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Fostering data and AI competencies in primary schools
Gärtig-Daugs, Anja; Schmid, Ute (2025): Fostering data and AI competencies in primary schools, in: Susanne Podworny, Sarah Schönbrodt, Susanne Podworny, u. a. (Hrsg.), Towards Fostering AI and Data Science Literacy in Schools Across Disciplines : Proceedings of the 1st Symposium on Integrating AI and Data Science into School Education Across Disciplines (AIDEA1 2025), S. 1–5.
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Title of the compilation:
Towards Fostering AI and Data Science Literacy in Schools Across Disciplines : Proceedings of the 1st Symposium on Integrating AI and Data Science into School Education Across Disciplines (AIDEA1 2025)
Editors:
Podworny, Susanne
Schönbrodt, Sarah
Conference:
1st Symposium on Integrating AI and Data Science into School Education Across Disciplines (AIDEA1 2025), 24. – 28. February 2025 ; Salzburg, Austria
Year of publication:
2025
Pages:
Language:
English
Abstract:
Data-driven tools and AI applications are present in the daily lives of young children. In Germany, one central objective of education policy is to support children in exploring, understanding and shaping the digital world through appropriate educational programs. However, many teachers lack data and AI competencies. In order to forster the integration of data and AI topics in primary school lessons, we designed a massive open online course for the qualification of primary school teachers.The course either can be integrated in a blended-learning format in university courses or can be self-paced followed by professional teachers. It requires no prior knowledge and provides teaching and learning materials for the forstering of data and AI competencies in different primary school subjects.
Keywords: ;
AI and data science curricula and implementation in schools
learning materials
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Type:
Conferenceobject
Activation date:
November 21, 2025
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https://fis.uni-bamberg.de/handle/uniba/111601