Artificial Intelligence in Applied Language Learning offers a comprehensive exploration of how Artificial Intelligence is reshaping language teaching, learning, and assessment across global contexts.
Featuring original case studies from higher education, multilingual classrooms, and teacher training programs, it examines pedagogy, ethics, and practice to provide evidence-based frameworks for integrating AI into applied language learning. Readers will gain practical tools for prompt design, assessment rubrics, AI literacy training, and academic integrity management, alongside insights from diverse cultural and linguistic contexts. With contributions from leading scholars and practitioners, the book combines theoretical grounding with real-world applications, making it an essential guide for navigating AI in language education.
Artificial Intelligence in Applied Language Learning is intended for teacher trainers, curriculum developers, and language professionals seeking practical frameworks and global perspectives on AI in language learning, as well as researchers and postgraduate students in applied linguistics, CALL, SLA, and educational technology.