Using machine learning to predict low academic performance at a Nigerian university

This study evaluates the ability of various machine-learning techniques to predict low academic performance among Nigerian tertiary students. Using data collected from undergraduate student records at Niger Delta University in Bayelsa State, the research applies the cross-industry standard process...

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Bibliographic Details
Main Authors: Ebiemi Allen Ekubo, Bukohwo Michael Esiefarienrhe
Format: Article
Language:English
Published: LINK Centre, School of Literature Language and Media (SLLM) 2022-12-01
Series:The African Journal of Information and Communication
Online Access:https://ajic.wits.ac.za/article/view/14839