Language learning

AI in Language Teaching, Learning, and Assessment (2024), edited by Fang Pan, offers a comprehensive and insightful exploration of how artificial intelligence (AI) is reshaping language education. The book is thoughtfully divided into three well-structured sections Preview, Perspectives, and Practice, each addressing essential dimensions of AI integration. In the Preview section, Pan examines AI's transformative role in enhancing educational delivery and personalizing learning experiences, paving the way for greater efficiency and accessibility. Subsequently, the Perspectives section collates diverse global viewpoints that critically address challenges such as algorithmic bias, data privacy, and equity concerns. Finally, the Practice section offers evidence-based case studies, showcasing tangible innovations such as adaptive tutoring systems and AI-powered assessment tools, which have demonstrated real-world impact. More importantly, Pan strikes an impressive balance between highlighting AI's vast potential and scrutinizing its ethical and practical complexities. By combining theoretical perspectives, empirical findings, and practical applications, this book stands as an essential resource for educators, researchers, and policymakers, aiming to navigate AI-driven developments in language education with both responsibility and clarity.

This study investigated the acceptance of ChatGPT as a language learning tool among 536 learners, including international English language learners in the UK (N = 414) and Iranian EFL learners (N = 122), highlighting cross-cultural differences in technology adoption. Using a mixed-methods approach guided by the Technology Acceptance Model (TAM), which also incorporated a deeper exploration of cultural and contextual factors, this study examined perceived ease of use, perceived usefulness, attitudes, behavioral intention, actual usage, perceived enjoyment, facilitating conditions, and technological complexity. Quantitative surveys revealed that Iranian EFL learners exhibit higher engagement and acceptance of ChatGPT, potentially driven by more favorable facilitating conditions and intrinsic motivation observed in that group. Qualitative interviews further emphasized cultural and educational influences, with Iranian EFL learners valuing accessibility and consistent feedback, while UK international learners stressed creative applications and contextual accuracy. The findings underscore the importance of considering the context-dependent nature of technology acceptance and adapting AI-powered tools to diverse learner needs and specific educational environments, rather than assuming universal benefits. These results offer practical implications for educators and developers aiming to integrate such technologies into language education.