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...

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Detalles Bibliográficos
Autores principales: Ho, Indy Man Kit, Cheong, Kai Yuen, Weldon, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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

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