Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work

Using traces of behaviors to predict outcomes is useful in varied contexts ranging from buyer behaviors to behaviors collected from smart-home devices. Increasingly, higher education systems have been using Learning Management System (LMS) digital data to capture and understand students’ learning an...

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Detalles Bibliográficos
Autores principales: Arizmendi, Cara J., Bernacki, Matthew L., Raković, Mladen, Plumley, Robert D., Urban, Christopher J., Panter, A. T., Greene, Jeffrey A., Gates, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556130/
https://www.ncbi.nlm.nih.gov/pubmed/36018483
http://dx.doi.org/10.3758/s13428-022-01939-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556130/
https://www.ncbi.nlm.nih.gov/pubmed/36018483
http://dx.doi.org/10.3758/s13428-022-01939-9

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