Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics

Student attrition poses a major challenge to academic institutions, funding bodies and students. With the rise of Big Data and predictive analytics, a growing body of work in higher education research has demonstrated the feasibility of predicting student dropout from readily available macro-level (...

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Detalles Bibliográficos
Autores principales: Matz, Sandra C., Bukow, Christina S., Peters, Heinrich, Deacons, Christine, Dinu, Alice, Stachl, Clemens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082180/
https://www.ncbi.nlm.nih.gov/pubmed/37029155
http://dx.doi.org/10.1038/s41598-023-32484-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082180/
https://www.ncbi.nlm.nih.gov/pubmed/37029155
http://dx.doi.org/10.1038/s41598-023-32484-w

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