The AI Mirror: A Qualitative Study of Student Autonomy and Dependence in ESL Writing
DOI:
https://doi.org/10.54855/ijte.26641Keywords:
Artificial Intelligence (AI), Academic Writing, Learner Autonomy, second language acquisitionAbstract
This article explores the role of Artificial Intelligence (AI) in English as a Second Language (ESL) writing, examining whether it fosters autonomy or promotes dependency. Utilizing a qualitative methodology, semi-structured interviews were conducted following a timed writing task with 40 intermediate-level ESL students across three higher education institutions in Oman. Thematic analysis reveals that AI's impact on student autonomy is highly contingent upon its pedagogical application. When utilized strategically for brainstorming and personalized feedback, AI acts as a scaffolding tool that fosters self-directed learning. Conversely, when students rely on AI to generate complete texts or passively correct errors, they experience cognitive offloading, leading to decreased independence. The study emphasizes the need for educators to cultivate digital literacy, promoting an approach that empowers students to use AI as an intellectual partner rather than a cognitive replacement.
References
Al-Raimi, M., Mudhsh, B. A., Al-Yafaei, Y., & Al-Maashani, S. (2024). Utilizing artificial intelligence tools for improving writing skills: Exploring Omani EFL learners’ perspectives. Forum for Linguistic Studies, 6(2), 1177. https://doi.org/10.59400/fls.v6i2.1177
Andina, D. M., Cahyono, B. Y., & Widiati, U. (2020). How English Foreign Language Students’ Autonomy and Digital Competence Relate to Their Writing Achievement. Tadris: Jurnal Keguruan dan Ilmu Tarbiyah, 5(1), 77-86. https://doi.org/10.24042/tadris.v5i1.5760
Ariel, L., & Hayak, M. (2025). The Paradox of AI in ESL Instruction: Between Innovation and Oppression. Educational Theory, 75(4), 646-660. https://doi.org/10.1111/edth.70034
Aziz, I. N., Setyosari, P., Widiati, U., & Ulfa, S. (2024). Metacognitive Strategies to Improve Critical Thinking and Learner Autonomy in Writing Argumentative Texts in Islamic Boarding Schools. Al-Hayat: Journal of Islamic Education, 8(2), 788-803.
Borges, L. (2022). A complex dynamic model of autonomy development. Studies in Self- Access Learning Journal, 13(2), 200–223. https://doi.org/10.37237/130203
Boubker, O. (2024). From chatting to self-educating: Can AI tools boost student learning outcomes? Expert Systems with Applications, 238, 121820. https://doi.org/10.1016/j.eswa.2023.121820
Budianto, L., & Mason, A. R. (2022). Autonomous learning features: A case study in an Indonesian ESP classroom. Journal of English Educators Society, 7(1), 1-9. https://doi.org/10.21070/jees.v7i1.1213
Cao, D. T. P., & Pho, P. D. (2024). Fostering Learner Autonomy in Vietnamese Higher Education: What Factors to Be Considered? Okara: Jurnal Bahasa dan Sastra, 18(2), 184-202. https://doi.org/10.19105/ojbs.v18i2.15563
Chen, L.-M., & Liu, C. (2025). Critical learner autonomy in the digital language learning context. TESOL Journal, 16(1). https://doi.org/10.1002/tesj.906
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20, 22. https://doi.org/10.1186/s41239-023-00392-8
Cumming, A. (2001). Learning to Write in a Second Language: Two decades of Research. International Journal of English Studies, 1(2), 1-23. https://revistas.um.es/ijes/article/view/48331
Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology / Psychologie canadienne, 49(3), 182–185. https://psycnet.apa.org/doi/10.1037/a0012801
Dhanapal, C., Asharudeen, N., & Alfarouque, S. Y. (2024). Impact of Artificial Intelligence Versus Traditional Instruction for Language Learning: A Survey. World Journal of English Language, 14(2), 182-193. https://doi.org/10.5430/wjel.v14n2p182
Duhaylungsod, A. V., & Chavez, J. V. (2023). ChatGPT and other AI Users: Innovative and Creative Utilitarian Value and Mindset Shift. Journal of Namibian Studies, 33, 4367–4378.
Ersoy, E., & Çetin, D. (2023). Investigation of the Relationship Between the Writing Autonomy and Writing Skill of Students Learning Turkish as a Foreign Language. Shanlax International Journal of Education,, 11(1), 114–131. https://doi.org/10.34293/education.v11iS1-July.6117
Gkintoni, E., Antonopoulou, H., Sortwell, A., & Halkiopoulos, C. (2025). Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy. Brain Sciences, 15, 203. https://doi.org/10.3390/brainsci15020203
Graham, S., MacArthur, C. A., Hebert, M. A., & Hebert, M. (Eds.). (2018). Best Practices in Writing Instruction. Guilford Publications.
Grassini, S. (2023). Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings. Education Sciences, 13, 692. https:// doi.org/10.3390/educsci13070692
Gultom, U. A., Purbani, W., & Triastuti, A. (2022). The Relationship between Learner Autonomy and Students’ Writing Skills. Journal of Hunan University (Natural Scienc）, 49(10), 1-7. https://doi.org/10.55463/issn.1674-2974.49.10.1
Harmer, J. (2004). How to Teach Writing. Longman.
Indurkhya, N., & Damerau, F. J. (Eds.). (2010). Handbook of Natural Language Processing. CRC Press.
Jiang, D., & Kalyuga, S. (2022). Learning English as a Foreign Language Writing Skills in Collaborative Settings: A Cognitive Load Perspective. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.932291
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15, 12451. https://doi.org/10.3390/ su151612451
Kaufer, D., & Ishizaki, S. (2025). Future of Writing & Writing Instruction In the Disciplines and Professions [White Paper]. Carnegie Mellon University. https://www.cmu.edu/dietrich/english/research-and-publications/future_of_writing_kaufer_and_ishizaki_v6.0.pdf
Kim, Y., Lee, M., Kim, D., & Lee, S.-J. (2023). Towards Explainable AI Writing Assistants for Non-native English Speakers. arXiv preprint arXiv:2304.02625.
Kurniati, E. Y., & Fithriani, R. (2022). Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class. JELTL (Journal of English Language Teaching and Linguistics), 7(3). https://dx.doi.org/10.21462/jeltl.v7i3.852
Nguyen, A. T., Nguyen, H. T., Nguyen, H. M., Pham, T. T., Le, T. T., Phuong, H. Y., & Huynh, T. A. T. (2022). Empowering Vietnamese EFL Learners at Tertiary Level: Investigating Factors Shaping Learner Autonomy in English Language Acquisition. Vision: Journal for Language and Foreign Language Learning, 11(2), 125-138. http://dx.doi.org/10.21580/vjv12i116406
Lee, H.-P., Drosos, I., Sarkar, A., Rintel, S., Wilson, N., Tankelevitch, L., & Banks, R. (2025). The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers. CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (. https://doi.org/10.1145/3706598.3713778
Lin, B. (2025). The influence of the usage intensity of generative AI tools by college students on their autonomous learning ability. SHS Web of Conferences, 222, 01003. https://doi.org/10.1051/shsconf/202522201003
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage Publications, Inc.
Little, D. (2022). Language learner autonomy: Rethinking language teaching. Language Teaching, 55(1), 64–73. https://doi.org/10.1017/S0261444820000488
Marzuki, M., Widiati, U., Rusdin, D., Wiwin, D., & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 2236469. https://doi.org/10.1080/2331186X.2023.2236469
Naseer, F., & Khawaja, S. (2025). Mitigating Conceptual Learning Gaps in Mixed-Ability Classrooms: A Learning Analytics-Based Evaluation of AI-Driven Adaptive Feedback for Struggling Learners. Applied Sciences, 15, 4473. https://doi.org/10.3390/app15084473
Nazir, T., & Yılmaz, Z. E. (2025). The AI Learning Paradox: Balancing Educational Benefits and Digital Dependence. International Journal of Field Education, 11(3), 100-119. https://izlik.org/JA95HX56KC
Negi, J. s., & Laudari, S. (2022). Challenges of Developing Learner Autonomy of English as a Foreign Language (EFL) Learners in Underprivileged Areas. International Journal of Research in English Education, 7(2), 65-80. http://dx.doi.org/10.52547/ijree.7.2.65
Nguyen, T. T. H. (2023). EFL Teachers’ Perspectives toward the Use of ChatGPT in Writing Classes: A Case Study at Van Lang University. International Journal of Language Instruction, 2(3). https://doi.org/10.54855/ijli.23231
Pham, N. T. B., & Tran, T. M. (2025). Students’ Perceptions of AI Language Models as Virtual Assistants in Learning Writing- A Case Study at a Tertiary Institution. International Journal of TESOL & Education, 5(2), 87-115. https://doi.org/10.54855/ijte.25525
Pham, V. P. H., & Renandya, W. A. (2026). Navigating the AI Turn: Framework for Responsible AI Integration in Language Education. International Journal of TESOL & Education, 6(2), 70-85. https://doi.org/10.54855/ijte.26626
Pillai, A. S., & Tedesco, R. (Eds.). (2023). Machine Learning and Deep Learning in Natural Language Processing. CRC Press.
Quinde, G. A. L., Muñoz, M. Y. T., Suárez, J. M. R., Villarreal, R. E. P., Vélez, W. A. Z., & Del Pezo Laínez, A. A. (2024). Perception of university students on the use of artificial intelligence (AI) tools for the development of autonomous learning. RGSA – Revista de Gestão Social e Ambiental, 18(2), 1-20.
Ruegg, R. (2023). Learner autonomy and writing. In H. Mohebbi & Y. Wang (Eds.), Insights Into Teaching and Learning Writing (pp. 101-113). Castledown Publishers. https://doi.org/10.29140/9781914291159-8
Sommers, N. (1980). Revision Strategies of Student Writers and Experienced Adult Writers. College Composition and Communication, 31(4), 378-388. https://doi.org/10.2307/356588
Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14, 1260843. https://doi.org/10.3389/fpsyg.2023.1260843
Szlachta, B., Polok, K., & Bieńkowska, I. (2023). The Importance of Feedback in Improving Students’ Writing Skills with the Assistance of New Technologies. Multidisciplinary Journal of School Education, 12(1), 357-386. https://doi.org/10.35765/mjse.2023.1223.16
Tsai, Y. C. (2025). Enhancing efl learner autonomy through flipped instruction: effects on psychological, technical, social, and critical-political dimensions. TEFLIN Journal, 36(1), 153–171.
Vanderberg, R., & Swanson, H. L. (2007). Which components of working memory are important in the writing process? Reading and Writing, 20, 721–752. https://doi.org/10.1007/s11145-006-9046-6
Vetter, M. A., Lucia, B., Jiang, J., & Othman, M. (2024). Towards a framework for local interrogation of AI ethics: A case study on text generators, academic integrity, and composing with ChatGPT. Computers and Composition, 71, 102831. https://doi.org/10.1016/j.compcom.2024.102831
Wang, C. (2024). Exploring Students’ Generative AI Assisted Writing Processes: Perceptions and Experiences from Native and Nonnative English Speakers. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-024-09744-3
Wu, D., Zhang, S., Ma, Z., Yue, X.-G., & Dong, R. K. (2024). Unlocking Potential: Key Factors Shaping Undergraduate Self-Directed Learning in AI-Enhanced Educational Environments. Systems, 12, 332. https://doi.org/10.3390/systems12090332
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(28). https://doi.org/10.1186/s40561-024-00316-7
Zhang, L., & Xu, J. (2025). The paradox of self-efficacy and technological dependence: Unraveling generative AI's impact on university students' task completion. The Internet and Higher Education, 65, 100978. https://doi.org/10.1016/j.iheduc.2024.100978
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