ENHANCING ACADEMIC WRITING COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TOOLS

Authors

  • Madraximova Muxlisa Shokir qizi Urganch State Pedagogical Institute Department of Foreign Philology, Trainee-teacher

Keywords:

artificial intelligence, academic writing, English language teaching, pre-service teachers, AI tools, writing competence, digital pedagogy

Abstract

The rapid advancement of artificial intelligence (AI) technologies has significantly transformed modern educational practices, particularly in language learning and writing instruction. This article explores the role of AI-powered tools in enhancing academic writing competence among pre-service English language teachers. Academic writing requires not only linguistic accuracy but also critical thinking, coherence, organization, and academic integrity. AI tools such as ChatGPT, Grammarly, QuillBot, and automated feedback systems provide learners with opportunities to improve writing quality through instant feedback, language support, and personalized learning experiences. The study discusses the pedagogical advantages of integrating AI into academic writing instruction, including increased learner autonomy, motivation, and writing fluency. Furthermore, the article examines challenges related to overreliance on AI, ethical concerns, and academic honesty. The findings suggest that AI technologies can serve as effective supplementary tools for developing academic writing competence when implemented responsibly within pedagogical frameworks. The paper concludes that AI-assisted writing instruction has strong potential to modernize English language teacher education and prepare future educators for digitally enhanced learning environments.

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References

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Published

2026-05-19

How to Cite

Madraximova Muxlisa Shokir qizi. (2026). ENHANCING ACADEMIC WRITING COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TOOLS. Journal of Applied Science and Social Science, 16(5), 728–734. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4417

Issue

Vol. 16 No. 5 (2026): Journal of Applied Science and Social Science

Section

Articles

License

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