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Kianinezhad, Neda. (1404). Review of AI in Language Teaching, Learning, and Assessment (2024) edited by Fang Pan. IGI Global: 384 pp., ISBN: 9798369308738.. , 3(1), -. doi: 10.22077/ali.2025.8602.1059
Neda Kianinezhad. "Review of AI in Language Teaching, Learning, and Assessment (2024) edited by Fang Pan. IGI Global: 384 pp., ISBN: 9798369308738.". , 3, 1, 1404, -. doi: 10.22077/ali.2025.8602.1059
Kianinezhad, Neda. (1404). 'Review of AI in Language Teaching, Learning, and Assessment (2024) edited by Fang Pan. IGI Global: 384 pp., ISBN: 9798369308738.', , 3(1), pp. -. doi: 10.22077/ali.2025.8602.1059
Kianinezhad, Neda. Review of AI in Language Teaching, Learning, and Assessment (2024) edited by Fang Pan. IGI Global: 384 pp., ISBN: 9798369308738.. , 1404; 3(1): -. doi: 10.22077/ali.2025.8602.1059

Review of AI in Language Teaching, Learning, and Assessment (2024) edited by Fang Pan. IGI Global: 384 pp., ISBN: 9798369308738.

Applied Linguistics Inquiry
مقاله 12، دوره 3، شماره 1، خرداد 2025
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.22077/ali.2025.8602.1059
نویسنده
Neda Kianinezhad*
Hakim Sabzevari University
چکیده
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.
کلیدواژه‌ها
Language Teaching؛ Language Learning؛ Assessment Tools؛ Personalized Learning
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تعداد مشاهده مقاله: 233


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