Language education is undergoing a profound transformation, shaped by multilingual realities, digital innovation, and the growing presence of artificial intelligence. Applied Linguistics in the AI Age offers a comprehensive and accessible exploration of how language is learned, taught, assessed, and experienced in today''s interconnected world. Beginning with the foundations of applied linguistics and major theories of language learning, the book guides readers through key topics such as multilingualism, translanguaging, discourse, communication, curriculum design, language teaching methodologies, and assessment practices. It also examines language learning across formal, nonformal, and informal settings, highlighting how learners engage with language both inside and beyond the classroom. Moving beyond traditional perspectives, this book explores the digital transformation of language education through technology-enhanced learning, online platforms, digital literacy, and AI-driven innovations. It discusses evolving language policies, teacher identity, professional development, and the changing roles of educators in technology-rich environments. Readers are also invited to reflect on critical issues such as linguistic diversity, social justice, inclusion, and ethical practice while considering emerging trends that will shape the future of learning. By connecting foundational concepts with contemporary challenges and future possibilities, this volume provides students, educators, researchers, and policymakers with a valuable guide to understanding and navigating language education in an era increasingly influenced by artificial intelligence and adaptive learning technologies.
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