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Online Learning Management for Primary and Secondary Students during the COVID-19 Epidemic: An Evolutionary Game Theory Approach

Author

Listed:
  • Dayin Li

    (Faculty of Education, East China Normal University, No. 3663, Zhongshan North Road, Putuo District, Shanghai 200062, China)

  • Yubiao Wang

    (Faculty of Education, East China Normal University, No. 3663, Zhongshan North Road, Putuo District, Shanghai 200062, China)

Abstract

The purpose of this study is to explore the management of primary and secondary school students’ online learning during the COVID-19 pandemic and to analyze the impact of stakeholders’ behavioral choices on students’ online learning management. Based on evolutionary game theory, this paper constructs two-game models of "schools-students" and “schools-students-parents”, analyzes the influence of the behavioral interaction of game subjects on the game equilibrium in the two scenarios, and uses MATLAB 2018 software to carry out the numerical simulation. The results show significant differences in different game players’ strategy choices on students’ online learning management. Among them, the benefits brought by learning are the main factors affecting students’ strategic choices. Although the participation of parents has a positive effect on promoting students’ game strategy selection towards cooperation, there is a participation boundary to the involvement of parents. The school’s choice of punishment or reward has no significant effect on students’ online learning management. Compared with schools, punishments and rewards from parents have a substantial impact on promoting students’ strategic choices towards cooperation.

Suggested Citation

  • Dayin Li & Yubiao Wang, 2022. "Online Learning Management for Primary and Secondary Students during the COVID-19 Epidemic: An Evolutionary Game Theory Approach," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12416-:d:929252
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    References listed on IDEAS

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    4. Fernando Ferri & Patrizia Grifoni & Tiziana Guzzo, 2020. "Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations," Societies, MDPI, vol. 10(4), pages 1-18, November.
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
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    Cited by:

    1. Xiaoxu Yang & Yuming Liu & Kai Liu & Guangzhong Hu & Xi Zhao, 2022. "Research on Promotion and Application Strategy of Electric Equipment in Plateau Railway Tunnel Based on Evolutionary Game," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    2. Chao Liu & Hexin Wang & Yu Dai, 2023. "Sustainable Cooperation between Schools, Enterprises, and Government: An Evolutionary Game Theory Analysis," Sustainability, MDPI, vol. 15(18), pages 1-12, September.

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