Overview
The Internet of Educational Things - Enhancing Students’ Engagement and Learning Performance delves into the transformative potential of the Internet of Things (IoT) within education. This comprehensive guide explores how IoT technology can revolutionize traditional teaching methods and learning environments, fostering more interactive, adaptive, and data-driven experiences. The book covers a wide range of topics, including the development of IoT-enabled classrooms, intelligent tutoring systems, and online labs. By leveraging real-time data and advanced analytics, educators can personalize learning paths, enhance student engagement, and optimize resource allocation. Practical applications, real-world examples, and case studies illustrate the benefits and challenges of incorporating IoT in educational settings, making it a valuable resource for students, teachers, researchers, and policymakers. The book provides practical implementation strategies and addresses critical issues such as data privacy, cybersecurity, and ethical considerations. It thoroughly examines the latest technologies, including AI, AR, VR, and digital twins, and their integration with IoT to create futuristic learning environments. The book’s unique contribution lies in its emphasis on securing IoT systems and its recommendations for overcoming infrastructure readiness and staff training obstacles. By presenting a forward-looking perspective on the role of IoT in education, this book aims to equip stakeholders with the knowledge and tools necessary to create innovative, inclusive, and secure learning ecosystems that prepare students for the future.
Full Product Details
Author: Muralidhar Kurni ,
K. G. Srinivasa
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: 2025 ed.
ISBN: 9783031673863
ISBN 10: 3031673867
Pages: 263
Publication Date: 20 September 2024
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Author Information
Dr Muralidhar Kurni is an associate professor in the Computer Science and Engineering department at Anantha Lakshmi Institute of Technology & Sciences, Ananthapuramu, India. He is a senior member of IEEE and a professional member of ACM, the author of many textbooks, and a reviewer for reputed international journals and conferences. Dr Srinivasa K. G. is a professor at the International Institute of Information Technology, Naya Raipur, Chhattisgarh, India. He is recognized for his innovative teaching practices, outcome-based education, and contributions to cyber-physical systems and fog computing.
