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Communication Dans Un Congrès Année : 2023

Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics

Britta Eyrich Jessen
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Résumé

In this paper we address recent years'' attempt to include data science in school mathematics treated from the perspective of mathematical modelling. In our analysis we draw on the notion of scale of levels of co-determinacy from the Anthropological Theory of the Didactic (ATD) to identify the options or limitations for implementing data science in mathematics education as part of mathematical modelling. We analyse trends in educational debate, curriculum documents, textbooks and teaching material developed for Danish upper secondary school and called ‘Data analysis and Cancer’. We identify fruitful conditions and delimiting constraints for merging mathematics and data science in upper secondary mathematics.
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Dates et versions

hal-04415835 , version 1 (24-01-2024)

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  • HAL Id : hal-04415835 , version 1

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Britta Eyrich Jessen. Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. 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-04415835⟩

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