Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9195
Title: Reflection on Collaborative Action: Fostering Collaborative Diagnostic Reasoning in an Agent-Based Medical Simulation
Authors: Richters, Constanze
Stadler, Matthias
Brandl, Laura
Schmidmaier, Ralf
Fischer, Martin R.
Fischer, Frank
Keywords: CSCL
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Richters, C., Stadler, M., Brandl, L., Schmidmaier, R., Fischer, M. R., & Fischer, F. (2023). Reflection on collaborative action: Fostering collaborative diagnostic reasoning in an agent-based medical simulation. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.), Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 209-212). International Society of the Learning Sciences.
Abstract: Externally guided reflection on collaborative action is promising to foster collaborative diagnostic reasoning (CDR) for interdisciplinary practice. The interplay between the degree of external structure in reflection and learners’ prior knowledge seems crucial for its effectiveness. In this study, we investigated the effects of low- and high-structured reflection on the learning of CDR in an agent-based medical simulation, depending on prior knowledge. We randomly assigned 195 medical students to one of three conditions: low-structured, high-structured, or no reflection support. We found positive effects of low-structured reflection on the learning of CDR for learners with low prior knowledge. For learners with high prior knowledge, both levels of structure seemed inappropriate. This study helps to individualize reflection support and lays the foundation for further empirical research on the effects of differently structured reflection as a function of prior knowledge.
Description: Short Paper
URI: https://doi.org/10.22318/cscl2023.596913
https://repository.isls.org//handle/1/9195
Appears in Collections:ISLS Annual Meeting 2023

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