Artificial Intelligence Implementation in Teaching English as a Foreign Language: A Qualitative Research Synthesis

The rapidly growing influence of artificial intelligence (AI) is poised to fundamentally transform the realm of English as a Foreign Language (EFL) instruction. This research studied this emerging trend through a qualitative research synthesis of ۲۴ peer-reviewed articles published between ۲۰۲۱ and ۲۰۲۴. It examined them to highlight the diverse applications, challenges, and teaching practices associated with AI in EFL education. Methodological rigor was ensured through established inclusion and exclusion criteria for selecting the articles. The qualitative synthesis and thematic analysis revealed five prominent themes that illuminate the current landscape of AI in EFL instruction: ۱) conceptualizations of AI within EFL settings; ۲) factors influencing its adoption; ۳) challenges faced when integrating AI into EFL settings; ۴) limitations of AI-based tools and methods; and ۵) potential avenues for future investigation. Although integrating AI into EFL pedagogy is still in its early stages and presents various challenges, the findings provide valuable insights and practical recommendations for effectively using AI in EFL education, enhancing teaching methods, and improving student learning outcomes. Educators can make informed decisions regarding its implementation while navigating the evolving EFL instruction landscape by cultivating an understanding of AI's potential benefits and inherent limitations.

کلیدواژه ها:

artificial intelligence ، Digital Language Instruction ، Emerging Technologies ، Mobile-Assisted Language Learning ، Qualitative Synthesis