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Exploring the Effects of Artificial Intelligence Application on EFL Students' Academic Engagement and Emotional Experiences: A Mixed‐Methods Study.

  • Published In: European Journal of Education, 2025, v. 60, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Guo, Yumeng; Wang, Yongliang 3 of 3

Abstract

As artificial intelligence (AI) gains prominence, its integration into second language (L2) /foreign language (FL) instruction has become a significant trend. Despite the considerable promise of AI for L2/FL learning, more research is still needed on its effects on student academic engagement in literature classes and the corresponding emotional experiences. This study, therefore, aimed to examine the effects of AI use on English as a foreign language (EFL) learners' academic engagement, and the emotional experience was also qualitatively explored. Students were allocated to the experimental group (N = 48), who received instruction integrated with AI, and the control group (N = 48), who received traditional instruction without AI assistance. Quantitative data were collected using an FL engagement scale, supplemented by individual semi‐structured interviews in the qualitative phase. The results indicated that integrating AI into EFL instruction has a positive effect on students' cognitive, emotional and social engagement. Moreover, the learners' emotional experiences were found to be abundant and dynamic, exerting influence on their academic engagement. This study provides valuable insights for language educators and researchers regarding integrating AI into EFL instruction. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:European Journal of Education. 2025/03, Vol. 60, Issue 1, p1
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0141-8211
  • DOI:10.1111/ejed.12812
  • Accession Number:183654305
  • Copyright Statement:Copyright of European Journal of Education 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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