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Analysis of the Current Situation of the Research on the Influencing Factors of Online Learning Behavior and Suggestions for Teaching Improvement

Author

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  • Zhigang Li

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Yi Liu

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

With the rapid development in online education and the recurrence of COVID-19 around the world, people have temporarily turned to online education. To identify influencing factors of online learning behavior and improve online education, this study used CiteSpace to visually analyze research on influencing factors of online learning behavior on WoS. It discusses the research status, hotspots, and trends. Then, through cluster analysis and literature interpretation, the paper summarizes the types of online learning behavior and the influencing factors of different online learning behaviors from positive and negative dimensions. The findings of this paper are as follows. (1) The number of studies on the influencing factors of online learning behavior has increased in the last decade, especially after the outbreak of COVID-19. The research countries and institutions in this field lack contact and cooperation. (2) Online learning behaviors mainly include online learning engagement behavior, continuous behavior, procrastination behavior, and truancy behavior. (3) Online learning engagement behavior is mainly affected by perceived usefulness, perceived ease of use, individual characteristic differences, and other factors. (4) Online learning continuous behavior is mainly affected by quality, perceived usefulness, learning self-efficacy, and other factors. (5) The influencing factors of online learning procrastination mainly include learning environment, individual characteristics, social support, and pressure. (6) The main influencing factors of online learning truancy behavior are social interaction, participation, and learner control. At the end of this paper, according to the action mode of the influencing factors of online learning behavior, some suggestions for teaching improvement are put forward from the two perspectives of promoting positive online learning behavior and avoiding negative online learning behavior, which can provide a reference for teachers and schools in the future when conducting online education.

Suggested Citation

  • Zhigang Li & Yi Liu, 2023. "Analysis of the Current Situation of the Research on the Influencing Factors of Online Learning Behavior and Suggestions for Teaching Improvement," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2119-:d:1044418
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    References listed on IDEAS

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    1. Haiyan Guo & Zhigang Li, 2022. "An Analysis of the Learning Effects and Differences of College Students Using English Vocabulary APP," Sustainability, MDPI, vol. 14(15), pages 1-12, July.
    2. Yefeng Lu & Xiaocui Hong & Longhai Xiao, 2022. "Toward High-Quality Adult Online Learning: A Systematic Review of Empirical Studies," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    3. Nabil Hasan Al-Kumaim & Abdulsalam K. Alhazmi & Fathey Mohammed & Nadhmi A. Gazem & Muhammad Salman Shabbir & Yousef Fazea, 2021. "Exploring the Impact of the COVID-19 Pandemic on University Students’ Learning Life: An Integrated Conceptual Motivational Model for Sustainable and Healthy Online Learning," Sustainability, MDPI, vol. 13(5), pages 1-20, February.
    4. Yunlong Niu & Mastura Adam & Hazreena Hussein, 2022. "Connecting Urban Green Spaces with Children: A Scientometric Analysis Using CiteSpace," Land, MDPI, vol. 11(8), pages 1-23, August.
    5. Yuqing Geng & Mukasar Maimaituerxun, 2022. "Research Progress of Green Marketing in Sustainable Consumption based on CiteSpace Analysis," SAGE Open, , vol. 12(3), pages 21582440221, August.
    6. Maqableh, Mahmoud & Alia, Mohammad, 2021. "Evaluation online learning of undergraduate students under lockdown amidst COVID-19 Pandemic: The online learning experience and students’ satisfaction," Children and Youth Services Review, Elsevier, vol. 128(C).
    7. Omar A. Alismaiel, 2021. "Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
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    Cited by:

    1. Biao Gao, 2023. "A uses and gratifications approach to examining users’ continuance intention towards smart mobile learning," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Yi Liu & Zhigang Li, 2023. "International Research Review and Teaching Improvement Measures of College Students’ Learning Psychology under the Background of COVID-19," Sustainability, MDPI, vol. 15(9), pages 1-15, May.

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