexts: Challenges and opportunities. Asia Pacific Journal of Education, 41(3), 567–581. https://doi.org/10.1080/02188791.2020.1838888.
Lee, D. (2023). AI-assisted writing and learner autonomy: A new paradigm in EFL contexts. Journal of Educational Technology, 39(4), 321–339. https://doi.org/10.1177/00472395231156789.
Lee, D., Yeo, S., & Kim, J. (2022). Reducing writing anxiety through AI-supported feedback: Evidence from EFL learners. Journal of Computer Assisted Learning, 38(5), 1245–1258. https://doi.org/10.1111/jcal.12678.
Mathur, S., & Mahapatra, S. (2022). Digital tools in language learning: A practical guide for EFL instructors. Journal of Educational Technology Systems, 50(4), 456–470. https://doi.org/10.1177/00472395221098765.
Moses, R. N., & Mohamad, M. (2019). Challenges faced by EFL learners in academic writing: A Malaysian perspective. International Journal of Instruction, 12(4), 1145–1160. https://doi.org/10.29333/iji.2019.12473a.
Nath, S., Mondal, H., & Das, S. (2024). ChatGPT in education: Transforming learning through conversational AI. Educational Technology & Society, 27(1), 89–104. https://doi.org/10.30191/ETS.202401_27(1).0006.
Nguyen, T. (2023). Fostering autonomy through AI: The role of ChatGPT in EFL writing. TESOL Quarterly, 57(2), 345–367. https://doi.org/10.1002/tesq.3210.
Peungcharoenkun, T., & Waluyo, B. (2023). Implementing the ADDIE model in EFL writing instruction: A Thai perspective. Journal of Language Teaching and Research, 14(2), 321–335. https://doi.org/10.17507/jltr.1402.10.
Phuong, T. T. (2021). Motivation in EFL writing: Challenges and solutions in the Thai context. Asian EFL Journal, 28(3), 123–139.
Risang Baskara, F. X. (2023). Challenges and opportunities of AI in EFL education: A Thai perspective. Journal of Asia TEFL, 20(2), 234–250. https://doi.org/10.18823/asiatefl.2023.20.2.5.234.
Stacey, A. (2022, November 5). AI in language learning: Opportunities for personalization and feedback. Language Magazine. Retrieved August 19, 2025, from https://www.languagemagazine.com/2022/11/05/ai-in-language-learning-opportunities-for-personalization-and-feedback.
Storch, N. (2013). Collaborative writing in L2 classrooms. Multilingual Matters.
Suntara, W. (2021). Thai EFL learners’ challenges in academic writing: A case study. Journal of Language and Linguistic Studies, 17(3), 1245–1260. https://doi.org/10.17263/jlls.904073.
Taecharungroj, V. (2023). Integrating AI into EFL classrooms: A case study from Thailand. International Journal of Educational Technology in Higher Education, 20(1), 1–18. https://doi.org/10.1186/s41239-023-00378-2.
Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237–246. https://doi.org/10.1177/1098214005283748.
Truscott, J. (2021). The efficacy of written corrective feedback: A critique of a meta-analysis. System, 99, Article 102503. https://doi.org/10.1016/j.system.2021.102503.
Vygotsky, L. S. (1980). Mind in society: The development of higher psychological processes. Harvard University Press.
Wonglakorn, S., & Deerajviset, P. (2023). Technology-enhanced writing instruction: A Thai EFL perspective. Journal of Educational Technology, 39(3), 234–249. https://doi.org/10.1177/00472395231178901.
Xu, J., Fan, Y., & Xu, Y. (2023). AI-driven feedback in EFL writing: Opportunities and challenges. Journal of Second Language Writing, 60, Article 100978. https://doi.org/10.1016/j.jslw.2023.100978.