Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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 language | English |
---|---|
Title of host publication | Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13) |
Editors | Paul Drijvers, Csaba Csapodi, Hanna Palmér, Katalin Gosztonyi, Eszter Kónya |
Number of pages | 8 |
Publisher | Alfréd Rényi Institute of Mathematics and ERME |
Publication date | 2023 |
Pages | 1227-1234 |
Publication status | Published - 2023 |
Event | 13th Congress of the European Society for Research in Mathematics Education - Alfréd Rényi Institute of Mathematics, Budapest, Hungary Duration: 10 Jul 2023 → 14 Jul 2023 Conference number: 13 https://cerme13.renyi.hu/ |
Conference
Conference | 13th Congress of the European Society for Research in Mathematics Education |
---|---|
Nummer | 13 |
Location | Alfréd Rényi Institute of Mathematics |
Land | Hungary |
By | Budapest |
Periode | 10/07/2023 → 14/07/2023 |
Internetadresse |
Links
- https://hal.science/hal-04415835/
Final published version
- https://hal.umontpellier.fr/hal-04430809v1/document
ID: 384615851