The Impact of COVID-19 on Students’ Marks: A Bayesian Hierarchical Modeling Approach

Due to COVID-19, universities across Canada were forced to undergo a transition from classroom-based face-to-face learning and invigilated assessments to online-based learning and non-invigilated assessments. This study attempts to empirically measure the impact of COVID-19 on students’ marks from e...

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Detalles Bibliográficos
Autores principales: Tomal, Jabed, Rahmati, Saeed, Boroushaki, Shirin, Jin, Lingling, Ahmed, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887420/
https://www.ncbi.nlm.nih.gov/pubmed/33612860
http://dx.doi.org/10.1007/s40300-021-00200-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887420/
https://www.ncbi.nlm.nih.gov/pubmed/33612860
http://dx.doi.org/10.1007/s40300-021-00200-1

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