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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Milan
2021
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| Materias: | |
| 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 |