Lizi Zhu
ABSTRACT
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.
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Index Terms
- An Augmented Machine Learning-Based Course Enrollment Recommender System
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