Role of generative AI literary assistants in enhancing ninth-grade students’ writing motivation, flow and achievement

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Authors: S Wang, Sandy I-Ching Wang, Eric Hsien Lung Liu
Cited by: 2
References: 12

Abstract

This study examines the multifaceted effects of integrating generative artificial intelligence (GAI) literary assistants into ninth-grade writing instruction, with a focus on students’ writing motivation, flow experiences and overall writing performance. Employing a mixed-methods approach, this research analyses how GAI serves as a dynamic auxiliary tool, not only fostering enhanced writing skills but also profoundly influencing learning motivation and engagement. Our findings illuminate a landscape: while quantitative measures of general writing motivation showed no statistically significant increase, qualitative data revealed a marked surge in task-specific engagement and situational motivation, particularly during the revision phase, and demonstrably improves writing quality. However, we also critically examine the potential risks of over-reliance on AI, which could diminish student engagement, particularly in areas requiring creative expression and critical thinking. This study concludes by discussing the nuanced challenges and offering pedagogical recommendations for future instructional practices.

Fields of Study & Subjects

Writing and Handwriting Education Flow Experience in Various Fields Educational Games and Gamification

Publication details

Journal / source
Computers and Education Open
Publisher
Elsevier BV
Volume
10
Pages
100339–100339
Publication date
14 February 2026
Language
EN