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Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
Despite the wide adoption of emergency remote learning (ERL) in higher education during the COVID-19 pandemic, there is insufficient understanding of influencing factors predicting student satisfaction for this novel learning environment in crisis. The present study investigated important predictors...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018673/ https://www.ncbi.nlm.nih.gov/pubmed/33798204 http://dx.doi.org/10.1371/journal.pone.0249423 |