Artificial intelligence (AI) and the Internet of Things (IoT) are redefining the educational landscape across schools, universities, and training institutions worldwide. This book explores how these technologies are reshaping teaching, learning, assessment, governance, and institutional strategy in the evolving EduTech era.Bringing together international scholars and practitioners, this volume examines the integration of AI and IoT from multiple perspectives: pedagogical, institutional, strategic, ethical, and environmental. It addresses resistance to technological change, the development of smart classrooms, prompt literacy for educators, AI-ready school models, and policy-to-practice transitions in higher education. The book also explores teacher identity transformation through AI co-teaching tools, equity challenges in global EdTech ecosystems, and empirical insights such as evidence from British universities. Furthermore, it analyzes smart diagnostics, personalized learning systems, sustainability concerns related to AI and IoT infrastructures, and the broader connection between digital transformation and education. Through conceptual frameworks, case studies, and policy analysis, the book provides a comprehensive roadmap for responsible and effective AI-driven educational innovation.This book is intended for researchers, policymakers, school leaders, higher education administrators, EdTech professionals, and graduate students in education, digital transformation, and innovation management. It will also benefit practitioners seeking strategic guidance for implementing AI and IoT solutions in educational environments.

Artificial intelligence (AI) and the Internet of Things (IoT) are redefining the educational landscape across schools, universities, and training institutions worldwide. This book explores how these technologies are reshaping teaching, learning, assessment, governance, and institutional strategy in the evolving EduTech era.Bringing together international scholars and practitioners, this volume examines the integration of AI and IoT from multiple perspectives: pedagogical, institutional, strategic, ethical, and environmental. It addresses resistance to technological change, the development of smart classrooms, prompt literacy for educators, AI-ready school models, and policy-to-practice transitions in higher education. The book also explores teacher identity transformation through AI co-teaching tools, equity challenges in global EdTech ecosystems, and empirical insights such as evidence from British universities. Furthermore, it analyzes smart diagnostics, personalized learning systems, sustainability concerns related to AI and IoT infrastructures, and the broader connection between digital transformation and education. Through conceptual frameworks, case studies, and policy analysis, the book provides a comprehensive roadmap for responsible and effective AI-driven educational innovation.This book is intended for researchers, policymakers, school leaders, higher education administrators, EdTech professionals, and graduate students in education, digital transformation, and innovation management. It will also benefit practitioners seeking strategic guidance for implementing AI and IoT solutions in educational environments.

Artificial intelligence (AI) and the Internet of Things (IoT) are redefining the educational landscape across schools, universities, and training institutions worldwide. This book explores how these technologies are reshaping teaching, learning, assessment, governance, and institutional strategy in the evolving EduTech era.Bringing together international scholars and practitioners, this volume examines the integration of AI and IoT from multiple perspectives: pedagogical, institutional, strategic, ethical, and environmental. It addresses resistance to technological change, the development of smart classrooms, prompt literacy for educators, AI-ready school models, and policy-to-practice transitions in higher education. The book also explores teacher identity transformation through AI co-teaching tools, equity challenges in global EdTech ecosystems, and empirical insights such as evidence from British universities. Furthermore, it analyzes smart diagnostics, personalized learning systems, sustainability concerns related to AI and IoT infrastructures, and the broader connection between digital transformation and education. Through conceptual frameworks, case studies, and policy analysis, the book provides a comprehensive roadmap for responsible and effective AI-driven educational innovation.This book is intended for researchers, policymakers, school leaders, higher education administrators, EdTech professionals, and graduate students in education, digital transformation, and innovation management. It will also benefit practitioners seeking strategic guidance for implementing AI and IoT solutions in educational environments.