The Chair of Learning Analytics and Educational Data Mining focuses on teaching and learning with digital technologies. Our research centres on learning processes and the adaptability of digital technologies.

In the context of technology-enhanced learning, we investigate personalisation strategies within simulation-based learning, as well as the optimal motivational design of learning environments through gamification.

In the context of technology-enhanced teaching, we investigate which contextual factors and technology-related skills determine the use of digital technologies in various educational contexts (schools and higher education institutions).

A particular focus of our research is on the field of AI in education and the question of what potential and challenges AI presents for the education sector.