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This podcast examines the transformative potential of Artificial Intelligence (AI) in education, focusing on the concept of AI as both a self-learning entity and an effective teacher.

It explains core technologies like Reinforcement Learning (RL) and Self-Supervised Learning (SSL) that enable AI to learn autonomously, alongside methods for knowledge storage using vector databases and knowledge graphs.

Furthermore, it discuss the design of adaptive tutoring systems and interactive learning interfaces, outlining how AI can personalise education and engage students. Finally, they explore the future impact of AI in education, considering both its benefits and challenges, including ethics, data privacy, and the evolving role of human teachers.