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Title: An Assessment Framework for Complex Systems Understanding
Authors: Khodr, Hala
Kothiyal, Aditi
Bruno, Barbara
Dillenbourg, Pierre
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Khodr, H., Kothiyal, A., Bruno, B., & Dillenbourg, P. (2022). An assessment framework for complex systems understanding. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 99-106). International Society of the Learning Sciences.
Abstract: Complex systems understanding is crucial for understanding the sciences of the twenty-first century. Helping students with the principles of complex systems is thus both a challenge and an opportunity. In order to investigate the effectiveness of complex systems learning activities, we would like to have an assessment instrument which we can ultimately use as pre and post-test to assess the learning gain. In this paper, we developed an assessment instrument as a questionnaire containing five scenarios related to key concepts of complex systems understanding. After validating the understandability of the questions, we collected answers from 37 participants including experts as well as non-experts. We finally propose a scoring scheme based on fuzzy logic. This approach results in a general procedure which is compact, automatic and human legible to quantify expertise in complex systems concepts.
Description: Long Paper
Appears in Collections:ISLS Annual Meeting 2022

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