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Article

Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China

1
School of Management, Shanghai University of International Business and Economics, Shanghai 201620, China
2
Institute of Ecology and Sustainable Development, Shanghai Academy of Social Sciences, Shanghai 200020, China
3
Engineering Cluster, Singapore Institute of Technology, Singapore 138683, Singapore
4
Department of Social Sciences, University of Bergen, 5020 Bergen, Norway
5
School of International Service, American University, Washington, DC 20016, USA
6
School of Management, Fudan University, Shanghai 200433, China
*
Authors to whom correspondence should be addressed.
Systems 2023, 11(7), 361; https://doi.org/10.3390/systems11070361
Submission received: 25 May 2023 / Revised: 12 July 2023 / Accepted: 13 July 2023 / Published: 16 July 2023

Abstract

Given the growing importance of system dynamics (SD) in solving increasingly complex and dynamic problems in any country, we believe SD education will become an imperative leverage point in helping us deal with our uncertain future. This study tries to understand the causal relationships in proliferating SD education by a system dynamics group modelling approach in China. Based on a questionnaire survey and a group model building (GMB) workshop, we aim to explore the interactions of feedback loops in the constructed causal loop diagram (CLD). This uncovers insights into what constitutes the growth of SD education in China and helps to guide the design and implementation of policies to achieve this growth. We conclude that it is important and relevant to find ways to improve, including the construction of an SD teaching platform to integrate normative resources, providing opportunities for teacher training, enhancing the availability and accessibility of SD education, and building networks with international partners. The results of our study may set the foundation for further research to extend the generalizability of our insights and methodological approaches to other countries.
Keywords: causal loop diagram; group model building; system dynamics education; questionnaire survey causal loop diagram; group model building; system dynamics education; questionnaire survey

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MDPI and ACS Style

Yan, H.; Wang, L.; Goh, J.; Shen, W.; Richardson, J.; Yan, X. Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China. Systems 2023, 11, 361. https://doi.org/10.3390/systems11070361

AMA Style

Yan H, Wang L, Goh J, Shen W, Richardson J, Yan X. Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China. Systems. 2023; 11(7):361. https://doi.org/10.3390/systems11070361

Chicago/Turabian Style

Yan, Haiyan, Linlin Wang, Jenson Goh, Wuzhi Shen, John Richardson, and Xinyue Yan. 2023. "Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China" Systems 11, no. 7: 361. https://doi.org/10.3390/systems11070361

APA Style

Yan, H., Wang, L., Goh, J., Shen, W., Richardson, J., & Yan, X. (2023). Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China. Systems, 11(7), 361. https://doi.org/10.3390/systems11070361

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