Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/8913
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 |
URI: | https://dx.doi.org/10.22318/icls2022.99 https://repository.isls.org//handle/1/8913 |
Appears in Collections: | ISLS Annual Meeting 2022 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
ICLS2022_99-106.pdf | 416.08 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.