Areas of work/research

As part of the AI research group, Niklas Stausberg leverages current developments in artificial intelligence and data analytics to investigate cognitive processes and social dynamics in the context of physics teaching and learning. His research focuses on the integration of technology into traditional learning environments, the impact of adaptive feedback on learning processes, and the mechanisms of social interaction in classrooms. In addition, Niklas Stausberg is involved in projects aimed at advancing teacher education by fostering practical AI competencies and embedding agile methodologies into educational practices.

Short biography

Niklas Stausberg first studied Earth Sciences at the University of Freiburg im Breisgau and the University of Utrecht before earning his doctorate in 2017 working at the intersection of material sciences and geology at the University of Aarhus and the University of California, Davis. Subsequently, he continued to work as a research associate in Aarhus before transferring to a high school environment in 2019 as a Physics and Chemistry teacher, first in Denmark, later in North Rhine-Westphalia, Germany. During this time, he also obtained the second state examination for gymnasium and comprehensive schools. Since the fall of 2023, he has been working as a postdoctoral researcher in physics education at LMU Munich.