The Motivational Impact of GenAI Tools in Language Learning: a Quasi‐Experiment Study.
Published In: International Journal of Applied Linguistics, 2025, v. 35, n. 3. P. 1338 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Renfeng, Jiang; Gang, Yang; Qi, Shen 3 of 3
Abstract
The evolution of generative artificial intelligence (GenAI) technologies may have markedly influenced language learning. Through offering personalised support, GenAI‐driven chatbots have potentially transformed how learners engage with and sustain their motivation in learning languages. Drawing on self‐determination theory (SDT), this study explores the impact of using GenAI tools on the autonomous motivation of a group of Chinese university students learning English by examining how GenAI tool integration influences their basic psychological needs (BPN) of autonomy, competence and relatedness, and the development of their language motivation over a four‐month academic term. A quasi‐experimental design was employed for two groups (N = 355), with the experimental group incorporated GenAI tools into their learning routine, while the control group followed traditional classroom instruction. The structural model indicated a notable enhancement in the influence of Time 2 autonomy on Time 2 autonomous motivation, observed exclusively within the experimental group. The repeated measures ANOVA indicated that integrating GenAI tools significantly enhanced students' autonomous motivation compared to traditional methods. The findings suggest that strategic implementation of GenAI tools can effectively boost motivation in language learning, offering valuable insights for the consideration of their use in the educational system. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Applied Linguistics. 2025/08, Vol. 35, Issue 3, p1338
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:0802-6106
- DOI:10.1111/ijal.12701
- Accession Number:187163692
- Copyright Statement:Copyright of International Journal of Applied Linguistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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