Using Archetypes to Teach Systems Thinking in an Engineering Master’s Course

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Abstract

Systems Thinking can help to solve complex problems in different domains. For an engineering master’s program, we designed a seminar course to teach Systems Thinking. For the seminar we use qualitative models known as archetypes as conceptual models and the Covid-19 pandemic as problem context. In this paper we describe the course design and report findings from running it. Based on students’ evaluation and the materials they produced throughout the course, our findings (1) support our design assumptions regarding student motivation, (2) give hints on students’ struggling with Systems Thinking and understanding and applying archetypes in particular. With this we want to contribute to the discussion of how to teach Systems Thinking in Higher Education.

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Tilebein, M., Wunderlich, J., & Tenberg, R. (2022). Using Archetypes to Teach Systems Thinking in an Engineering Master’s Course. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13789 LNCS, pp. 645–652). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25312-6_76

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