Systematic Review of Recommendation Systems for Course Selection

Course recommender systems play an increasingly pivotal role in the educational landscape, driving personalization and informed decision-making for students. However, these face significant challenges, including managing a large dynamic decision space addressing cold start problem new This article endeavors to provide comprehensive review background fully understand recent research on course their impact learning. We present detailed summary of empirical data supporting use strategic planning. examined case studies conducted over previous six years (2017–2022), with focus 35 key selected from 1938 academic papers found using CADIMA tool. systematic literature (SLR) assesses various system methodologies used suggest selection tracks, aiming determine most effective evidence-based approach.