7 August 2026
HUFLIT University
Asia/Ho_Chi_Minh timezone

Better Writing or Less Thinking? AI Over-Reliance in EFL Writing Classrooms

Not scheduled
20m
Main Conferene Hall (HUFLIT University)

Main Conferene Hall

HUFLIT University

828 Sư Vạn Hạnh street, Hòa Hưng ward, Hồ Chí Minh city, Vietnam

Speaker

Thủy Nguyễn (Vietnam National University – Ho Chi Minh City, University of Technology)

Description

Abstract
The rapid adoption of artificial intelligence (AI) tools such as ChatGPT in English as a Foreign Language (EFL) writing classrooms has reshaped how students approach writing tasks, with increasing evidence that learners rely on AI for generating and refining written content. While such tools are widely believed to enhance writing quality, concerns have emerged regarding a potential gap between AI use and actual skill development. This study investigates the extent of AI over-reliance and its impact on students’ writing performance. Adopting a mixed-method design, the study combines survey data with comparative pre- and post-writing analysis. Students completed writing tasks before and after a period of AI-assisted practice, and their texts were evaluated using analytic criteria, including grammatical accuracy, lexical diversity, and idea originality. The participants were 100 non-English major students at Ho Chi Minh City University of Technology. Survey findings suggest that nearly four-fifths of participants relied on AI for idea generation, yet pre- and post-writing scores showed no statistically significant gains across all three criteria. These findings suggest that excessive dependence on AI may reduce cognitive engagement and limit the development of independent writing skills, highlighting the need for more structured integration of AI in writing instruction.
Keywords: ai over-reliance, efl writing, ai-assisted learning, learner autonomy, writing development

Author

Thủy Nguyễn (Vietnam National University – Ho Chi Minh City, University of Technology)

Presentation materials

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