Wuppertaler Bildungsökonomin Schneider wird Mitglied des erweiterten RWI-Vorstands
Wuppertaler Bildungsökonomin Schneider wird Mitglied des erweiterten RWI-Vorstands
In the BMBF-funded project FragSte, an early warning system for predicting impending dropouts was developed in 2017 until 2020. With FragSte, potential university dropouts are detected with the help of process data and machine learning methods. Students can be reached with automated feedback and the impact of feedback on dropouts can be tested. Accurate predictions are already possible and students at risk of dropping out can be offered help - but not before the middle of the second semester. Thus, interventions are only possible within the second exam period. Intervention successes will thus only be possible in the exam phase at the end of the third semester. This is too late. On the one hand, many students at risk of dropping out will have already left the university by then, and those who remain will have lost a lot of time. Another finding of the first project phase is that low-threshold information interventions for students at risk of dropping out are not effective. In the second funding period, FragSte will be further developed by integrating the approach and support services into teaching as well. In FragSte 2, three subprojects are planned:
To answer these questions, in addition to the administrative data used so far at the universities, the registration behavior for exams and the learning behavior on learning platforms will be evaluated. Furthermore, a randomized experiment will test the effect of self-assessments with and without feedback as well as offers by teachers. The results will also be used to further sharpen dropout predictions and to classify dropouts more precisely. So far, dropouts have been considered as a binary variable. This means that mock students who do not pursue a degree are counted as dropouts in the same way as students with subject-specific deficits. However, as long as the proportion of mock students is not known, neither the need for action nor the effectiveness of existing measures can be adequately assessed.
ongoing
2021 until 2024
FragSte, FragSte 2, drop-outs, course of studies, first semester, drop-out, monitoring, intervention
Kerstin Schneider (project lead)
Simon Görtz (project lead)
Johannes Berens (contact person)
J. Leandro Henao
Axel Schomaker
Franz Westermaier