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The Role of AI-Assisted Learning in Academic Writing: A Mixed-Methods Study on Chinese as a Second Language Students

Authors :
Chen Chen
Yang (Frank) Gong
Source :
Education Sciences, Vol 15, Iss 2, p 141 (2025)
Publication Year :
2025
Publisher :
MDPI AG, 2025.

Abstract

This mixed-methods study examines the role of artificial intelligence (AI)-assisted learning in academic writing for Chinese as a Second Language (CSL) students in a Chinese university context. Fifty international CSL students were randomly assigned to experimental—AI-assisted learning using ChatGPT—and control—traditional learning—groups. Writing samples from the participants were evaluated using established scoring rubrics for Chinese academic writing. Based on pre- and post-test quantitative data and supplementary qualitative interviews with six participants from the experimental group, this study reveals that AI-assisted learning can enhance student outcome by supporting knowledge acquisition, helping to create a supportive learning environment, and increasing student motivation. However, this study also highlights concerns regarding over-reliance on AI, particularly in relation to ethical concerns, technical and networking issues, and the unreliability of AI-generated content. These findings contribute to a nuanced understanding of the impact of AI on CSL learners’ academic writing performance. Finally, we also discuss practical implications for educational stakeholders regarding the integration of AI into language education.

Details

Language :
English
ISSN :
22277102
Volume :
15
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Education Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.0ecd63df0de24b658bee570199808da3
Document Type :
article
Full Text :
https://doi.org/10.3390/educsci15020141