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Factors Influencing Students’ Continuance Usage Intention with Virtual Classroom during the COVID-19 Pandemic: An Empirical Study

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  • Xin Huang

    (School of Journalism and Communication, Wuhan University, Wuhan 430072, China)

  • Hui Zhi

    (School of Journalism and Communication, Wuhan University, Wuhan 430072, China)

Abstract

The constant variation of COVID-19 has intensified the spread and recurrence of the epidemic, and education continues to be hard hit in most countries. The virtual classroom has become the main platform to replace the traditional classroom in the COVID-19 pandemic context. Due to the lack of a comprehensive understanding of college students’ perceptions of the platform system, it is essential to explore the factors and mechanisms that influence students’ willingness to use virtual classrooms consistently to improve the learning efficiency and optimize the effect of educational communication during the epidemic. This study integrates the Delone and McLean (D&M) information systems (IS) success model, expectation–confirmation model (ECM), and instructor quality factor to construct an operational model, and it used a structural equation model to analyze the 411 valid samples received from online questionnaires. The results reveal that the determinants of college students’ perceived usefulness of virtual classrooms are service quality, instructor quality, and confirmation, while system quality has no effect on perceived usefulness in the context of the COVID-19 pandemic. Secondly, system quality, service quality, and instructor quality are three critical antecedents of confirmation, and perceived usefulness and confirmation positively affect satisfaction. Finally, perceived usefulness and satisfaction directly affect college students’ continuance intention.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4420-:d:1085150
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    References listed on IDEAS

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    1. Choi, Goya & Nam, Changi & Kim, Seongcheol, 2019. "The impacts of technology platform openness on application developers’ intention to continuously use a platform: From an ecosystem perspective," Telecommunications Policy, Elsevier, vol. 43(2), pages 140-153.
    2. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    3. Eun-Jung Kim & Jinkyung Jenny Kim & Sang-Ho Han, 2021. "Understanding Student Acceptance of Online Learning Systems in Higher Education: Application of Social Psychology Theories with Consideration of User Innovativeness," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    4. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    5. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    6. Carlos Tam & Diogo Santos & Tiago Oliveira, 2020. "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model," Information Systems Frontiers, Springer, vol. 22(1), pages 243-257, February.
    7. Priyanka Gupta & Sanjeev Prashar & T. Sai Vijay & Chandan Parsad, 2021. "Examining the influence of antecedents of continuous intention to use an informational app: the role of perceived usefulness and perceived ease of use," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 36(2), pages 270-287.
    8. Shichao Pang & Peng Bao & Wenyuan Hao & Jaewoong Kim & Wei Gu, 2020. "Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    9. 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.
    10. Yu-Ping Lee & Hsin-Yeh Tsai & Athapol Ruangkanjanases, 2020. "The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
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