A Machine Learning-based Course Enrollment Recommender System

Xiwei Wang, Longyin Cui, Muhammad Bangash, Mohammad Bilal, Luis Rosales, Wali Chaudhry

2022

Abstract

As an integral component of human society, higher education has been undergoing a transformation in multiple aspects, such as administrative reorganization, pedagogical reform, and technological innovation. To line up with the latest trends, many institutions constantly update their curriculum, which poses challenges to students and their advisors. This paper proposes a machine learning-based course enrollment recommender system that aims to make personalized suggestions to students who expect to take classes in the upcoming semester. Using matrix factorization as the core algorithm, the model exploits several available types of information, including student course enrollment history and other contextual features, such as prerequisite restrictions, course meeting times, instructional methods, and course instructors. The system not only helps students but also facilitates their advisors’ work. Our experimental results show that the recommended courses were highly relevant while providing plenty of options to students.

Paper Citation

in Harvard Style

Wang X., Cui L., Bangash M., Bilal M., Rosales L. and Chaudhry W. (2022). A Machine Learning-based Course Enrollment Recommender System. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-562-3, pages 436-443. DOI: 10.5220/0011109100003182

in Bibtex Style

@conference{csedu22,
author={Xiwei Wang and Longyin Cui and Muhammad Bangash and Mohammad Bilal and Luis Rosales and Wali Chaudhry},
title={A Machine Learning-based Course Enrollment Recommender System},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2022},
pages={436-443},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011109100003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - A Machine Learning-based Course Enrollment Recommender System
SN - 978-989-758-562-3
AU - Wang X.
AU - Cui L.
AU - Bangash M.
AU - Bilal M.
AU - Rosales L.
AU - Chaudhry W.
PY - 2022
SP - 436
EP - 443
DO - 10.5220/0011109100003182