2021
DOI: 10.1007/s40300-021-00200-1
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The Impact of COVID-19 on Students’ Marks: A Bayesian Hierarchical Modeling Approach

Abstract: 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 eleven science, technology, engineering, and mathematics (STEM) courses using a Bayesian linear mixed effects model fitted to longitudinal data. The Bayesian linear mixed effects model is designed for this applicatio… Show more

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Cited by 7 publications
(13 citation statements)
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“…With when request came to change the teaching method from face-to-face to distance learning, the university was well prepared for immediate transfer to the online space. Tomal et al [17] empirically measured the impact of online teaching on students' academic performance in 11 science, technology, engineering, and mathematics courses using a Bayesian linear mixed-effects model fitted to longitudinal data. They observed an increase in overall average marks in courses requiring lower-level cognitive skills (including first-year mathematics courses) according to Bloom's taxonomy of knowledge [27] and a decrease in marks in courses requiring higher-level cognitive skills (those with hands-on lab, coding, and programming components).…”
Section: Review Of Related Literaturementioning
confidence: 99%
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“…With when request came to change the teaching method from face-to-face to distance learning, the university was well prepared for immediate transfer to the online space. Tomal et al [17] empirically measured the impact of online teaching on students' academic performance in 11 science, technology, engineering, and mathematics courses using a Bayesian linear mixed-effects model fitted to longitudinal data. They observed an increase in overall average marks in courses requiring lower-level cognitive skills (including first-year mathematics courses) according to Bloom's taxonomy of knowledge [27] and a decrease in marks in courses requiring higher-level cognitive skills (those with hands-on lab, coding, and programming components).…”
Section: Review Of Related Literaturementioning
confidence: 99%
“…One might therefore expect that there would be fewer effects on academic achievement at the university level compared to the primary and secondary education levels. However, studies dealing with general COVID-19 confinement on students' performance in higher education reported both negative [12][13][14] and positive [15][16][17] effects.…”
Section: Introductionmentioning
confidence: 98%
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