Enhancing Timely Graduations: An Explainable AI Approach to Predict Academic Risks in South African Students-Reference-Cited by-同舟云学术

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Enhancing Timely Graduations: An Explainable AI Approach to Predict Academic Risks in South African Students

Published:2023-11-16 Issue: Volume:10 Page:1-7
ISSN:
Container-title:2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Bokgoshi Lenny¹,Sixhaxa Khanyisile¹,Jadhav Ashwini²,Nyamane Seipati³,Ajoodha Ritesh¹

Affiliation:

1. School of Computer Science and Applied Mathematics, University of Witwatersrand,Johannesburg,South Africa

2. University of Witwatersrand,Science Teaching and Learning Unit Faculty of Science,Johannesburg,South Africa

3. Sol Plaatje University,Department of Computer Science and Information Technology,Kimberley,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389177/10389181/10389444.pdf?arnumber=10389444

Reference32 articles.

1. Predicting Academic Outcomes: A Survey from 2007 Till 2018

2. Relating psychological and social factors to academic performance: A longitudinal investigation of high-poverty middle school students

3. Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs

4. Modelling, prediction and classification of student academic performance using artificial neural networks

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