Abstract
This chapter explores the transformative potential of integrating blockchain and artificial intelligence (AI) technologies within educational data analytics. It begins by examining blockchain’s capacity to enhance data security, streamline record-keeping, and ensure transparent credential verification. Concurrently, it analyzes AI’s role in enabling adaptive learning, predictive modeling, and insightful data analysis to improve student outcomes and optimize educational strategies. The chapter further evaluates the synergistic benefits of combining blockchain and AI, proposing a robust framework to address prevalent challenges in the education sector, including data privacy, security, and personalized learning. By securing student records through blockchain’s immutability and enhancing personalized learning experiences via AI-driven analytics, the chapter presents a comprehensive approach to modernizing educational systems. Additionally, it addresses technical challenges such as scalability and interoperability, alongside ethical considerations like data privacy, consent, and algorithmic bias. The chapter concludes with a call for collaborative efforts among educators, technologists, and policymakers to leverage these technologies, navigate their challenges, and fully realize their potential in revolutionizing education.
