The impact of AI-mediated instruction on speaking proficiency, enjoyment, anxiety, and emotional engagement: a mixed-methods approach

This study investigated how AI-mediated language learning with AI-powered voice assistant impacts the speaking skills, Foreign Language Enjoyment (FLE), anxiety, and emotional engagement of Chinese EFL learners. Using a quasi-experimental design, 68 participants were divided into an AI group (daily interaction with an AI conversational agent) and a control group (traditional peer-to-peer speaking activities) for 10 weeks. Quantitative data from pre- and post-tests (IELTS Speaking Test, FLE scale, Foreign Language Classroom Anxiety Scale, Emotional Engagement Scale) showed significant improvements on all measures for both groups via paired-sample t-tests, with the AI group demonstrating superior gains. ANCOVA analyses, controlling for pre-test scores, confirmed AI-mediated instruction significantly outperformed traditional methods in enhancing speaking skills, increasing FLE, reducing anxiety, and boosting emotional engagement. Qualitative insights from semi-structured interviews provided deeper understanding, highlighting themes such as learner navigation of ambiguity, perceived lack of authentic interaction, unexpected enjoyment in gamified learning, and development of a self-regulated learning mindset. These findings suggest AI-powered conversational tools can substantially enhance cognitive and affective dimensions of language learning, offering a promising approach for technology integration in language education.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-03-13
DOI
https://doi.org/10.1057/s41599-026-06705-2
Primary Topic
Emotional Intelligence and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of AI-mediated instruction on speaking proficiency, enjoyment, anxiety, and emotional engagement: a mixed-methods approach

Mohini Singh, Haiyan Yan
Humanities and Social Sciences Communications
Emotional Intelligence and Performance
article

The impact of AI-mediated instruction on speaking proficiency, enjoyment, anxiety, and emotional engagement: a mixed-methods approach

Mohini Singh, Haiyan Yan
article en

Abstract

This study investigated how AI-mediated language learning with AI-powered voice assistant impacts the speaking skills, Foreign Language Enjoyment (FLE), anxiety, and emotional engagement of Chinese EFL learners. Using a quasi-experimental design, 68 participants were divided into an AI group (daily interaction with an AI conversational agent) and a control group (traditional peer-to-peer speaking activities) for 10 weeks. Quantitative data from pre- and post-tests (IELTS Speaking Test, FLE scale, Foreign Language Classroom Anxiety Scale, Emotional Engagement Scale) showed significant improvements on all measures for both groups via paired-sample t-tests, with the AI group demonstrating superior gains. ANCOVA analyses, controlling for pre-test scores, confirmed AI-mediated instruction significantly outperformed traditional methods in enhancing speaking skills, increasing FLE, reducing anxiety, and boosting emotional engagement. Qualitative insights from semi-structured interviews provided deeper understanding, highlighting themes such as learner navigation of ambiguity, perceived lack of authentic interaction, unexpected enjoyment in gamified learning, and development of a self-regulated learning mindset. These findings suggest AI-powered conversational tools can substantially enhance cognitive and affective dimensions of language learning, offering a promising approach for technology integration in language education.

Humanities and Social Sciences Communications
Shandong Management University (CN), Northern University of Malaysia (MY)
Quality Education
Openalex Percentile: Top 33%
Emotional Intelligence and Performance
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