The digital revolution impacts all facets of society, including education and training. This impact is two-fold. The first impact is about how digital tools provide new opportunities for learning and teaching, in classrooms or at a distance: simulations, serious games, MOOCs, collaborative spaces, augmented and virtual reality, educational robots, etc. The second impact concerns the emergence of new skills that future citizens need to be equipped with, such as computational thinking skills, critical information appraisal or digital literacy. All levels of education are concerned, from kindergaten to lifelong learning, including corporate training. This area of research is high interdiscplinary: on the one hand education it involves sciences and cognitive sciences, i.e. how people learn and how to teach them, and on the other hand, a deep understanding of advanced technologies. For instance, the field of ‘learning analytics’ requires both a full mastery of machine learning methods and a deep understanding of where these methods actually optimize learning. Research methods combine computational modelling and empirical studies, namely testing whether or not our tools actually lead to higher learning gains.
Full Professor[email protected] RLC D1 740
Tenure Track Assistant Professor[email protected] INF 234
Adjunct Professor[email protected] ME B3 426