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

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.

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Publication Details

Journal
Computers and Education Open
Published
2026-02-14
DOI
https://doi.org/10.1016/j.caeo.2026.100339
Primary Topic
Writing and Handwriting Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

S Wang, Eric Hsien Lung Liu, Sandy I-Ching Wang
Computers and Education Open
Writing and Handwriting Education
article

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

S Wang, Eric Hsien Lung Liu, Sandy I-Ching Wang
article en

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.

Computers and Education OpenVol. 10
National Central University (TW)
Quality Education
Openalex Percentile: Top 58%
Writing and Handwriting Education
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