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Publication Detail
COVID19 : Online not distant – student’s feedback on a blended approach of teaching MSc medical statistics to UCL Queen Square Institute of Neurology
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Publication Type:Conference presentation
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Publication Sub Type:Presentation
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Authors:Islam A, Ahmed S, Palmeiro Y, Cozzi-Lepri A, Akasaki M, Greiner R, Valencia C, Khanom M, Blundred D
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Date:14/04/2021
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Status:Published online
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Name of Conference:UCL Education Conference 2021
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Conference place:Virtual
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Conference start date:14/04/2021
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Conference finish date:14/04/2021
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Language:English
Abstract
COVID-19 has challenged learning and teaching (L&T) activities worldwide. During Term 1 (Sept-Dec) 2020-2021, we ran the “Research Methods and Introduction to Statistics” module online, facing challenges related to lecture delivery and teaching statistical software. As a response, a blended approach (pre-recorded lectures, slides and live session, instant response to the student queries) was adopted, including weekly student feedback surveys.
On average, we received 8 responses each week (n=66/120). After statistical analyses, we found that overall feedback improved weekly (Figure 1). Students valued live question and answer sessions. This feedback was reviewed weekly and assisted tutors to improve teaching in their subsequent sessions.
Although the weekly response rate was low, the overall evaluation of this blended approach for teaching medical statistics was highly satisfactory. Weekly feedback is absolutely necessary to improve L&T activities. It helped improve tutors’ capability of teaching and if distance learning ordinance remains we would consider repeating a similar approach in the upcoming year(s).
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