Ira Diethelm, University of Oldenburg, Germany
"Digital Education and Informatics - You can't have One without the Other"
Short Biography Ira Diethelm is professor for informatics education at the Carl von Ossietzky University of Oldenburg, in north-western Germany since 2008. She started her career as a teacher for maths, chemistry and informatics in 2001 and received her PhD at University of Kassel in 2007. She is now part of the board of the German Informatics Society (Gesellschaft für Informatik) and involved in many intitatives to establish compulsory informatics education for all children.
Matti Tedre, University of Eastern Finland, Finland
Abstract Machine learning (ML) has triggered major changes across a great number of computing fields. People's lives today are full of ML-driven services: eerily accurate recommendations, ability to automatically tag one's friends in photos, and well working translation systems, for example. This talk presents how ML technology upends the CT consensus in computing education. It first presents why and how a number of classical "CT1.0" concepts need to be re-thought for the "CT2.0" (machine learning) era -- from control structures and problem-solving workflow, to correctness and notional machines. Based on a series of classroom interventions on teaching machine learning to middle schoolers, the talk also presents how classroom pedagogy shifts between CT1.0 and CT2.0.
Short Biography Matti Tedre is a Professor in the School of Computing at the University of Eastern Finland. He is currently interested in the philosophy of computer science, computing's disciplinary ways of thinking and practicing, and how children's data agency develops as they learn how to create their own machine learning models. The first two were summarized in his two most recent books "The Science of Computing" (Taylor & Francis / CRC Press, 2014) and "Computational Thinking" (MIT Press, 2019, with PJ Denning).