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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...
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| Veröffentlicht in: | Metron |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer Milan
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7887420/ https://ncbi.nlm.nih.gov/pubmed/33612860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40300-021-00200-1 |
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