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What is Adaptive Learning Recommendation System about?

This thesis presents a recommendation system for adaptive learning developed by Chunxi Tan, focusing on personalized educational strategies using reinforcement learning. It introduces two adaptive recommendation strategies: one that maximizes learning efficiency through early stopping and another that incorporates curiosity to enhance the learning experience. The research aims to bridge adaptive learning with advancements in deep reinforcement learning, demonstrating the effectiveness of these methods throu

Author

fatma setyaningsih

Language

EN