We are cooperating with the team of Rescuemation to offer a unique topic for a student research project. Students will have the opportunity to perform an academic experiment utilizing a software prototype that trains novice medical personnel through virtual patient cases. The central question is: What kind of feedback actually helps learners get better at diagnosing? After working through a simulated emergency, participants receive one of four types of feedback. The simplest just reveals the correct diagnosis. The others go further: a guideline-based model solution, a step-by-step review of their own actions, or detailed AI-generated feedback on what they did. A second case of the same illness, presented in a different way, then shows how much of that learning carries over. You can find more information on the topic in this newspost: Research Project: Which Feedback Works When Training Medical Diagnosis?Research Project (M.Sc.)
Winter Term 2026/2027
Which Feedback Works? Comparing Feedback Formats for the Acquisition of Illness Scripts in a Virtual Patient Simulation
Application
Prerequisites
Procedure
Topics from previous semesters
(after confirmation by the chair)
Date:
flexible
Date:
TBA
Date:
TBA
Date:
TBA
Via:
StudIP
Date:
TBA
Date:
TBA
Via:
StudIP
Word und Zotero Templates
Further information on the course can be found in eCampus.