This book examines the evolving landscape of private tutoring in the context of rapid advances in generative artificial intelligence (AI), with particular attention to its implications for teaching, learning, and educational equity. It critically explores how AI-driven tools are reshaping traditional forms of supplementary education, enabling new modes of personalised instruction while also raising important pedagogical, ethical, and policy-related questions.
Drawing on contemporary research and emerging practices, the book analyses the interactions between human tutors and AI systems, considering issues such as instructional quality, student autonomy, and the role of expertise in increasingly technology-mediated learning environments. It also addresses broader societal concerns, including access disparities, regulatory challenges, and the potential reconfiguration of the private tutoring industry.
By situating private tutoring within the wider digital transformation of education, this book provides a timely and interdisciplinary contribution to debates on the future of learning. It serves as a helpful resource for researchers, educators, policymakers, and stakeholders seeking to understand the opportunities and challenges posed by generative AI in supplementary education contexts.
This book examines the evolving landscape of private tutoring in the context of rapid advances in generative artificial intelligence (AI), with particular attention to its implications for teaching, learning, and educational equity. It critically explores how AI-driven tools are reshaping traditional forms of supplementary education, enabling new modes of personalised instruction while also raising important pedagogical, ethical, and policy-related questions.
Drawing on contemporary research and emerging practices, the book analyses the interactions between human tutors and AI systems, considering issues such as instructional quality, student autonomy, and the role of expertise in increasingly technology-mediated learning environments. It also addresses broader societal concerns, including access disparities, regulatory challenges, and the potential reconfiguration of the private tutoring industry.
By situating private tutoring within the wider digital transformation of education, this book provides a timely and interdisciplinary contribution to debates on the future of learning. It serves as a helpful resource for researchers, educators, policymakers, and stakeholders seeking to understand the opportunities and challenges posed by generative AI in supplementary education contexts.
Shaljan Areepattamannil
Private tutoring Shadow education Generative artificial intelligence AI in education Intelligent tutoring systems Personalised learning Human–AI collaboration Educational equity Educational technology policy Tutoring markets and platforms