THE IMPACT OF AI-BASED FEEDBACK ON EFL STUDENTS’ WRITING SKILLS

Authors

  • Khomidova Gulnozakhon Qurbonali kizi Institute of Social and Political Sciences Department of Uzbek and Foreign Languages English Language Teacher Tashkent, Uzbekistan

Keywords:

artificial intelligence, automated writing evaluation, EFL writing, feedback strategies, educational technology, learner autonomy.

Abstract

This study investigates the impact of artificial intelligence (AI)-based feedback on the writing skills of English as a Foreign Language (EFL) students within higher education contexts. As AI tools become increasingly prevalent in language classrooms, educational practitioners are exploring how automated feedback systems affect learners’ linguistic accuracy, writing coherence, revision behaviors, motivation, and autonomous learning. Drawing on recent empirical research and theoretical insights, this article examines both the benefits and limitations of AI-driven feedback, highlighting its complementary role alongside teacher feedback. Evidence suggests that while AI-based systems improve certain aspects of writing proficiency—particularly grammar and mechanics—effective pedagogical integration and instructor mediation are essential to maximize their educational value. The paper concludes with recommendations for language educators and future research directions.

References

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Published

2026-01-07

How to Cite

Khomidova Gulnozakhon Qurbonali kizi. (2026). THE IMPACT OF AI-BASED FEEDBACK ON EFL STUDENTS’ WRITING SKILLS. Ethiopian International Journal of Multidisciplinary Research, 13(1), 101–104. Retrieved from https://eijmr.org/index.php/eijmr/article/view/4551