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Discover how artificial intelligence is transforming traditional classrooms into responsive, intelligent ecosystems to shape the future of education.
In the rapidly evolving landscape of the 21st century, education stands at a transformative crossroads. Traditional classrooms, long reliant on conventional teaching methods and static infrastructure, are now being reimagined through the lens of innovation, technology, and artificial intelligence. This book explores this dynamic shift and envisions a future where schools are not just centers of learning, but intelligent, responsive ecosystems that adapt to the needs of every student and educator. This book recognizes that the challenges faced by modern educational institutions can no longer be addressed using outdated models. Artificial intelligence offers unprecedented opportunities to enhance how Universities and schools function, teach, and evolve. From intelligent classroom assistants and predictive analytics to energy-efficient systems and student behavior monitoring, AI is already reshaping the foundation of academic environments. In this book, we consider not only technological advancements but also the ethical implications, implementation challenges, and future influence of this emerging technology. This essential resource inspires educators, policymakers, researchers, and technologists to collaborate in building educational spaces that are inclusive, innovative, and intelligent.
Readers will find the volume:
Audience
Educational Tech researchers and policymakers, educators, and professionals researching new ways to create individualized learning plans for student success.
Amit Kumar Tyagi, PhD is an Assistant Professor at the School of Law, Forensic Justice and Policy Studies, National Forensic Sciences University, Gandhinagar, Gujarat, India. He has published over 350 papers in refereed international journals, conferences, authored five books and edited more than 40 books. He has also filed more than 15 patents (nationally and internationally) in the areas of deep learning, Internet of Things, cyber-physical systems and computer vision.
| Publication Date: | 17 August 2026 |
| Publisher: | Wiley |
| Imprint: | Wiley-Scrivener |
| ISBN-13: | 9781394399116 |
| Format: | Hardback |
| Page Count: | 784 |