Zhao, X. orcid.org/0000-0002-8968-6912, Kung, M. and Cai, L. (2021) How instructors initially viewed teaching online in higher education in the UK during the COVID-19 pandemic. In: Pang, C., Gao, Y., Chen, G., Popescu, E., Chen, L., Hao, T., Zhang, B., Navarro, S.M.B. and Li, Q., (eds.) Learning Technologies and Systems: 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020, Ningbo, China, October 22–24, 2020, Proceedings. 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020, 22-24 Oct 2020, Ningbo, China. Lecture Notes in Computer Science, LNISA 12511 . Springer Cham , pp. 277-286. ISBN 9783030669058
Abstract
Learning and teaching in higher education institutions around the world have been heavily affected by the outbreak of COVID-19 since the fall of 2019. Teachers were suddenly told to convert their classes online and to be prepared to teach virtually. An online focus group (n = 9) was conducted during the initial period of lockdown in the UK at the end of March 2020 to find out about their teaching experiences of transition into online education. A number of challenges were identified in both synchronous and asynchronous teaching processes, including unfamiliarity with the learning management system, privacy concerns, student engagement, preparation time and technological issues. A set of best practices was developed for instructors teaching online during the COVID-19 pandemic.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2021 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Learning Technologies and Systems, Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Online teaching; COVID-19 pandemic; Educational technology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 Oct 2023 12:31 |
Last Modified: | 31 Oct 2023 12:31 |
Status: | Published |
Publisher: | Springer Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-66906-5_26 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204748 |