Ten simple rules for supporting a temporary online pivot in higher education

Nordmann, E. , Horlin, C. , Hutchison, J., Murray, J.-A. , Robson, L., Seery, M. K. and MacKay, J. R.D. (2020) Ten simple rules for supporting a temporary online pivot in higher education. PLoS Computational Biology, 16(10), e1008242. (doi: 10.1371/journal.pcbi.1008242) (PMID:33001990) (PMCID:PMC7529278)

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As continued COVID-19 disruption looks likely across the world, perhaps until 2021, contingency plans are evolving in case of further disruption in the 2020–2021 academic year. This includes delivering face-to-face programs fully online for at least part of the upcoming academic year for new and continuing cohorts. This temporary pivot will necessitate distance teaching and learning across almost every conceivable pedagogy, from fundamental degrees to professionally accredited ones. Each institution, program, and course will have its own myriad of individualized needs; however, there is a common question that unites us all: how do we provide teaching and assessment to students in a manner that is accessible, fair, equitable, and provides the best learning whilst acknowledging the temporary nature of the pivot? No “one size fits all” solution exists, and many of the choices that need to be made will be far from simple; however, this paper provides a starting point and basic principles to facilitate discussions taking place around the globe by balancing what we know from the pedagogy of online learning with the practicalities imposed by this crisis and any future crises.

Item Type:Articles (Editorial)
Glasgow Author(s) Enlighten ID:Nordmann, Dr Emily and Murray, Professor Jo-Anne and Horlin, Dr Chiara
Authors: Nordmann, E., Horlin, C., Hutchison, J., Murray, J.-A., Robson, L., Seery, M. K., and MacKay, J. R.D.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
College of Science and Engineering > School of Psychology
Journal Name:PLoS Computational Biology
Publisher:Public Library of Science
ISSN (Online):1553-7358
Copyright Holders:Copyright © 2020 Nordmann et al.
First Published:First published in PLoS Computational Biology 16(10): e1008242
Publisher Policy:Reproduced under a Creative Commons License

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