IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12416-d929252.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12416/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/19/12416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng Guo & Junwu Wang & Denghui Liu & Yinghui Song, 2021. "Evolutionary Process of Promoting Construction Safety Education to Avoid Construction Safety Accidents in China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    2. Weiwei Liu & Jianing Yang, 2018. "The Evolutionary Game Theoretic Analysis for Sustainable Cooperation Relationship of Collaborative Innovation Network in Strategic Emerging Industries," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    3. 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.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Lipowski, Adam & Ferreira, António L., 2005. "A model of student's dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 539-546.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jie Hou & Baizhou Li, 2020. "The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    2. Tuochen Li & Xinyu Zhou, 2022. "Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata," IJERPH, MDPI, vol. 19(5), pages 1-25, March.
    3. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    4. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    5. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    6. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    7. Jialu Li & Meiying Yang & Wei Xing & Xuan Zhao, 2018. "Information Acquisition Behavior: An Evolutionary Game Theory Perspective," Dynamic Games and Applications, Springer, vol. 8(2), pages 434-455, June.
    8. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    9. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    10. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.
    11. Hopkins, Ed, 1999. "Learning, Matching, and Aggregation," Games and Economic Behavior, Elsevier, vol. 26(1), pages 79-110, January.
    12. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    13. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    14. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    15. Dohyo Jeong & Dohyeong Kim & Heba Mohiuddin & Seokmin Kang & Sungyeun Kim, 2023. "Regional Disparity in the Educational Impact of COVID-19: A Spatial Difference-in-Difference Approach," Sustainability, MDPI, vol. 15(16), pages 1-13, August.
    16. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.
    17. Jinxiu Pi & Hui Yang & Yadong Shu & Chongyi Zhong & Guanghui Yang, 2020. "The Stability of Two-Community Replicator Dynamics with Discrete Multi-Delays," Mathematics, MDPI, vol. 8(12), pages 1-17, November.
    18. Guanqiao Pan & Hongchao Jiang & Qianhui Jin & Tianyi Zhao & Jiajun Wang & Li Wang, 2021. "Study on the Sharing Transportation Based on Game Theory," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    19. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    20. Xiongwei Quan & Gaoshan Zuo & Helin Sun, 2022. "Risk Perception Thresholds and Their Impact on the Behavior of Nearby Residents in Waste to Energy Project Conflict: An Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(9), pages 1-20, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12416-:d:929252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.