Franz Walgenbach

Franz Walgenbach serves as a Lecturer at Saarland University based at the Saarland Informatics Campus (Campus E1 3, Room 324, Saarbrücken), specializing in Computer Science Teacher Training for secondary school level 1. He is actively involved in the GeLb-DIng project and leads curriculum development for the computer science teacher training program launched in winter 2022/2023, with current focus on designing AI training modules for Saarland's computer science teachers.

His research centers on Computer Science Education with emphasis on Artificial Intelligence integration in pedagogy, evidenced by his 2020 work on decision tree applications for student data analysis and teaching module design. Teaching portfolio spans foundational computer science topics including Programming, Algorithms, Data Structures, and Formal Languages, all contextualized for teacher education.

Walgenbach's scholarly output demonstrates consistent focus on machine learning applications in educational settings, particularly translating complex AI concepts like decision trees into teachable modules for secondary educators. His recent publications reflect growing emphasis on AI curriculum development within German teacher training frameworks.

No scientific awards are documented in available sources.

While extensively involved in course instruction since 2016 – including tutor roles in Programming and Statistics Labs through 2022 and lecturer positions since 2023 – no graduate student advising or research grants are specified in current records.

He actively contributes to the GeLb-DIng project and shapes the university's computer science teacher training ecosystem, currently developing AI-focused professional development for practicing teachers across Saarland.