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Article

Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective

1
Institute of Education, Xiamen University, Xiamen 361005, China
2
College of Science and Technology, Ningbo University, Ningbo 315300, China
3
Department of Computer Science and Engineering, National Taiwan Ocean University, Keenlung 202301, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Osman Titrek
Sustainability 2021, 13(8), 4586; https://doi.org/10.3390/su13084586
Received: 21 March 2021 / Revised: 11 April 2021 / Accepted: 15 April 2021 / Published: 20 April 2021
The prevalence of COVID-19 has changed traditional teaching modes. For many teachers, online learning effectively compensated for the absence of traditional face-to-face instruction. Online learning can support students and schools and can create unique opportunities under emergency management. Educational institutions in various countries have launched large-scale online course modes in response to the pandemic. Additionally, online learning during a pandemic differs from traditional online learning modes. Through surveying students in higher education institutions, educational reform under emergency management can be explored. Therefore, university students were surveyed to investigate their continuance intention regarding online learning during the pandemic. Expectation confirmation theory was extended using the task-technology fit model to ascertain whether the technical support of promoting online learning helped student’s complete course learning tasks during the pandemic and spawned a continuance intention to use online learning in the future. Data were collected through online questionnaires. A total of 854 valid responses were collected, and partial least squares structural equation modeling was employed to verify the research hypotheses. The results revealed that the overall research framework largely explained continuance intention. Concrete suggestions are proposed for higher education institutions to promote online learning modes and methods after the COVID-19 pandemic. View Full-Text
Keywords: COVID-19; expectation confirmation model; online learning; task-technology fit COVID-19; expectation confirmation model; online learning; task-technology fit
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MDPI and ACS Style

Wang, T.; Lin, C.-L.; Su, Y.-S. Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective. Sustainability 2021, 13, 4586. https://doi.org/10.3390/su13084586

AMA Style

Wang T, Lin C-L, Su Y-S. Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective. Sustainability. 2021; 13(8):4586. https://doi.org/10.3390/su13084586

Chicago/Turabian Style

Wang, Ting, Chien-Liang Lin, and Yu-Sheng Su. 2021. "Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective" Sustainability 13, no. 8: 4586. https://doi.org/10.3390/su13084586

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