Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

<Previous Article In Volume
Next Article In Volume>

Leveraging Recommender Systems for Course Selection in Higher Education: A Pathway to Informed Decision-Making

Authors
Shivangini Bihari1, *, Md. Irfan Alam2
1Research Scholar, Faculty of CSE&IT, Jharkhand Rai University, Ranchi, Jharkhand, India
2Associate Professor, Faculty of CSE&IT, Jharkhand Rai University, Ranchi, Jharkhand, India
*Corresponding author. Email: shivisingh0509@gmail.com
Corresponding Author
Shivangini Bihari
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_27How to use a DOI?
Keywords
Course Selection; Elective Courses; Higher Education; Recommender Systems; Machine Learning
Abstract

Recommender systems are extensively utilized across various domains to offer users personalized item suggestions based on their preferences, helping them manage the overwhelming amount of available information. Choosing the right courses when entering a new academic level can be particularly difficult for students, as selecting inappropriate courses can impact their educational progress and future career prospects. This paper investigates the application of recommender systems in aiding students in choosing courses aligned with their skills and interests. This paper examines the scope of recommender systems that assist students in selecting elective courses. The review findings indicate that a hybrid recommendation approach/system is likely the most effective method for helping students make informed course selections to prepare for their future careers.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_27How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shivangini Bihari
AU  - Md. Irfan Alam
PY  - 2025
DA  - 2025/07/17
TI  - Leveraging Recommender Systems for Course Selection in Higher Education: A Pathway to Informed Decision-Making
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 333
EP  - 340
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_27
DO  - 10.2991/978-94-6463-787-8_27
ID  - Bihari2025
ER  -