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

Author

Listed:
  • Ting Wang

    (Institute of Education, Xiamen University, Xiamen 361005, China
    College of Science and Technology, Ningbo University, Ningbo 315300, China)

  • Chien-Liang Lin

    (College of Science and Technology, Ningbo University, Ningbo 315300, China)

  • Yu-Sheng Su

    (Department of Computer Science and Engineering, National Taiwan Ocean University, Keenlung 202301, Taiwan)

Abstract

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.

Suggested Citation

  • Ting Wang & Chien-Liang Lin & Yu-Sheng Su, 2021. "Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4586-:d:539810
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    References listed on IDEAS

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    Cited by:

    1. Renjie Song & Yaru Zheng, 2024. "Predicting Continuance Intention to Use Learning Management Systems among Undergraduates: The Moderating Effect of Intrinsic Motivation," SAGE Open, , vol. 14(3), pages 21582440241, August.
    2. Liqian Gao & Ziyang Liu, 2023. "Research on the Sustainable Development Strategy of Online Learning: A Case Study of YouTube Users," Sustainability, MDPI, vol. 15(11), pages 1-14, May.
    3. Pawinee Iamtrakul & Sararad Chayphong & Adrian Yat Wai Lo, 2022. "Exploring the Contribution of Social and Economic Status Factors (SES) to the Development of Learning Cities (LC)," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    4. Yogi Tri Prasetyo & Ardvin Kester S. Ong & Giero Krissianne Frances Concepcion & Francheska Mikaela B. Navata & Raphael Andrei V. Robles & Isaiash Jeremy T. Tomagos & Michael Nayat Young & John Franci, 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    5. Maria Kathryne A. Illescas & Ardvin Kester S. Ong & Josephine D. German, 2023. "Online or Traditional Learning at the Near End of the Pandemic: Assessment of Students’ Intentions to Pursue Online Learning in the Philippines," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    6. Chunyu Li & Thanawan Phongsatha, 2022. "Satisfaction and continuance intention of blended learning from perspective of junior high school students in the directly-entering-socialism ethnic communities of China," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-16, December.
    7. Xin Huang & Hui Zhi, 2023. "Factors Influencing Students’ Continuance Usage Intention with Virtual Classroom during the COVID-19 Pandemic: An Empirical Study," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    8. Li Li, 2024. "What are the Key Drivers to Promote Continuance Intention of Undergraduates in Mobile Learning? A Multi-perspective Framework," SAGE Open, , vol. 14(4), pages 21582440241, October.
    9. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Kate Nicole M. Tayao & Klint Allen Mariñas & Irene Dyah Ayuwati & Reny Nadlifatin & Satria Fadil Persada, 2022. "Socio-Economic Factors Affecting Member’s Satisfaction towards National Health Insurance: An Evidence from the Philippines," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    10. Karla Soria-Barreto & Sofia Ruiz-Campo & Ahmad Samed Al-Adwan & Sergio Zuniga-Jara, 2021. "University Students Intention to Continue Using Online Learning Tools and Technologies: An International Comparison," Sustainability, MDPI, vol. 13(24), pages 1-23, December.
    11. Hongzhu Long & Jiangting Liu, 2025. "Understanding the Impact of Interaction Elements on MOOCs Continuance Intention Among Undergraduates: An Extended Expectation Confirmation Model," SAGE Open, , vol. 15(2), pages 21582440251, June.

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