Sebastian Becker-Genschow

Sebastian Becker-Genschow is a W2 Professor for Digital Education with a Focus on Artificial Intelligence at the University of Cologne, Faculty of Mathematics and Natural Sciences, Department of Mathematics and Science Education. Appointed as Professor for Digital Education in January 2022 and formally appointed as W2 Professor on July 15, 2023, he serves as Head of the Research Area Digital Education. Since April 2023, he has coordinated the BMBF joint project ComeMINT and is actively involved in advancing digital competencies in teacher training.

• University of Cologne, Faculty of Mathematics and Natural Sciences
• Department of Mathematics and Science Education
• Institute for Physics Education
• Coordinator of BMBF joint project ComeMINT (since 2023)

Becker-Genschow's research focuses on the digitization of teaching and learning processes, particularly through learning process analysis using eye tracking and artificial intelligence. His work bridges physics education with digital innovation, exploring how AI can transform educational practices. He investigates video analysis in physics education, adaptive learning environments, and the development of digital competencies for teachers, with particular emphasis on AI integration in natural sciences education. His research has significant implications for modernizing teacher training programs and creating more effective learning environments that leverage cutting-edge technology.

His publication record demonstrates a clear trajectory toward AI in education, with recent work focusing on AI custom chatbots, adaptive learning in bionics, and AI-supported data analysis. The research shows a strong emphasis on practical applications that boost student motivation while reducing cognitive stress. His work with the DiKoLAN and DiKoLANKI frameworks represents significant contributions to establishing competency models for teaching with and about AI in science education.

His scientific recognition includes:

• Prize of the Society for Chemistry and Physics Education (GDCP) for an outstanding dissertation (2021)
• Award of the academic doctorate 'Dr. rer. nat.' with distinction (2020)

Becker-Genschow actively collaborates with various researchers and institutions, particularly through the ComeMINT project. His work on digital competencies frameworks has led to significant publications and resources for teacher training in natural sciences. He has contributed to systematic reviews examining multiple external representations in STEM education and the application of eye-tracking technology in educational contexts.

His team focuses on developing practical tools and frameworks for integrating AI into science education, with particular attention to creating sustainable models for teacher development. The DiKoLANKI framework represents a comprehensive approach to building competencies for teaching with and about AI in natural sciences, providing both theoretical foundations and practical implementation strategies.