The evolution of education into a smart and data-centric ecosystem requires a governance model that integrates transparency, intelligence, and adaptability. This paper proposes a hybrid framework for smart educational governance that leverages Artificial Intelligence (AI), Blockchain, and Data-Driven Management Systems to enhance institutional accountability, efficiency, and decision-making. The AI component facilitates automated analytics for personalized learning, predictive student performance modeling, and resource optimization. The Blockchain layer ensures secure credential verification, transparent data transactions, and decentralized control over academic records, thereby eliminating corruption and data manipulation. The data-driven management module integrates heterogeneous datasets from institutional, administrative, and learner-centric sources to provide real-time governance insights through dashboards and visual analytics. This hybrid framework bridges the gap between administrative processes and educational outcomes by fostering an intelligent, tamper-proof, and responsive governance ecosystem. The study outlines the system architecture, implementation challenges, and expected benefits for policymakers, educational administrators, and technology developers. The proposed framework contributes to the emerging field of EdTech governance by offering a scalable and secure model that aligns with the principles of digital transformation, accountability, and sustainable education management..

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