Blockchain, Machine Learning, and IoT Enabled MetaUniversity Framework: Towards a Decentralized Autonomous Model for Education 5.0
Abstract
The current research introduces the Decentralized Autonomous MetaUniversity (DAMU), a novel framework for redefining academic governance through Blockchain, Machine Learning, and IoT. Unlike prior blockchain-in-education efforts which are limited to certificate verification, DAMU supports the complete academic lifecycle right from university creation and instructor assignment to student enrollment, assessment recording and credit redemption. The framework contributes a role-based DAO governance model, tokenized academic credits and NFT-based learning passports integrated with IoT-verified activity tracking to name a few. Performance validation across Goerli, Polygon PoS, and zkSync Era demonstrates up to 62% gas cost reduction, 48.6% faster DApp responsiveness and improved scalability thereby making DAMU a pioneering step toward Education 5.0 in a Web3 ecosystem.
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