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Conference Papers Year : 2023

AI education as a starting point for interdisciplinary STEM projects

Abstract

Artificial intelligence (AI) is a key technology nowadays and of enormous relevance for our society. A central characteristic of applications and methods from the field of AI is that they are highly interdisciplinary. Both mathematics, computer science, and other STEM as well as non-STEM disciplines are crucial depending on the application at hand. In addition, ethical considerations play an important role. Thus, together with the increasing demand to bring AI education into schools, comes the opportunity to design and implement interdisciplinary projects. In this paper, a developed digital learning module on the problem of human activity recognition on smartphones is used to show how interdisciplinary AI projects can be designed. We use a context-integration approach that focuses on mathematics embedded in mathematical modeling activities, while incorporating knowledge from computer science and physics.
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Dates and versions

hal-04420534 , version 1 (26-01-2024)

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  • HAL Id : hal-04420534 , version 1

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Sarah Schönbrodt, Katja Hoeffer, Martin Frank. AI education as a starting point for interdisciplinary STEM projects. Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13), Alfréd Rényi Institute of Mathematics; Eötvös Loránd University of Budapest, Jul 2023, Budapest, Hungary. ⟨hal-04420534⟩

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