KI & Data Literacy Workshop in Heidelberg, Germany
In November 2022, the TrainDL team from the Freie Universität Berlin conducted a 2.5-day training session for computer science in-service teachers in Heidelberg, Germany. The workshop took place in the Hotel ISG, began on Friday evening, and ended on Sunday afternoon after partaking in presentations, an exhibition visit and numerous hands-on activities on AI and data literacy.
In order to participate in the workshop, interested teachers had to take part in an online application procedure. To apply, they needed to outline why the workshop interests them and what experience they have already had with AI and data literacy in computer science classes. 27 computer science teachers from Germany, Austria, and Switzerland expressed their interest, out of whom 24 were admitted to the workshop. In the end, 19 teachers participated in the training.
The days started off with an introduction to AI and Data Literacy in Computer Science Education with an integrated lecture given by Prof. Dr. Ralf Romeike: "What students can learn about artificial intelligence - recommendations for K12 computing education?”. The teachers were introduced to data science using unplugged methods, the data lifecycle and exploratory data analysis. The case study “Reduce oil consumption by raising prices. Does that really help?” allowed them to learn about AI methods.
Another highlight of the training session were two expert presentations and a subsequent exchange with them: Alexander Henndorf, Strategic Management Consulting for Data Science for KOENIGSWEG, held the presentation: “AI and Data Science: Contextualization and Big Picture.” Polina Molosova, Data Scientist at SAP, shared her experiences of being a data scientist in the presentation: “Data Science is for Everyone: AI and Data Science Hands-On: From Data Science Everyday Life.”
Next on the agenda was a visit to the exhibition "I AM AI". There, they could design and implement a data project and were involved in the evaluation and analysis of the data and the subsequent presentation of the results. While visiting the exhibition, the participants had to keep and evaluate a data diary that helped them to document which data is generated by which activities.
They also participated in the Open Space, where the teachers could present their approaches to the introduction of data and AI literacy in schools and worked with playgrounds for AI & Data Science and platforms with datasets like Jupiter Notebooks, Orange3, Teachable Machine, Kaggle and huggingface.
At the end of the session, the team and participants established a community of Practice – a network of teachers interested in the topic of data and AI literacy. Everyone interested may join the mailing list WorkshopDLHeidelberg2022@lists.fu-berlin.de.
