Investigating the use of AI tools in English language learning: A phenomenological approach

This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner’s (1979) ecological systems theory, particularly microsystem, exosystem, and macrosystem. The findings demonstrated that the AI tools enable interactive, personalized, and gamified learning experiences that enhance student engagement, motivation, and English proficiency. The study also emphasized the importance of technological content knowledge and technological pedagogical knowledge in improving instructional methodologies. Challenges, including AI-related distractions and reduced direct interaction between educators and students, were identified, necessitating a balanced integration of these tools despite the inherent advantages. Furthermore, the research underscored the significance of institutional support, which encompasses ongoing professional development and technical assistance, to facilitate the successful integration of AI into education.

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Publication Details

Journal
Contemporary Educational Technology
Published
2025-03-20
DOI
https://doi.org/10.30935/cedtech/16188
Citations
5
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
12.40
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article

Investigating the use of AI tools in English language learning: A phenomenological approach

Nagaletchimee Annamalai, Xiaofan Wu
5 citations
Contemporary Educational Technology
AI in Service Interactions
12.40
article

Investigating the use of AI tools in English language learning: A phenomenological approach

Nagaletchimee Annamalai, Xiaofan Wu
article en
5 citations

Abstract

This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner’s (1979) ecological systems theory, particularly microsystem, exosystem, and macrosystem. The findings demonstrated that the AI tools enable interactive, personalized, and gamified learning experiences that enhance student engagement, motivation, and English proficiency. The study also emphasized the importance of technological content knowledge and technological pedagogical knowledge in improving instructional methodologies. Challenges, including AI-related distractions and reduced direct interaction between educators and students, were identified, necessitating a balanced integration of these tools despite the inherent advantages. Furthermore, the research underscored the significance of institutional support, which encompasses ongoing professional development and technical assistance, to facilitate the successful integration of AI into education.

Contemporary Educational TechnologyVol. 17(2)
Universiti Sains Malaysia (MY), Ajman University (AE)
Openalex Percentile: Top 2%
AI in Service Interactions
12.40
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Investigating the use of AI tools in English language learning: A phenomenological approach — Nagaletchimee Annamalai, Xiaofan Wu · Contemporary Educational Technology (2025) | TGRS Research Map | TGRS