Integrating AI-Based Tools to Support Students’ Argumentative Writing Development
DOI:
https://doi.org/10.55506/icdess.v3i1.154Keywords:
AI Tools, Argumentative Writing, EFL University Students, Writing Development, DigitalAbstract
This study explores the integration of Artificial Intelligence (AI)-based tools in supporting university students’ development of argumentative writing skills in an English as a Foreign Language (EFL) context. Writing an argumentative text requires students to construct clear thesis statements, justify arguments with credible evidence, and ensure logical coherence throughout the text. A qualitative descriptive design was employed involving undergraduate EFL students who utilized AI-supported applications, such as AI writing assistants and automated feedback tools, during a series of writing activities. Data were gathered through students’ written products, classroom observations, and semi-structured interviews. The results show that the use of AI-based tools enhances students’ accuracy, idea organization, and lexical choices, particularly in improving their argument clarity and cohesion. However, the findings also reveal students’ dependency on AI suggestions, indicating the need for critical awareness in using AI responsibly. The study concludes that AI-based tools can serve as effective learning support when used under guided instruction, promoting students’ argumentative writing competence and autonomy.
Downloads
References
Amirjalili, F., Neysani, M., & Nikbakht, A. (2024). Exploring the boundaries of authorship : a comparative analysis of AI-generated text and human academic writing in English literature. March, 1–11. https://doi.org/10.3389/feduc.2024.1347421 DOI: https://doi.org/10.3389/feduc.2024.1347421
Arochman, T., Margana, M., Ashadi, A., Achmad, S., & Nugrahaeni, D. A. (2024). The effect of project-based learning on English writing skill for EFL learners. 8(2), 310–324. DOI: https://doi.org/10.33902/JPR.202423961
Barasa, D. (2024). Demystifying the Discourse : Techniques to Effective Academic Writing. 1(1), 13–21. DOI: https://doi.org/10.58721/jraw.v1i1.571
Höft, L., Bahr, L., Fleckenstein, J., Möller, J., Köller, O., & Meyer, J. (2024). n Empirische Arbeit Comparing Generative AI and Expert Feedback to Students ’ Writing : Insights from Student Teachers. 80–92. https://doi.org/10.2378/peu2024.art08d DOI: https://doi.org/10.2378/peu2024.art08d
Huynh, H., Nguyen, B., Huynh, H., Ngoc, B., & Dan, T. C. (2024). European Journal of Alternative Education Studies EFL STUDENTS ’ PERCEPTIONS AND PRACTICES OF USING CHATGPT FOR DEVELOPING ENGLISH. 168–216. https://doi.org/10.46827/ejae.v9i1.5341 DOI: https://doi.org/10.46827/ejae.v9i1.5341
Lee, S. (2025). Generative AI and English language teaching : A global Englishes perspective. 85–108. https://doi.org/10.1017/S0267190525100184 DOI: https://doi.org/10.1017/S0267190525100184
Seyoum, W. M., Yigzaw, A., & Bewuketu, H. K. (2022). STUDENTS ’ ATTITUDES AND P ROBLEMS ON Q UESTION-BASED. 3(2), 58–63. DOI: https://doi.org/10.33365/jeltl.v3i2.2106
Shafamarwa, S., Thahir, A., Puspita, A., Pirka, F. I., & Wiliyanti, V. (2024). The Implementation of Problem-Based Learning to Improve Students ’ Writing Achievement in Argumentative Essay : Global Warming. 04023. DOI: https://doi.org/10.1051/e3sconf/202448204023
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Siti Maria Ulfa, Tera Athena, Mariyatul Kiptiyah, Iin Rachmawati, Maulana Yusuf Aditya

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

