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

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

The role of academic advising has been conducted by faculty-student advisors, who often have many students to advise quickly, making the process ineffective. The selection of the incorrect qualification increases the risk of dropping out, changing qualifications, or not finishing the qualification e...

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Bibliographic Details
Main Authors: Mfowabo Maphosa, Wesley Doorsamy, Babu Paul
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Algorithms
Subjects:
academic advising
engineering education
real-world datasets
classification
bias in algorithms
machine learning
Online Access:https://www.mdpi.com/1999-4893/17/2/85

Internet

https://www.mdpi.com/1999-4893/17/2/85

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