Tilman Michaeli

Prof. Dr. Tilman Michaeli is a Professor of Computer Science Education at the Technical University of Munich (TUM), affiliated with the TUM School of Social Sciences and Technology. His academic career includes a doctorate from Friedrich-Alexander University of Erlangen-Nuremberg (2020) and prior research roles at Erlangen and the Free University of Berlin under Prof. Ralf Romeike. He leads the Professorship for Computer Science Education, focusing on didactics, debugging pedagogy, AI/ML literacy, quantum computing education, and digital education transformation.

Education Background: Studied Computer Science Teaching at FAU until 2017, completed state examinations, and earned his doctorate in 2020. Appointed to TUM in 2021.

Research Interests: Prioritizes empirical and design-based research in computing education. Key areas include debugging strategies in classrooms, AI literacy for K-12, collaborative programming, and integrating quantum computing into curricula. His work emphasizes practical, student-centered approaches.

Publications: Over 50 peer-reviewed articles since 2017, focusing on educational technology, teacher training, and curriculum development. Notable works include studies on debugging frameworks, MOOCs for AI literacy, and quantum computing in schools.

Grants & Awards: Recipient of the 2019 Doctoral Award from the German Informatics Society for contributions to computer science didactics. Active in securing research grants for projects like DigiProMIN and the AI Training Initiative.

Teaching: Leads courses such as Didactics of Computer Science 1/2 and Theoretical Computer Science for Vocational Education. Supervises advanced seminars and doctoral candidates.

Teams: Directs a research group including employees like Sven Baumer, Luisa Gebhardt, and Heike Wachter, focusing on collaborative projects like InstaClone and Smerge tools.