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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| 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 |