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A01=Balasamy Krishnasamy
A01=Rajesh Kumar Dhanaraj
A01=Rohan Jaikumar
A01=Suganyadevi Sellappan
A01=Umapriya Rajendran
adaptive learning systems
AI-powered tutoring
artificial intelligence
Author_Balasamy Krishnasamy
Author_Rajesh Kumar Dhanaraj
Author_Rohan Jaikumar
Author_Suganyadevi Sellappan
Author_Umapriya Rajendran
Category=JNA
Category=JNLC
Category=JNM
Category=JNP
Category=JNT
Category=UB
Category=UYQ
Category=UYQF
data privacy education
education
educational technology policy
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical AI
generative AI
machine learning
personalized learning
real-time curriculum adaptation
student engagement strategies
transformer networks

Product details

  • ISBN 9781032883595
  • Weight: 800g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Nov 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The rapid evolution of generative AI (GenAI) is reshaping education, making personalized learning more adaptive, accessible, and effective than ever before. This book explores the profound ways in which GenAI-driven tools—such as GPT-4, transformers, and GANs—are transforming traditional teaching and learning paradigms. From real-time curriculum adaptation to AI-powered tutors, GenAI is not just enhancing education—it is redefining it.

Through in-depth analysis and real-world case studies from Finland, Singapore, Japan, and the United States, this book examines how AI-driven learning environments foster student engagement and improve outcomes. It highlights the shift from one-size-fits-all education to truly individualized learning paths, where AI dynamically adjusts content, pacing, and feedback to each learner’s needs. Teachers, rather than being replaced, are empowered with intelligent tools that enhance their instructional strategies.

The rise of AI in education also brings critical challenges. This book does not shy away from discussing ethical concerns, data privacy issues, and the risks of bias in AI-driven education. It provides a balanced perspective, offering strategies to ensure that GenAI serves all students equitably, promoting fairness and inclusivity in the classroom. Whether you are an educator, researcher, policymaker, or technology leader, Generative AI for Personalized Learning offers valuable insights into the future of education. It presents a forward-thinking vision—ne where AI and human expertise work in harmony to create a more responsive, scalable, and learner-centric educational experience.

The future of learning is not coming—t is already here. This book is your essential guide to understanding and navigating this transformation.

Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. His exceptional academic and research contributions have placed him among the top 2% of scientists globally, an honor recognized by Elsevier and Stanford University.

Balasamy Krishnasamy is working as an Assistant Professor in the Department of Artificial intelligence and Data Science at Bannari Amman Institute of Technology, Sathyamangalam, India.

Umapriya Rajendran is an Assistant Professor in the Department of Chemical Engineering at KPR Institute of Engineering and Technology, Coimbatore, India.

Suganyadevi Sellappan is an Assistant Professor in the department of ECE at KPR Institute of Engineering and Technology, Tamilnadu, India.

Rohan Jaikumar, Director, Metasage Alliance, is an alumnus of IIM Kozhikode and a recognized expert in large-scale training, strategic transformation, and educational reform. He has over 16 years of experience leading high-impact initiatives across education, research, and social-impact sectors, designing capacity-building programs and driving institutional change.

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