Investigating user satisfaction of university online learning courses during the COVID-19 epidemic period
Investigating user satisfaction of university online learning courses during the COVID-19 epidemic period
Online learning has been expanding for some time but the forced move to it due to the outbreak of COVID-19 has created new issues. This study set out to investigate the impact mechanism of online learning user satisfaction from the perspective of cognitive load in the era of COVID-19 and explore ways to optimize cognitive load in teaching practice. Semi-structured interviews were conducted for the empirical analysis. The coding process of the interviews yielded several antecedents of cognitive load in the online learning process. We also proposed a theoretical model based on the literature review and data analysis. Findings of the qualitative analysis indicate that the antecedents of cognitive load are multi-dimensional and the user's satisfaction with the online learning platform mainly consists of the expected confirmation of the information system and the perceived usefulness. These findings can help us think backward about optimizing user satisfaction with online learning in the context of COVID-19 breakout.
COVID-19, university online learning, online learning, student satisfaction, user satisfaction
10125/70751
1139–1148
Hawaii International Conference on System Sciences
Zuo, Yiting
49e7d24a-788d-478d-ad00-88be34610bc6
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Bao, Ying
98520294-3686-4d4c-87de-50d646507227
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
5 January 2021
Zuo, Yiting
49e7d24a-788d-478d-ad00-88be34610bc6
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Bao, Ying
98520294-3686-4d4c-87de-50d646507227
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Zuo, Yiting, Cheng, Xusen, Bao, Ying and Zarifis, Alex
(2021)
Investigating user satisfaction of university online learning courses during the COVID-19 epidemic period.
Bui, Tung X.
(ed.)
In Proceedings of the 54th Hawaii International Conference on System Sciences.
Hawaii International Conference on System Sciences.
.
(10125/70751).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Online learning has been expanding for some time but the forced move to it due to the outbreak of COVID-19 has created new issues. This study set out to investigate the impact mechanism of online learning user satisfaction from the perspective of cognitive load in the era of COVID-19 and explore ways to optimize cognitive load in teaching practice. Semi-structured interviews were conducted for the empirical analysis. The coding process of the interviews yielded several antecedents of cognitive load in the online learning process. We also proposed a theoretical model based on the literature review and data analysis. Findings of the qualitative analysis indicate that the antecedents of cognitive load are multi-dimensional and the user's satisfaction with the online learning platform mainly consists of the expected confirmation of the information system and the perceived usefulness. These findings can help us think backward about optimizing user satisfaction with online learning in the context of COVID-19 breakout.
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Investigating user satisfaction of university online learning courses during the COVID-19 epidemic period 0113
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Published date: 5 January 2021
Keywords:
COVID-19, university online learning, online learning, student satisfaction, user satisfaction
Identifiers
Local EPrints ID: 490213
URI: http://eprints.soton.ac.uk/id/eprint/490213
DOI: 10125/70751
ISSN: 2572-6862
PURE UUID: ffae0a8a-58e1-47d1-aea6-de7ba118a47e
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Date deposited: 20 May 2024 16:43
Last modified: 06 Jun 2024 02:21
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Contributors
Author:
Yiting Zuo
Author:
Xusen Cheng
Author:
Ying Bao
Author:
Alex Zarifis
Editor:
Tung X. Bui
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