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As education evolves through the convergence of AI, the metaverse, and decentralized technologies, institutions are moving beyond traditional learning management systems toward interconnected learning ecosystems where knowledge, credentials, and learning experiences can exist across multiple platforms. This transformation creates new opportunities for personalized, accessible, and lifelong learning while raising important questions about privacy, governance, interoperability, and trust. AI serves as a driving force behind this shift by enabling adaptive learning, intelligent tutoring, and predictive analytics that support individualized educational pathways. The metaverse contributes immersive, experiential environments where learners engage through simulations, virtual collaboration, and avatar-based interactions rather than static coursework alone. Blockchain further supports this evolution by providing secure, decentralized credentialing and learner-controlled records that reduce reliance on centralized institutions. Federated learning extends these capabilities by enabling intelligent systems to improve collaboratively while keeping sensitive learner data at its source, enhancing both privacy and security. AI-Driven Frameworks and Intelligent Metaverse Ecosystems for Decentralized Education examines decentralized education as a dynamic ecosystem rather than a single technological model, contributing to an emerging interdisciplinary dialogue at the intersection of educational technology, AI, and digital governance. This book explores the technical architectures that enable intelligent, decentralized learning environments while addressing the institutional, ethical, and policy challenges they introduce. Drawing on case studies and comparative platform analyses, it highlights both the opportunities and unresolved complexities associated with decentralized educational systems. Covering topics such as blockchain, micro-credentials, and virtual reality, this book is an essential resource for graduate and doctoral students, instructional designers, blockchain and Web3 developers, higher education administrators, micro-credential specialists, policymakers, and researchers.
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