Students’ Online Learning Adoption during an Emergency Situation: Integrating the Self-Determination and Perceived Risk Theories

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Sheng‐Ju Chan, Thi Xuan Nong, T. Nguyen
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引用次数: 0

Abstract

By integrating self-determination theory and perceived risk theory, the current research proposes a new model to predict students’ online learning adoption during an emergency situation such as the COVID-19 pandemic. More specifically, it is aimed at exploring how online communication self-efficacy, online learning belonging, and perceived risk predict students’ online learning adoption. A printed questionnaire was developed to collect data from 487 Vietnamese students using a quota sampling method. After missing data and outliers were removed, 450 questionnaires were found to be usable for data analysis. SMARTPLS version 3.2.2 was employed to analyze PLS-SEM and test the proposed hypotheses. The study found that online communication self-efficacy and perceived risk both have direct effects on students’ online learning adoption as well as indirect effects through the partial mediating role of online learning belonging. Our study also explored that perceived risk does not play a moderation in the association between online learning belonging and students’ online learning adoption. These findings fill important gaps in the literature and provide some implications for academicians, governments, educators, and parents in fostering students’ adoption of online learning.
紧急情况下学生的在线学习采用情况:整合自我决定理论和感知风险理论
通过整合自我决定理论和感知风险理论,本研究提出了一个新模型来预测学生在 COVID-19 大流行等紧急情况下的在线学习采用情况。更具体地说,本研究旨在探讨在线交流自我效能感、在线学习归属感和感知风险如何预测学生的在线学习采用情况。研究采用配额抽样法,向 487 名越南学生收集数据,并编制了一份印刷问卷。在剔除缺失数据和异常值后,发现有 450 份问卷可用于数据分析。采用 SMARTPLS 3.2.2 版进行 PLS-SEM 分析,并对提出的假设进行检验。研究发现,在线交流自我效能感和感知风险都对学生的在线学习采纳有直接影响,并通过在线学习归属感的部分中介作用产生间接影响。我们的研究还发现,感知风险在在线学习归属感与学生在线学习采纳之间并不起到调节作用。这些发现填补了文献中的重要空白,并为学术界、政府、教育工作者和家长在促进学生采用在线学习方面提供了一些启示。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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