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Bayesian Hierarchical Modelling of Student Academic Performance: The Impact of Mathematics Competency, Institutional Context, and Temporal Variability

This study explores the multifaceted factors influencing academic performance among undergraduate students enrolled in Science, Technology, Engineering, and Mathematics (STEM) programs at a South African university. Employing a Bayesian hierarchical modelling approach, this research analyses data fr...

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Principais autores: Moeketsi Mosia, Felix O. Egara, Fadip A. Nannim, Moses Basitere
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-02-01
Serier:Education Sciences
Fag:
academic performance
Bayesian hierarchical modelling
educational interventions
gender differences
socio-economic status
STEM education
Online adgang:https://www.mdpi.com/2227-7102/15/2/177
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