Using machine learning to predict factors affecting academic performance: the case of college students on academic probation

This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college student...

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Detalles Bibliográficos
Autores principales: Al-Alawi, Lamees, Al Shaqsi, Jamil, Tarhini, Ali, Al-Busaidi, Adil S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999331/
https://www.ncbi.nlm.nih.gov/pubmed/37361752
http://dx.doi.org/10.1007/s10639-023-11700-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999331/
https://www.ncbi.nlm.nih.gov/pubmed/37361752
http://dx.doi.org/10.1007/s10639-023-11700-0

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