This volume offers research-led synthesis of contemporary scholarship on AI in higher education, bringing together curated literature reviews, empirical studies, and policy-oriented analyses from a global perspective.

Structured across six thematic parts, the book examines the evolution of AI in higher education, institutional policies and governance frameworks, AI-supported teaching and learning resources, the changing roles of teachers and learners and the ethical, legal, and equity-related implications of AI deployment. Chapters address generative AI, large language models, chatbots, learning analytics, robotic process automation, extended reality, gamification, and algorithmically mediated assessment, alongside critical discussions of disability inclusion, special education, bias mitigation, academic integrity, and copyright law.

It highlights how AI is being interpreted, adopted, and contested across disciplines and regions. It serves as a reliable reference for  understanding the current state of the field and for informing future research, institutional decision-making, and responsible AI integration in higher education.

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Dr K. Venu Madhavi is an Associate Professor in the Department of Materials Development, Testing, and Evaluation at the School of English Language Education, The English and Foreign Languages University, Hyderabad, India. Her areas of specialisation include teaching materials, curriculum development, and technology-enhanced language teaching. She worked on several sponsored research projects, including the International Corpus Network of Asian Learners of English (ICNALE), University Grants Commission (UGC), and English Language Teachers' Association of India (ELTAI). She has actively presented research papers at prestigious national and international conferences and seminars, and has published research articles in reputed national and international journals.