Exploring the Evolution of AI Integration in English as a Foreign Language Education: A Scopus-Based Bibliometric Analysis (1997-2023)

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Mohanad G. Yaseen
Sara S. Alnakeeb

Abstract

Significant scholarly interest has been focused on the use of AI in English as a Foreign Language (EFL) instruction because it presents novel opportunities for improving language learning contexts and pedagogical approaches. This study provides an in-depth investigation into how AI is revolutionizing English as a foreign language (EFL) instruction, with special focus on the ways in which this technology can help students acquire a language in a fun, engaging, and one-on-one setting. This research examines the ethical and sociological implications of the broad integration of AI technology into language learning environments, highlighting major trends and identifying critical gaps through a thorough literature assessment and bibliometric analysis. In order to advance the conversation and promote responsible AI integration in EFL classrooms, the findings stress the importance of addressing long-term efficacy and sustainability concerns, offering extensive pedagogical training for educators, and developing interdisciplinary collaborations. This study aids the expanding body of knowledge by clarifying the complex role that AI plays in EFL classrooms, providing direction for future studies, and paving the way for the creation of solid frameworks for the responsible application of AI in educational settings.

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How to Cite
Mohanad G. Yaseen, & Sara S. Alnakeeb. (2023). Exploring the Evolution of AI Integration in English as a Foreign Language Education: A Scopus-Based Bibliometric Analysis (1997-2023). Mesopotamian Journal of Computer Science, 2023, 143–158. https://doi.org/10.58496/MJCSC/2023/019
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