Transforming Foreign Language Acquisition: A Perception-Based Study on Artificial Intelligence in Language Education Across Asia

Abstract

This study investigated the role of artificial intelligence (AI) in second language education (SLE) across Asia - a region marked by profound linguistic and cultural diversity. AI offers innovative tools to support language learning in these complex contexts. Applying a mixed-methods design, the study gathered quantitative data from more than 400 participants (386 learners and 48 educators) across multiple Asian countries, alongside qualitative feedback and a comprehensive literature review. The study examined the perceived effectiveness, accessibility, and cultural relevance of AI in language education. The findings indicated that among the AI tools available, aspects like language comprehension, vocabulary practice, and verbal communication were the easiest for users to navigate. Participants particularly appreciated features such as personalized learning paths, immediate feedback, and the integration of culturally relevant content that resonates with their preferences. This study aslo pointed out a strong and statistically significant link between the use of AI tools and perceived improvements in language proficiency. However, challenges remain, including issues related to inadequate digital infrastructure, affordability, and cultural mismatches. While AI holds transformative promise for inclusive and personalized language education in Asia, addressing issues of access and cultural sensitivity is essential. Future research should focus on developing sustainable, contextually grounded AI solutions to support diverse learners across the region.

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