Cooperation with data science/AI projects
With the CAMMP-project, we maintain an exchange of content and
- contributions from ProDabi members at the CAMMP-Week from 11-16.06.2022 in Belgium
- contributions from ProDabi members at the IAMIT-Workshop from 21-24.03.2023 in Karlsruhe
- joint publication of issue 244 of teaching mathematics on the topic of AI in mathematics education (to be published in 2024)
- planning of a joint symposium "First International Symposium on Connecting Disciplines in K-12 AI and Data Science Education" at the Paris Lordon University Salzburg from 24-27.02.2025 in Austria
Cooperation with educational institutions
- There is a cooperation with the district governments of Arnsberg, Detmold and Münster for the joint development and implementation of teacher training for computer science.
- In cooperation with the Gymnasium Theodorianum the project course on data science content is offered annually.
- In cooperation with int-schule.de an online learning path for pupils on the Apple or Popcorn? series of lessons has been created.
- As part of a BMBF-funded project, an online self-learning course "Trees do it yourself - data-based decision-making" was developed for prospective/acting teachers for the KI-Campus platform.
International cooperations
- With the SRLT Community (The International Collaboration for Research on Statistical Reasoning, Thinking and Literacy) we are in constant exchange about our materials and research at international conferences.
- With the Concord Consortium we are in close exchange about the further development of data science content with and for the Common Online Data Analysis Platform CODAP (codap.concord.org)codap.concord.org)
- Together with Tim Erickson from eeeps Media we discuss and develop the decision tree plugin for CODAP.
- With the International Data Science in Schols Project (IDSSP) we are in regular exchange about approaches to establish data science in secondary education.
- DAAD PPP Neuseeland (Programm des Projektbezogenen Personenaustauschs, 2025–2026)
Im Rahmen des vom DAAD geförderten Projekts “Branching out data science at the high school level: Exploring new pedagogical perspectives on data and modelling at the interface of statistics and computer science education” arbeiten wir mit der Universität Auckland in Neuseeland an der Weiterentwicklung von Unterrichtsmaterialien und Forschungsperspektiven zu Data Science im Schulkontext. Der Austausch dient insbesondere der Vertiefung der Materialentwicklung für den Unterricht, der Intensivierung der internationalen Forschungskooperation sowie der Förderung und Vernetzung junger Forschender.