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Examining Factors That Influence Learner Retention in MOOCs During the COVID-19 Pandemic Time

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  • Zhonggen Yu
  • Liheng Yu

Abstract

Massive Open Online Courses have become a frequent platform for learners to acquire knowledge. This study aims to explore multiple factors influencing learner retention in MOOCs during the COVID-19 pandemic. To address this, we collected quantitative and qualitative data from questionnaires and qualitative data from interviews and then analyzed them through the Partial Least Square–Structural Equation Modeling to test 14 research hypotheses. The proposed research model and research hypotheses are empirically tested with 243 participants across the world. According to the results, support is found for all of the 14 research hypotheses. We confirmed 14 factors influencing learner retention in MOOCs. The result is beneficial for designers and manufacturers of MOOCs to improve the quality of the products and facilitate online or blended learning during this special time. It could also help students improve their learning experiences. Future research could examine influencing factors of learner retention in MOOCs with interdisciplinary cooperation.

Suggested Citation

  • Zhonggen Yu & Liheng Yu, 2023. "Examining Factors That Influence Learner Retention in MOOCs During the COVID-19 Pandemic Time," SAGE Open, , vol. 13(2), pages 21582440231, May.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231175371
    DOI: 10.1177/21582440231175371
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    References listed on IDEAS

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    1. María José Sosa-Díaz & María Rosa Fernández-Sánchez, 2020. "Massive Open Online Courses (MOOC) within the Framework of International Developmental Cooperation as a Strategy to Achieve Sustainable Development Goals," Sustainability, MDPI, vol. 12(23), pages 1-23, December.
    2. Ibrahim Youssef Alyoussef, 2021. "Massive Open Online Course (MOOCs) Acceptance: The Role of Task-Technology Fit (TTF) for Higher Education Sustainability," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
    3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    4. Dabao Zhang, 2017. "A Coefficient of Determination for Generalized Linear Models," The American Statistician, Taylor & Francis Journals, vol. 71(4), pages 310-316, October.
    5. Dalibor Gonda & Viliam Ďuriš & Gabriela Pavlovičová & Anna Tirpáková, 2020. "Analysis of Factors Influencing Students’ Access to Mathematics Education in the Form of MOOC," Mathematics, MDPI, vol. 8(8), pages 1-12, July.
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    Cited by:

    1. Yongye Meng & Wei Xu & Ziqing Liu & Zhong-Gen Yu, 2024. "Scientometric analyses of digital inequity in education: problems and solutions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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