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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Detalhes bibliográficos

Principais autores:	Moeketsi Mosia, Felix O. Egara, Fadip A. Nannim, Moses Basitere
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-02-01
coleção:	Education Sciences
Assuntos:	academic performance Bayesian hierarchical modelling educational interventions gender differences socio-economic status STEM education
Acesso em linha:	https://www.mdpi.com/2227-7102/15/2/177
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