PASSt – Predictive Analytics Services for Study success management

Universities are continuously striving to understand and quantify their students’ study success. In this context, the PASSt project – Predictive Analytics Services für Studienerfolgsmanagement – seeks to develop a framework for the empirical analysis and prediction of student success. To this end, student and study data is imported into a generic data structure, to which machine learning and simulation are then applied. This framework produces two key results – a forecast of study success and a structural analysis of curricula – which can be used to improve study conditions for students. In addition, the framework offers an intuitive summarising visualisation tool that allows for easy interpretation and use of the results for curricular planning.