Course Recommender System

Course recommender systems aim to personalize the learning experience by suggesting relevant educational resources, primarily focusing on Massive Open Online Courses (MOOCs). Current research emphasizes incorporating job market demands and learner goals into recommendations, often utilizing collaborative filtering, knowledge graphs, and large language models (LLMs) to improve accuracy and explainability. These systems are being developed to address challenges like the "cold start" problem and data sparsity, with a growing focus on creating transparent and user-friendly interfaces that enhance the effectiveness of online learning. The ultimate goal is to improve student outcomes and learning efficiency through more effective and personalized course recommendations.