In this project we relate usage data of the already existing feedback system for progress testing, ProF, with the results that medical students obtain in these progress tests. We want to distill whether a certain type of usage of the system is related to better or worse results in the progress test. This knowledge can lead to advice to students, study advisers and academic organisations.
To be able to achieve this, we have to change the ProF system in such way that it can collect the required data. Next, data will be collected during a period of two months. During the analysis phase, techniques from data mining and statistics are applied to search for possible links between usage patterns and results. Finally, the patterns and models found will be translated, whenever possible, into practical advises. Follow-up projects will be needed to further investigate how these patterns can be visualized interactively to students and teachers.
The project team consists of: Jeroen Donkers, Arno Muijtjens, Jean van Berlo, Daniëlle Verstegen, Robert Peperkamp, Guido Tans, Bill Wrigley, Eric Sol, and Peter Bex.
A screenshot of the Prof system.
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