Mediating oral communication with ChatGPT: a sociocultural and technology acceptance perspective in ESL classrooms

This quasi-experimental mixed-methods study examined how ChatGPT-mediated rehearsal activities influence English as a second language (ESL) learners’oral proficiency and technology acceptance. Sixty-eight undergraduates were divided into artificial intelligence (AI)-assisted and teacher-led rehearsal groups over 16 weeks. Using repeated-measures analysis and thematic interviews, the results showed observable improvement in fluency and pronunciation among ChatGPT users (Hedges’ g = .72, p < .01), while accuracy gains remained modest. Technology acceptance model analysis indicated that perceived usefulness and enjoyment were key predictors of engagement, aligning with sociocultural theory’s emphasis on scaffolding and self-regulation. Qualitative data revealed iterative feedback and reduced anxiety as mediating processes. The findings highlight the potential of AI-mediated interaction to complement communicative teaching when supported by teacher scaffolding.

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Publication Details

Journal
Language Teaching Research
Published
2026-02-21
DOI
https://doi.org/10.1177/13621688261418099
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70
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article

Mediating oral communication with ChatGPT: a sociocultural and technology acceptance perspective in ESL classrooms

Monjurul Islam, Qian Song, Alizah Binti Lambri, Zhu Rong
1 citations
Language Teaching Research
Artificial Intelligence in Healthcare and Education
17.70
article

Mediating oral communication with ChatGPT: a sociocultural and technology acceptance perspective in ESL classrooms

Monjurul Islam, Qian Song, Alizah Binti Lambri, Zhu Rong
article en
1 citations

Abstract

This quasi-experimental mixed-methods study examined how ChatGPT-mediated rehearsal activities influence English as a second language (ESL) learners’oral proficiency and technology acceptance. Sixty-eight undergraduates were divided into artificial intelligence (AI)-assisted and teacher-led rehearsal groups over 16 weeks. Using repeated-measures analysis and thematic interviews, the results showed observable improvement in fluency and pronunciation among ChatGPT users (Hedges’ g = .72, p < .01), while accuracy gains remained modest. Technology acceptance model analysis indicated that perceived usefulness and enjoyment were key predictors of engagement, aligning with sociocultural theory’s emphasis on scaffolding and self-regulation. Qualitative data revealed iterative feedback and reduced anxiety as mediating processes. The findings highlight the potential of AI-mediated interaction to complement communicative teaching when supported by teacher scaffolding.

Language Teaching Research
Sultan Idris Education University (MY), Dalian Medical University (CN), Zhaotong University (CN)
Quality Education
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
17.70
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