Improving Academic Advising in Engineering Education with Machine Learning Using a Real-World Dataset

Maphosa, M., Doorsamy, W. orcid.org/0000-0001-9043-9882 and Paul, B. (2024) Improving Academic Advising in Engineering Education with Machine Learning Using a Real-World Dataset. Algorithms, 17 (2). 85. ISSN 1999-4893

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: academic advising; engineering education; real-world datasets; classification; bias in algorithms; machine learning; predicting student performance
Dates:
  • Published: February 2024
  • Published (online): 18 February 2024
  • Accepted: 16 February 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 May 2024 14:25
Last Modified: 10 Dec 2024 09:08
Status: Published
Publisher: MDPI
Identification Number: 10.3390/a17020085
Open Archives Initiative ID (OAI ID):

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