Systems (Jul 2023)

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

  • Haiyan Yan,
  • Linlin Wang,
  • Jenson Goh,
  • Wuzhi Shen,
  • John Richardson,
  • Xinyue Yan

DOI
https://doi.org/10.3390/systems11070361
Journal volume & issue
Vol. 11, no. 7
p. 361

Abstract

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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.

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