Exploring the Influence of Microsoft Copilot on the Writing Proficiency of ESL Learners in Academic Writing

Authors

Muhamad Firdhaus Shahrom

Faculty of Education and Humanities, UNITAR International University, Malaysia (Malaysia)

Helme Heli

Faculty of Education and Humanities, UNITAR International University, Malaysia (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.102400015

Subject Category: Education

Volume/Issue: 10/24 | Page No: 218-229

Publication Timeline

Submitted: 2026-08-19

Accepted: 2026-08-24

Published: 2026-09-25

Abstract

The increasing use of Generative AI in education has transformed academic writing support for ESL learners. This study examines the impact of Microsoft Copilot, an Artificial Intelligence-powered writing assistant, on the academic writing performance of pre-university students preparing for MUET. Using a quasi-experimental mixed-methods approach, the study compares learners who used Microsoft Copilot with those who followed conventional writing practices. Findings indicate that Copilot enhanced learners' academic writing by improving grammar, vocabulary, idea development, and text organization. Participants also reported greater confidence and motivation due to the tool's instant feedback and writing assistance. However, concerns regarding overreliance on AI-generated content and academic integrity were identified. The study highlights the potential of Microsoft Copilot as a supplementary tool for improving ESL academic writing while emphasizing the importance of ethical AI use and responsible pedagogical integration.

Keywords

Microsoft Copilot, Artificial Intelligence, ESL Learners, Academic Writing, Generative AI, Academic Integrity, MUET.

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References

1. Abdul Rahim, F., Hood, P. & Coyle, D. (2009). 'Becoming experts': learning through mediation. Malaysian Journal of Learning & Instruction, 6(1), 1-21. [Google Scholar] [Crossref]

2. Abdul Rahman, N. A., Zulkornain, L. H., Che Mat, A., & Kustati, M. (2023). Assessing writing abilities using AI-powered writing evaluations. Journal of ASIAN Behavioural Studies (jABs), 8(24), 1–17. https://doi.org/10.21834/jabs.v8i24.420 [Google Scholar] [Crossref]

3. Aljuaid, M. (2024). AI in academic writing instruction in higher education: A review of ChatGPT's pedagogical potential. Arab World English Journal, Special Issue on ChatGPT, 15(1), 45-62. [Google Scholar] [Crossref]

4. https://doi.org/10.24093/awej/chatgpt1.4 [Google Scholar] [Crossref]

5. Alm, A. (2024). Exploring autonomy in the AI wilderness: Learner choices and challenges in AI-supported writing. Education Sciences, 14(2), 155. https://doi.org/10.3390/educsci14020155 [Google Scholar] [Crossref]

6. Choi, Jonathan, Kristin Hickman, Amy Monahan and Daniel Schwarcz, 2023: “ChatGPT Goes to Law School”, Journal of Legal Education, 387-400. [Google Scholar] [Crossref]

7. EduAdvisor. (2023). The complete guide to studying MUET in Malaysia. [Google Scholar] [Crossref]

8. https://eduadvisor.my/courseguide/muet#:~:text=Depending%20on%20which%20cou rse%20you,and%20above% 20for%20Medicine%20courses [Google Scholar] [Crossref]

9. Hsu, Y. C., & Ching, Y. H. (2023). Generative artificial intelligence in education, part one: The dynamic frontier. TechTrends, 67(4), 603-607. [Google Scholar] [Crossref]

10. Jaramillo, J., Chiappe, A., & Sáez Delgado, F. (2025). AI-powered writing skills in ESL education: Integrating Grammarly and ChatGPT into the Writing Workshop Model. Applied Sciences, 15(14), Article 8079. https://doi.org/10.3390/app15148079 [Google Scholar] [Crossref]

11. Junaidi, J., Chih, W., & Ortiz, J. (2020). Antecedents of information seeking and sharing on social networking sites: An empirical study of Facebook users. International Journal of Communication, 14, 24-24. [Google Scholar] [Crossref]

12. Kasneci, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Computers & Education, 187, 104580. [Google Scholar] [Crossref]

13. https://doi.org/10.1016/j.compedu.2023.104580 [Google Scholar] [Crossref]

14. Krashen, S. (1992). The input hypothesis: An update. Linguistics and language pedagogy: The state of the art, 12(3), 409-431. [Google Scholar] [Crossref]

15. Lim, C. T., Bong, C. H., Wong, W. S., & Lee, N. K. (2021). A comprehensive review of automated essay scoring (AES) research and development. Pertanika Journal of Science & Technology, 29(3), 1875-1899. [Google Scholar] [Crossref]

16. Lin, H. F., & Morrison, B. J. (2021). Challenges in academic writing: Perspectives of Engineering faculty and L2 postgraduate research students. English for Specific Purposes, 63, 59-70. [Google Scholar] [Crossref]

17. https://doi.org/10.1016/j.esp.2021.03.004 [Google Scholar] [Crossref]

18. Long, M. H. (1996). The role of the linguistic environment in second language acquisition. In W. C. Ritchie & T. K. Bhatia (Eds.), Handbook of second language acquisition (pp. 413–468). New York: Academic Press. [Google Scholar] [Crossref]

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

20. Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586 [Google Scholar] [Crossref]

21. Ozfidan, B., El-Dakhs, D. a. S., & Alsalim, L. A. (2024). The use of AI tools in English academic writing by Saudi undergraduates. Contemporary Educational Technology, 16(4), ep527. [Google Scholar] [Crossref]

22. https://doi.org/10.30935/cedtech/15013 [Google Scholar] [Crossref]

23. Ponnudurai, P., & De Rycker, A. (2012). Malaysian gen Y’s usage of vocabulary in academic essay-writing: A comparison of the effectiveness of online versus print reading-to-write tasks. The Journal of the South East Asia Research Centre for Communication and Humanities, 4(1), 63-76. [Google Scholar] [Crossref]

24. Seo, J. Y. (2024). Exploring the educational potential of ChatGPT: AI-assisted narrative writing for EFL college students. Language Teaching Research Quarterly, 43, 1-21. [Google Scholar] [Crossref]

25. https://doi.org/10.32038/ltrq.2024.43.0 [Google Scholar] [Crossref]

26. Solanki, S. R. & Khublani, D. K. 2024. Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI. 1st ed. Berkeley, CA: Apress. [Google Scholar] [Crossref]

27. Terblanche, N., Molyn, J., De Haan, E. & Nilsson, V. O. 2022. Coaching at Scale: Investigating the Efficacy of Artificial Intelligence Coaching. International Journal of Evidence-Based Coaching and Mentoring. 20(2), pp. 20–36. [Google Scholar] [Crossref]

28. Usdan, J., Connell Pensky, A., & Chang, H. (2024). Generative AI's Impact on Graduate Student Writing Productivity and Quality. Available at SSRN 4941022. [Google Scholar] [Crossref]

29. Wong, W. S., & Bong, C. H. (2021). Assessing Malaysian University English Test (MUET) Essay on Language and Semantic Features Using Intelligent Essay Grader (IEG). Pertanika Journal of Science & Technology, 29(2), 919. [Google Scholar] [Crossref]

30. Xing, C., & Saeed, M. A. (2025). A systematic review on artificial intelligence (AI) technologies in ESL/EFL speaking skills. International Journal of TESOL Studies, 8(2), 240-270. [Google Scholar] [Crossref]

31. Xu, J., Li, Y., Shadiev, R., & Li, C. (2025). College students’ behavior of generative AI and its influencing factors under the unified theory of acceptance and use of technology model. Education and Information Technologies, 30(14), 19961-19984. [Google Scholar] [Crossref]

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