DFG FOR 2385

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Funding phase 2

CoSiMed - Facilitating cooperative medical diagnosing competencies: The effects of the adaptation of scaffolding to the professional knowledge base of the collaboration partners


PhD Candidates

Project duration

2020 - 2023

Project description

In the second phase of the project, we will use the current data sets from TP6 and TP5 to investigate the extent to which the correlations between the explanatory factors of diagnostic quality in collaborative diagnostics apply across contexts and studies. In addition to hypothesis-testing structural equation models, methods of learning analytics for the explorative identification of patterns and dependencies in process data will be applied. Finally, the second and third study will use (quasi-) experimental designs to investigate the influence of the adaptation of the examined scaffolds to the strategic and conceptual knowledge of the own discipline of the learner and to the strategic and conceptual meta-knowledge about the discipline of the collaboration partner (professional knowledge base) on the promotion of collaborative diagnostic competencies. For this purpose, 128 medical students will be recruited between the 4th and 11th or 4th and 6th semester.

Publications in Journals

  • Brandl, L., Richters, C., Radkowitsch, A., Obersteiner, A., Fischer, M.-R., Schmidmaier, R., Fischer, F., & Stadler, M. (2021). Simulation-Based Learning of Complex Skills: Predicting Performance With Theoretically Derived Process Features. Psychological Test and Assessment Modeling, 63(4), 542-560. https://www.psychologie-aktuell.com/fileadmin/Redaktion/Journale/ptam-2021-4/PTAM__4-2021_6_kor.pdf
  • Radkowitsch, A., Fischer, M. R., Schmidmaier, R., & Fischer, F. (2020). Learning to diagnose collaboratively: validating a simulation for medical students. GMS Journal for Medical Education, 37(5).