Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/8270
Title: | Making the Rich Even Richer? Interaction of Structured Reflection With Prior Knowledge in Collaborative Medical Simulations |
Authors: | Richters, Constanze Stadler, Matthias Radkowitsch, Anika Behrmann, Felix Weidenbusch, Marc Fischer, Martin R. Schmidmaier, Ralf Fischer, Frank |
Keywords: | CSCL |
Issue Date: | 2022 |
Publisher: | International Society of the Learning Sciences |
Citation: | Richters, C., Stadler, M., Radkowitsch, A., Behrmann, F., Weidenbusch, M., Fischer, M. R., Schmidmaier, R., & Fischer, F. (2022). Making the rich even richer? Interaction of structured reflection with prior knowledge in collaborative medical simulations. In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 155-162). International Society of the Learning Sciences. |
Abstract: | Collaborative diagnostic reasoning refers to knowledge and skills involved in complex individual and collaborative activities with which medical students and physicians often struggle. This study examined the effects of structured reflection and collaboration scripts on collaborative diagnostic reasoning in medical students depending on their prior knowledge level. 151 advanced medical students were asked to diagnose patients with the help of an agent- based radiologist. In the meantime, students received either collaboration scripts, reflection prompts, or both, or no instructional support. The results showed that structured reflection with and without collaboration scripts enhances the collaborative diagnostic skills only of learners with high prior knowledge. These findings cast doubts on the generally positive effects of structured reflection for learning with simulations put forward by prior research. |
Description: | Long Paper |
URI: | https://doi.dx.org/10.22318/cscl2022.155 https://repository.isls.org//handle/1/8270 |
Appears in Collections: | ISLS Annual Meeting 2022 |
Files in This Item:
File | Size | Format | |
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CSCL2022_155-162.pdf | 463.76 kB | Adobe PDF | View/Open |
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