连续性
结构方程建模
心理学
2019年冠状病毒病(COVID-19)
在线学习
计算机辅助网络访谈
大流行
应用心理学
社会心理学
计算机科学
统计
多媒体
医学
疾病
机器学习
传染病(医学专业)
数学
病理
作者
Tai Ming Wut,Helen Wong,Carmen Sum
标识
DOI:10.1080/02188791.2022.2051696
摘要
This study aims to determine the continuance use intention of using the current online learning systems. After COVID-19, many online learning systems are available. There is a need to evaluate the performance of existing online learning system. "Confirmation of expectation", "Perceived usefulness" and "Satisfaction on existing system" were hypothesized to influence students' intention to continuously use an online system in our conceptual model. The measurement scales of these constructs were adopted from the expectation-confirmation model (ECM) and measured on a seven-point scale. A total of 146 valid samples were collected from undergraduate students through an online survey about usage of online learning system. Partial least squares structural equation model was used. An online learning system continuance use intention model was proposed. It was found that 'Satisfaction on existing online system is a mediator between the "Confirmation of expectation" and "Continuance Use intention". Importance–performance analysis was performed. This study projected an understanding of the continuance use intention of an online learning systems during the COVID-19 pandemic.
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