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

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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.
Original languageEnglish
Title of host publicationProceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13)
EditorsPaul Drijvers, Csaba Csapodi, Hanna Palmér, Katalin Gosztonyi, Eszter Kónya
Number of pages8
PublisherAlfréd Rényi Institute of Mathematics and ERME
Publication date2023
Pages1227-1234
Publication statusPublished - 2023
Event13th Congress of the European Society for Research in Mathematics Education - Alfréd Rényi Institute of Mathematics, Budapest, Hungary
Duration: 10 Jul 202314 Jul 2023
Conference number: 13
https://cerme13.renyi.hu/

Conference

Conference13th Congress of the European Society for Research in Mathematics Education
Nummer13
LocationAlfréd Rényi Institute of Mathematics
LandHungary
ByBudapest
Periode10/07/202314/07/2023
Internetadresse

ID: 384615851