Human Learning

Human learning research seeks to understand how humans acquire knowledge and skills, focusing on how different learning theories can be reconciled and integrated into computational models. Current research emphasizes the development of agent-based models, incorporating elements of variation theory, rate-distortion theory, and curriculum learning to optimize active learning and improve the efficiency of AI-based tutoring systems. This work has implications for designing more effective educational tools and human-AI collaborative systems, improving learning outcomes and fostering more natural human-computer interactions.