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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
OriginalsprogEngelsk
TitelProceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13)
RedaktørerPaul Drijvers, Csaba Csapodi, Hanna Palmér, Katalin Gosztonyi, Eszter Kónya
Antal sider8
ForlagAlfréd Rényi Institute of Mathematics and ERME
Publikationsdato2023
Sider1227-1234
StatusUdgivet - 2023
Begivenhed13th Congress of the European Society for Research in Mathematics Education - Alfréd Rényi Institute of Mathematics, Budapest, Ungarn
Varighed: 10 jul. 202314 jul. 2023
Konferencens nummer: 13
https://cerme13.renyi.hu/

Konference

Konference13th Congress of the European Society for Research in Mathematics Education
Nummer13
LokationAlfréd Rényi Institute of Mathematics
LandUngarn
ByBudapest
Periode10/07/202314/07/2023
Internetadresse

ID: 384615851