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

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.

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Publication Details

Journal
European Journal of Education
Published
2024-10-27
DOI
https://doi.org/10.1111/ejed.12812
Citations
166
Primary Topic
Grit, Self-Efficacy, and Motivation
Type
article
Field-Weighted Citation Impact
106.83

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article

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

Yumeng Guo, Yongliang Wang
166 citations
European Journal of Education
Grit, Self-Efficacy, and Motivation
106.83
article

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

Yumeng Guo, Yongliang Wang
article en
166 citations

Abstract

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.

European Journal of EducationVol. 60(1)
Nanjing Normal University (CN), North China University of Water Resources and Electric Power (CN)
Education Department of Henan Province
Quality Education
Openalex Percentile: Top 0%
Grit, Self-Efficacy, and Motivation
106.83
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Exploring the Effects of Artificial Intelligence Application on EFL Students' Academic Engagement and Emotional Experiences: A Mixed‐Methods Study — Yumeng Guo, Yongliang Wang · European Journal of Education (2024) | TGRS Research Map | TGRS