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Explore the promises and limitations of intelligent tutoring systems in this lecture from MIT's Learning, Media, and Technology course. Examine how the MOOC revolution initially aimed to transform education through accessible, data-driven learning platforms but ultimately encountered significant challenges in delivering truly personalized educational experiences. Analyze the technical and pedagogical obstacles that have prevented intelligent tutoring systems from achieving their transformative potential, including issues with adaptive learning algorithms, student modeling, and the complexity of human learning processes. Investigate the gap between the theoretical capabilities of AI-driven educational technology and the practical realities of implementation in diverse learning contexts. Consider the broader implications for educational technology development and the ongoing efforts to create more effective personalized learning environments.
