Transferring learning dashboards to new contexts: experiences from three case studies

This papers focuses on the use of learning dashboards in higher education to foster self-regulated learning and open education. Students in higher education have to evolve to independent and lifelong learners. Actionable feedback during learning that evokes critical self-reflection, helps to set learning goals, and strengthens self-regulation...

Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot

This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used to train the frameworks. The training data contains information obtained from one user over a period of approximately 3 to 30 days. This work is applied to the LEA robot: an...

Characterizing data ecosystems to support official statistics with open mapping data for reporting on sustainable development goals

Reporting on the Sustainable Development Goals (SDGs) is complex given the wide variety of governmental and NGO actors involved in development projects as well as the increased number of targets and indicators. However, data on the wide variety of indicators must be collected regularly, in a robust manner, comparable across but also within...

Remarks on learning hybrid Bayesian networks from data for medical research

In this thesis, we learn the structure of a hybrid Bayesian network (mixed continuous and discrete) for a small data set and learn the parameters. We segment the learning process in distinct steps and evaluate the possible options for each step. After a short introduction into the theory of Bayesian networks, we cover the topics: data...