AI in schools

Fabian Graap works as a lecturer in computer science didactics at the Friedrich Schiller University in Jena. After studying mathematics and computer science for a grammar school teaching post, he did his doctorate on learning opportunities in computer and computer science exhibitions. He came to AI education because the travelling exhibition "I AM A.I - Artificial Intelligence Explained", developed by IMAGINARY, was on display in Jena in the winter of 2022/23. Since 2020, he has been working with IMAGINARY on the online course "AI Explorables for School" to make some elements from the exhibition accessible to teachers.

Prof. Dr. Mandy Schiefner-Rohs is a university professor for general education with a focus on school education at the TU Kaiserslautern. Her research focuses on the interface of media and (high) school pedagogical issues with a focus on the transformation of schools and universities as well as pedagogical professionalism in a culture of digitality.

She is a reviewer for various (inter)national journals (including Journal of Technology and Teacher Education, Research in Learning Technology, Zeitschrift für Erziehungswissenschaft, Die Deutsche Schule, Zeitschrift für Bildungsforschung, Zeitschrift für Medienpädagogik) as well as a reviewer for the Federal Ministry of Education and Research, the Rectors' Conference of the Swiss Universities, the Austrian Federal Ministry of Science, Research and Economy, the Volkswagen Foundation, the German National Academic Foundation and the DAAD, among others.

Andreas Daniel Matt is the director of IMAGINARY, a non-profit organisation for the communication of modern mathematics. He holds a PhD in Machine Learning (Reinforcement Learning) from the Universidad de Buenos Aires and the University of Innsbruck and has 18 years of experience in interactive and participatory knowledge transfer. He worked at the Mathematical Research Institute Oberwolfach from 2007 to 2016 and co-founded IMAGINARY. His work has been awarded the Media Prize of the German Mathematical Society 2013 and the ECSITE Mariano Gago Award 2020, among others.

Professor Kristina Kögler heads the Department of Vocational, Business and Technical Education at the University of Stuttgart. Her research focuses on the dynamics and conditioning factors of vocational learning and experience processes and their outcomes, as well as quality issues in virtual and hybrid learning settings. Kristina Kögler is on the board of the Vocational and Business Education Section of the German Society for Educational Science and editor of the series Empirische Berufsbildungsforschung published by Steiner Verlag.

Ute Schmid is Professor of Applied Computer Science, in particular Cognitive Systems. She has been teaching and researching knowledge-based methods of AI and machine learning for more than 15 years. She is internationally visible in the field of human-like machine learning and is currently researching explanation generation and the use of explanations in interactive learning. Ute Schmid also has experience in the development of intelligent tutoring systems and in the use of analogue examples in the context of knowledge and skill acquisition. In addition to a degree in computer science, she also holds a degree in psychology and has many years of experience in empirical research.