Integrating Blockchain, Federated Learning, and Metaverse Ecosystems Into Decentralized Classrooms

Education is shifting from centralized, institution-driven models toward decentralized, learner-centric ecosystems through tools like digital technology. Delivering personalized, engaging learning at scale depends on systems that can protect student privacy while adapting to how individuals truly learn. However, traditional institutional infrastructure isn't built for that kind of flexibility. This gap drives the integration of blockchain and federated learning, which brings secure data management and privacy-preserving intelligence directly into the classroom rather than treating them as separate IT concerns. As metaverse technologies add immersive environments, trust and transparency may coexist with adaptive learning inside a single unified framework. Integrating Blockchain, Federated Learning, and Metaverse Ecosystems Into Decentralized Classrooms examines decentralized education, exploring how these technologies can be integrated into next-generation learning environments. By synthesizing research across distributed systems and AI, this book bridges theoretical foundations with practical implementation, proposing architectural frameworks for secure, scalable educational ecosystems while critically evaluating challenges like regulatory compliance and system scalability. Covering topics such as decentralized learning management systems (DLMS), federated learning-enabled immersive education, and privacy-preserving student data management, this book is an indispensable academic resource for graduate and doctoral students, educational technology researchers, instructional designers, university IT and infrastructure administrators, educational policymakers, and more.

• Format: Paperback
• Language: English
• ISBN13: 9798260013649
• Release Date: January 1
• Publisher: Igi Global Scientific Publishing
• Length: 368 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"