Impact of ChatGPT on metacognition and motivation in EFL academic writing

Authors

DOI:

https://doi.org/10.65956/procia.2026.14

Keywords:

ChatGPT, EFL writing, metacognition, motivation

Abstract

Using a convergent mixed-methodology approach with a within-subject classroom design, the study examines the impact of ChatGPT on EFL learners’ metacognitive strategies and motivation in academic writing. Participants were 120 English junior majors (CEFR level B1/B2) who engaged in the survey, completing the “with vs. without” AI writing tasks. Pre- and post-task surveys and reflections measured changes in self-regulatory behaviours including planning, monitoring, revising, and affective factors such as self-efficacy, task value, and enjoyment. Findings reveal divergent outcomes. Specifically, ChatGPT significantly enhanced planning and revision strategies, especially among B2-level students obtaining large effect sizes (Cohen’s d ≈ 0.85–1.06). Nonetheless, there was a slight decline in monitoring among B1 students due to excessive cognitive reliance on AI. Higher-level students also gained motivational improvements with moderate-to-large effects for self-efficacy (d = 1.19), task value (d = 1.27), and enjoyment (d = 1.23). Plus, gains in self-efficacy were strongly correlated with motivation gains (r = .60–.67, p < .001). Overall, ChatGPT appears to function as a cognitive scaffold and an affective enhancer in EFL academic writing. The study proposes the S.M.A.R.T. AI framework to integrate AI critically and responsibly in writing instruction.

Author Biographies

  • Vo Thi Thanh Lan, Lac Hong University

    Ms. Vo Thi Thanh Lan holds a Master’s degree and has over 10 years of experience working at Lac Hong University in Dong Nai. She teaches both English major and non-English major students, with extensive experience in delivering English language courses across different proficiency levels. Her professional interests include English language teaching and the effective use of technology to enhance classroom instruction and student learning.

  • Hoang Vinh Loc, Lac Hong University

    Mr. Hoang Vinh Loc holds a Master’s degree and has been working at Lac Hong University in Dong Nai for over 14 years. He has extensive experience teaching English to undergraduate students in the Faculty of English Language. His research interests focus on the application of technology in English language teaching, particularly how technological tools can enhance teaching effectiveness and learning outcomes.

References

Amini, M., Lee, K. F., Yiqiu, W., & Ravindran, L. (2025). Proposing a framework for ethical use of AI in academic writing based on a conceptual review: Implications for quality education. Interactive Learning Environments, 1-25. https://doi.org/10.1080/10494820.2025.2523382

Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.

Bereiter, C., & Scardamalia, M. (Eds.) (1987). The psychology of written composition. Routledge.

Bruning, R., Dempsey, M., Kauffman, D. F., McKim, C., & Zumbrunn, S. (2013). Examining dimensions of self-efficacy for writing. Journal of Educational Psychology, 105(1), 25-38. https://doi.org/10.1037/a0029692

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.

Dang, T. T. (2025). AI tools for language learners: The promotion of learning independence or reliance. In Pham, V. P. H., Lian, A., Lian, A., White, J. (Eds.), Empowering educators: Integrating AI tools for personalized language instruction, (pp. 263-280). Springer Nature. https://doi.org/10.1007/978-3-032-01348-4_11

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268. https://doi.org/10.1207/S15327965PLI1104_01

Dörnyei, Z. (2009). The L2 motivational self system. In Z. Dörnyei & E. Ushioda (Eds.), Motivation, language identity and the L2 self (pp. 9-42). Multilingual Matters.

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911. https://doi.org/10.1037/0003-066X.34.10.906

Ho, N. B. and Dang, T. T. (2019). Impacts of online formative assessment on EFL students’ writing achievement. Journal of Science Ho Chi Minh City Open University, 9(1). 55-69. https://doi.org/10.46223/HCMCOUJS.soci.en.9.1.271.2019

Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning - Are they really useful? A systematic review of Chatbot‐supported language learning. Journal of Computer Assisted Learning, 38, 237-257. https://doi.org/10.1111/jcal.12610

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence, 5, 1-8. https://doi.org/10.1016/j.caeai.2023.100156

Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learning Environments, 11(9), 1-18. https://doi.org/10.1186/s40561-024-00295-9

Marzuki, W., Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 1-17. https://doi.org/10.1080/2331186X.2023.2236469

Meniado, J. C., Huyen, D. T. T., Panyadilokpong, N., & Lertkomolwit, P. (2024). Using ChatGPT for second language writing: Experiences and perceptions of EFL learners in Thailand and Vietnam. Computers and Education: Artificial Intelligence, 7, 1-9. https://doi.org/10.1016/j.caeai.2024.100313

Rahimi, A. R., Sheykhkholeslami, M., & Mahmoudi Pour, A. (2025). Uncovering personalized L2 motivation and self-regulation in ChatGPT-assisted language learning: A hybrid PLS-SEM-ANN approach. Computers in Human Behavior Reports, 17, 1-15. https://doi.org/10.1016/j.chbr.2024.100539

Teng, M. F. (2025). Metacognitive awareness and EFL learners’ perceptions and experiences in utilising ChatGPT for writing feedback. European Journal of Education, 60(1), e12811. https://doi.org/10.1111/ejed.12811

Teng, M. F., & Huang, J. Y. T. (2025). Incorporating ChatGPT for EFL writing and its effects on writing engagement. International Journal of Computer-Assisted Language Learning and Teaching, 15(1), 1-21. https://doi.org/10.4018/IJCALLT.367874

Tran, T. L. N., Le, V. T., & Nguyen, T. L. (2025). Teachers’ perspectives about the benefits, challenges, and strategies for using generative AI in English language teaching. The JALT CALL Journal, 21(3), 1-31. https://doi.org/10.29140/jaltcall.v21n3.102514

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Werdiningsih, I., Marzuki, & Rusdin, D. (2024). Balancing AI and authenticity: EFL students’ experiences with ChatGPT in academic writing. Cogent Arts & Humanities, 11(1), 1-15. https://doi.org/10.1080/23311983.2024.2392388

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How to Cite

Vo, L. T. T., & Hoang, L. V. (2026). Impact of ChatGPT on metacognition and motivation in EFL academic writing. Proceedings of International Academia, 1(1), 1-16. https://doi.org/10.65956/procia.2026.14
Received: 19-12-2025
Accepted: 01-01-2026
Published: 04-05-2026

Full-text Version

Published:

04-05-2026