Course Recommendation

Course recommendation systems aim to personalize the learning experience by suggesting relevant courses to students, addressing challenges like the vast number of options and diverse learning needs. Current research focuses on integrating large language models (LLMs) with knowledge graphs and other techniques like collaborative and content-based filtering, often enhanced by reinforcement learning or genetic algorithms, to improve recommendation accuracy and explainability. These advancements hold significant potential for enhancing educational accessibility and effectiveness by providing tailored learning pathways and supporting informed student decision-making.