AI as a reflective coach in graduate ESL practicum: activity theory insights into student-teacher development

This study examines the role of artificial intelligence (AI) as a reflective coach in graduate ESL practicums, using Activity Theory to assess its impact on student-teachers’ (STs) reflective practices. An exploratory case study of 26 graduate ESL STs was conducted, with data from AI interactions and post-reflection questionnaires analysed qualitatively. Findings indicate that AI enhances STs’ reflection, providing a structured, data-driven method for pedagogical development and personalised anytime feedback, thereby addressing feedback challenges in ESL teaching practicum courses. Despite limitations like diverse ST backgrounds and practicum environments, findings suggest AI’s promise for transformative learning experiences. The study concludes that AI, as a reflective tool in ESL practicums, warrants further research into its impact on teacher development and adaptability in various teaching contexts.

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Publication Details

Journal
European Journal of Open Distance and E-Learning
Published
2024-11-08
DOI
https://doi.org/10.2478/eurodl-2024-0003
Citations
10
Primary Topic
Innovative Education and Learning Practices
Type
article
Field-Weighted Citation Impact
21.89
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article

AI as a reflective coach in graduate ESL practicum: activity theory insights into student-teacher development

Julian L’Enfant
10 citations
European Journal of Open Distance and E-Learning
Innovative Education and Learning Practices
21.89
article

AI as a reflective coach in graduate ESL practicum: activity theory insights into student-teacher development

Julian L’Enfant
article en
10 citations

Abstract

This study examines the role of artificial intelligence (AI) as a reflective coach in graduate ESL practicums, using Activity Theory to assess its impact on student-teachers’ (STs) reflective practices. An exploratory case study of 26 graduate ESL STs was conducted, with data from AI interactions and post-reflection questionnaires analysed qualitatively. Findings indicate that AI enhances STs’ reflection, providing a structured, data-driven method for pedagogical development and personalised anytime feedback, thereby addressing feedback challenges in ESL teaching practicum courses. Despite limitations like diverse ST backgrounds and practicum environments, findings suggest AI’s promise for transformative learning experiences. The study concludes that AI, as a reflective tool in ESL practicums, warrants further research into its impact on teacher development and adaptability in various teaching contexts.

European Journal of Open Distance and E-LearningVol. 26(S1)
Saint Mary's University (CA), Lancaster University (GB)
Quality Education
Openalex Percentile: Top 1%
Innovative Education and Learning Practices
21.89
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