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Factors Influencing Parents’ Intention on Primary School Students’ Choices of Online Learning during and after the COVID-19 Pandemic in China

Author

Listed:
  • Cunqi Han

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

  • Liqun Liu

    (National Institute of Cultural Development, Wuhan University, Wuhan 430072, China
    Center for Studies of Media Development, Wuhan University, Wuhan 430072, China)

  • Siyu Chen

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

Abstract

Since the COVID-19 outbreak, online learning has become the norm. Primary school students require parental assistance and supervision due to their lack of digital media capabilities and safety concerns. This study uses the mixed research method to process and analyze the interview data of 10 primary school parents and 564 questionnaire data using topic coding and partial least squares structural equation model (PLS-SEM) to explore the factors influencing primary school parents’ choice of online learning and the mechanism of these factors on choice intention. The results show that online learning continuity and learning attitude development risk are two new variables affecting parents’ cognition of online learning. They have a significant positive impact on performance evaluation and risk perception. Perceived ease of use, performance evaluation, and perceived cost affect parents’ assessment of their children’s satisfaction with online learning during the pandemic. Parents’ satisfaction with online learning positively affects their intention to choose online learning. The results of this study can provide a reference for education departments and schools on how to carry out online teaching with higher quality in case of emergencies.

Suggested Citation

  • Cunqi Han & Liqun Liu & Siyu Chen, 2022. "Factors Influencing Parents’ Intention on Primary School Students’ Choices of Online Learning during and after the COVID-19 Pandemic in China," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8269-:d:856917
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    References listed on IDEAS

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    4. Zoe Kanetaki & Constantinos Stergiou & Georgios Bekas & Sébastien Jacques & Christos Troussas & Cleo Sgouropoulou & Abdeldjalil Ouahabi, 2022. "Grade Prediction Modeling in Hybrid Learning Environments for Sustainable Engineering Education," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
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