An Augmented Machine Learning-Based Course Enrollment Recommender System

Higher education has been undergoing a transformation in many aspects such as course reorganization and technology adoption. Many universities keep updating their curriculum to account for changes. This, however, poses a great challenge to both students and advisors. This paper proposes a new approach to course recommender system that takes into consideration the contextual information such as students demographics and courses description.