Concept Recommendation

Concept recommendation aims to suggest relevant learning materials to users, improving educational experiences and personalized learning pathways. Current research focuses on leveraging large language models and heterogeneous information networks to represent complex relationships between users, concepts, and learning resources, often employing graph neural networks and contrastive learning to enhance recommendation accuracy. These advancements are improving the effectiveness of educational platforms like MOOCs by providing more targeted and effective learning recommendations, ultimately leading to better learning outcomes.