Franz Jetzinger

Franz Jetzinger is a researcher at the Professorship for Computer Science Education (Lehrstuhl für Informatikdidaktik) at the Technical University of Munich (TUM), working under the direction of Prof. Dr. Tilman Michaeli. He is based at Marsstr. 20-22(2907)/IV, 80335 Munich, with his office in room 2907.04.446. Jetzinger teaches courses in the Computer Science Education program, including "digi4all - Kompetenzen für das Unterrichten in einer digitalen Welt" and "Übung zur Didaktik der Informatik" for both winter and summer semesters of 2024/25 and 2025.

His research focuses on several key areas within computer science education, with particular emphasis on Artificial Intelligence and Machine Learning education for K-12 settings. He has developed and delivered professional development programs for computer science teachers, especially regarding AI integration into compulsory computer science classrooms. His work spans teacher training, curriculum development, and practical implementation strategies for bringing AI education to secondary school levels.

Jetzinger's publications reveal a strong focus on AI education in K-12 settings, with multiple publications in 2023-2025 addressing scalable professional development for teachers and evidence-based approaches to teaching AI. His work also includes substantial contributions to German computer science textbooks for Bavarian high schools, covering topics from object-oriented modeling to AI education.

• Developed professional development programs for AI education
• Contributed to multiple computer science textbooks for Bavarian high schools
• Conducted research on debugging processes in learning environments
• Participated in the TRR419 SHARP research project
• Worked on the "Von Bits zu QuBits" quantum computing education initiative

Through his work with the Bavarian Ministry of Education and various workshops, Jetzinger has been instrumental in implementing AI education across Bavarian schools, delivering numerous training sessions throughout 2024 and 2025 on both basic and advanced AI topics for teachers.