From Excitement to Anxiety: Exploring English as a Foreign Language Learners' Emotional Experiences in the Artificial Intelligence‐Powered Classrooms

ABSTRACT The use of artificial intelligence (AI) technologies in second/foreign language education has recently gained a bulk of attention. However, the emotional experiences of English as a foreign language (EFL) learners in AI‐mediated classes have been ignored. To fill this gap, the present qualitative study examined 34 Chinese EFL students' perceptions of AI‐induced emotions and regulation strategies. A semi‐structured interview and a narrative frame were used to collect the data. The gathered data were thematically analysed through the latest version of MAXQDA software (v. 2023). The findings revealed that Chinese EFL students had mostly experienced positive emotions of ‘motivation’, ‘excitement’, ‘engagement’ and ‘confidence’. On the negative side, they reported experiencing ‘frustration’, ‘anxiety’ and ‘stress’ more frequently in their classes. Furthermore, the study indicated that the participants had used six strategies, namely ‘seeking help from others’, ‘shifting attention’, ‘cognitive change’, ‘persistent practice’, ‘staying positive’ and ‘suppression’ to regulate their AI‐induced emotions. The findings are discussed and implications are provided for EFL students and educators to understand the emotional aspect of AI injection into L2 education.

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Publication Details

Journal
European Journal of Education
Published
2024-12-31
DOI
https://doi.org/10.1111/ejed.12845
Citations
111
Primary Topic
Emotional Intelligence and Performance
Type
article
Field-Weighted Citation Impact
71.44
Controls
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article

From Excitement to Anxiety: Exploring English as a Foreign Language Learners' Emotional Experiences in the Artificial Intelligence‐Powered Classrooms

Ali Derakhshan, Zhonggui Xin
111 citations
European Journal of Education
Emotional Intelligence and Performance
71.44
article

From Excitement to Anxiety: Exploring English as a Foreign Language Learners' Emotional Experiences in the Artificial Intelligence‐Powered Classrooms

Ali Derakhshan, Zhonggui Xin
article en
111 citations

Abstract

ABSTRACT The use of artificial intelligence (AI) technologies in second/foreign language education has recently gained a bulk of attention. However, the emotional experiences of English as a foreign language (EFL) learners in AI‐mediated classes have been ignored. To fill this gap, the present qualitative study examined 34 Chinese EFL students' perceptions of AI‐induced emotions and regulation strategies. A semi‐structured interview and a narrative frame were used to collect the data. The gathered data were thematically analysed through the latest version of MAXQDA software (v. 2023). The findings revealed that Chinese EFL students had mostly experienced positive emotions of ‘motivation’, ‘excitement’, ‘engagement’ and ‘confidence’. On the negative side, they reported experiencing ‘frustration’, ‘anxiety’ and ‘stress’ more frequently in their classes. Furthermore, the study indicated that the participants had used six strategies, namely ‘seeking help from others’, ‘shifting attention’, ‘cognitive change’, ‘persistent practice’, ‘staying positive’ and ‘suppression’ to regulate their AI‐induced emotions. The findings are discussed and implications are provided for EFL students and educators to understand the emotional aspect of AI injection into L2 education.

European Journal of EducationVol. 60(1)
Golestan University (IR), Chaohu University (CN)
Quality Education
Openalex Percentile: Top 0%
Emotional Intelligence and Performance
71.44
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