Therese Rosemann & Yannis Schumann (HSU): Digital Competences and Digital Learning Behavior in Higher Education – Generation of individualized Feedback in a Longitudinal Study (DigiTaKS* and hpc.bw)
Researchers in the educational sciences often face the challenge of recruiting sufficient study participants to produce sound results. As one incentive for participation, an interactive, web-based dashboard was developed to provide study participants with retrospective, individual learning and usage data. We present first results from the longitudinal study, highlight key elements of our learning-analytics platform and discuss how the availability of such data might affect the self-reflection process of study participants.
Sergej Grednev (HSU): Prediction of Structure-Property Relationships in Cellular Materials
A range of machine learning models is implemented and compared regarding their aptitude to predict stress-strain curves under quasi-static compressive loading for a re-entrant auxetic structure. In a follow-up study an artificial neural network is trained to predict the expected specific energy absorption during compression.