Examining the structural relationships among e-learning interactivity, uncertainty avoidance, and perceived risks of COVID-19: Applying extended technology acceptance model
V. G. Girish, Miyoung Kim, Indira Sharma, Choong‐Ki Lee
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引用次数: 19
Abstract
ABSTRACT Although e-learning has been studied in different contexts, the intention to use e-learning during the Corona virus-19 (COVID-19) pandemic has yet to be explored. This study extends the technology acceptance model (TAM) by treating e-learning interactivity as the antecedent construct of TAM. The constructs of uncertainty avoidance and perceived risks of COVID-19 were also added to understand the attitude and behavioral intentions of students to use e-learning. Two hundred and eighty-eight students from India participated in this study and partial least squares structural equation modeling was used to analyze the data. The results revealed that e-learning offers a high level of interactivity, which influences perceived ease of use and perceived usefulness and enhances a positive attitude of the students. Perceived ease of use was directly found to influence the perceived usefulness of e-learning. Uncertainty avoidance had a positive effect on attitude and intention to use e-learning. Perceived risks of COVID-19 showed a positive and significant effect on attitude, whereas the former did not affect intention to use e-learning. Finally, attitude also influenced intention to use e-learning. Our findings provide academia with theoretical implications and practitioners with practical implications.
期刊介绍:
The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing.
It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.