Investigating Students’ Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model

被引:0
作者
Xusen Cheng
Ying Bao
Bo Yang
Sihua Chen
Yiting Zuo
Mikko Siponen
机构
[1] Renmin University of China,School of Information
[2] China University of Petroleum,School of Economics and Management
[3] Jiangxi University of Finance and Economics,School of Information Management
[4] University of Jyväskylä,Faculty of Information Technology
来源
Group Decision and Negotiation | 2023年 / 32卷
关键词
Satisfaction; Online collaborative learning; COVID-19; Expectation-confirmation model;
D O I
暂无
中图分类号
学科分类号
摘要
The recent outbreak of COVID-19 posed discontinuous disruption to traditional learning modes worldwide. In order to keep social distance, online collaborative learning has become a necessity during the pandemic. However, our understanding of students’ well-being and satisfaction with online collaborative learning is limited, especially during the COVID-19 period. Leveraging expectation confirmation theory, this study focuses on the triggers and inhibitors of students’ cognitive load during online collaborative learning process and their subsequent satisfaction with the learning mode during the pandemic. We used a mixed-method approach in this study. We conducted a qualitative study with interview data and a quantitative study with surveys. The results indicate several psychological and cognitive antecedents of students’ cognitive load during online collaborative learning. Findings also indicate that a high level of cognitive load will decrease students’ perceived usefulness of the online learning platform and expectation confirmation, thus leading to a low level of satisfaction with online collaborative learning. This study can provide theoretical and practical implications for a better understanding of online student groups’ satisfaction with online collaborative learning during the COVID-19 period.
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页码:749 / 778
页数:29
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