Artificial Intelligence in Education presents a comprehensive exploration of how Al is reshaping teaching, learning, and the broader educational ecosystem. Designed for students, teachers, and researchers, the book offers both conceptual clarity and practical insights, guiding readers through the opportunities and challenges of integrating Al into education. The book begins with an introduction to the meaning, scope, and evolution of Al, outlining its key features and contrasting its role in traditional and modern education. It then explores AI tools and technologies, including intelligent tutoring systems, adaptive platforms, automated assessment, immersive realities, and student support through chatbots. Moving beyond technology, the text highlights how Al supports teaching practices, from lesson planning and classroom management to personalised feedback and teacher-AI collaboration. The student learning experience is examined in depth, with discussions on adaptive pathways, motivation, gamification, addressing learning disabilities, and fostering autonomy. Recognising that innovation must be balanced with responsibility, the book dedicates a chapter to the ethical and social dimensions of AI, considering data privacy, fairness, accessibility, and shifting roles of teachers and students. Finally, the concluding chapter looks ahead to the future of AI in higher education, lifelong learning, global trends, and the preparation required for teachers to embrace Al's potential while navigating its challenges. With its structured approach, Artificial Intelligence in Education serves as a valuable resource that inspires critical reflection and equips readers with knowledge to harness Al responsibly, ensuring education remains inclusive, innovative, and impactful.
