Effectiveness of ChatGPT Feedback on Low-Level English Students’ Writing Proficiency and Their Perceptions: An Experimental Study

Authors

DOI:

https://doi.org/10.54855/ijaile.26324

Keywords:

ChatGPT, Writing skills, Low-level students

Abstract

The purpose of this study is to explore the effectiveness of ChatGPT’s feedback on the writing of non-English major university students and their perceptions of this implementation. Participants in this study had a low level of English (A2). Researchers employed an experimental research design to achieve the research objectives. There were 42 students in total, including 21 students in the experimental group (EG) and 21 in the control group (CG). EG received ChatGPT feedback after writing draft 1, whereas CG received peer feedback and general instructions from teachers.  Data were collected through pre- and post-tests, and semi-structured interviews. Paired sample t-tests revealed a significant improvement in mean scores between pre-and post-tests of EG (p=.00<.05), in contrast to CG’s. While students complimented ChatGPT on its immediacy, dialogic, and personalized responses, the tool's prompting difficulties and blind acceptance were their major concerns. Findings suggest the need for clear AI literacy training for students and a ‘human-in-the-loop’ approach in which ChatGPT feedback incorporates teachers’ guidance.

Author Biographies

  • Vu Quynh Hoa, Faculty of Foreign Languages, Hanoi University of Science and Technology

    Ms. Vu Quynh Hoa has been working as the English lecturer of the Faculty of Foreign Languages, Hanoi University of Science and Technology (HUST) since 2019. She holds an MA in TESOL from the University of Languages and International Studies – Vietnam National University, Vietnam; an MA in Business Management in Norwich Business school – University of East Anglia, UK and a BA in English Teacher Education from the University of Languages and International Studies – Vietnam National University, Vietnam, all earned with distinction. She participated in the teaching procedure for the STEM-focused EnglishWorks program co-organized by Hanoi University of Science and Technology, U.S Embassy and SEAMEO RETRAC in 2024. Her research in ELT primarily focuses on enhancing students’ engagement and blended learning. Her studies have been published in nationally recognized journals, including the NUAE Journal of Art Education and the Journal of Education and Society.

  • Nguyen Kim Phuc, Faculty of Foreign Languages, Hanoi University of Science and Technology

    Ms. Nguyễn Kim Phúc has been working as the English lecturer of the Faculty of Foreign Languages, Hanoi University of Science and Technology (HUST) since 2019. She is a certified VSTEP Speaking and Writing Assessor, accredited by the University of Languages and International Studies.  She holds an MA in Applied Linguistics TESOL from the University of Queensland, Australia, and a BA in English (Honors Program) from Vietnam National University, both earned with distinction. Her research in ELT primarily focuses on enhancing students’ productive skills. Her studies have been published in nationally recognized journals, including the NUAE Journal of Art Education and the Journal of Education and Society. She also presented at the Conference on “Improving online teaching quality” of the Academy of Finance in 2022 and co-presented at VietTESOL International Convention 2024.

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Published

08/31/2026

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Research Articles

How to Cite

Vu, Q. H., & Nguyen, K. P. (2026). Effectiveness of ChatGPT Feedback on Low-Level English Students’ Writing Proficiency and Their Perceptions: An Experimental Study. International Journal of AI in Language Education, 3(2), 55-70. https://doi.org/10.54855/ijaile.26324

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