Standard
Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. / Jessen, Britta Eyrich.
Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). ed. / Paul Drijvers; Csaba Csapodi; Hanna Palmér; Katalin Gosztonyi; Eszter Kónya. Alfréd Rényi Institute of Mathematics and ERME, 2023. p. 1227-1234.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Jessen, BE 2023,
Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. in P Drijvers, C Csapodi, H Palmér, K Gosztonyi & E Kónya (eds),
Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). Alfréd Rényi Institute of Mathematics and ERME, pp. 1227-1234, 13th Congress of the European Society for Research in Mathematics Education, Budapest, Hungary,
10/07/2023. <
https://hal.science/hal-04415835/>
APA
Jessen, B. E. (2023).
Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. In P. Drijvers, C. Csapodi, H. Palmér, K. Gosztonyi, & E. Kónya (Eds.),
Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13) (pp. 1227-1234). Alfréd Rényi Institute of Mathematics and ERME.
https://hal.science/hal-04415835/
Vancouver
Jessen BE. Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. In Drijvers P, Csapodi C, Palmér H, Gosztonyi K, Kónya E, editors, Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). Alfréd Rényi Institute of Mathematics and ERME. 2023. p. 1227-1234
Author
Jessen, Britta Eyrich. / Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics. Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). editor / Paul Drijvers ; Csaba Csapodi ; Hanna Palmér ; Katalin Gosztonyi ; Eszter Kónya. Alfréd Rényi Institute of Mathematics and ERME, 2023. pp. 1227-1234
Bibtex
@inproceedings{437ac7cede2d4c2cb87c9c8b016979cb,
title = "Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics",
abstract = "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 {\textquoteleft}Data analysis and Cancer{\textquoteright}. We identify fruitful conditions and delimiting constraints for merging mathematics and data science in upper secondary mathematics.",
author = "Jessen, {Britta Eyrich}",
year = "2023",
language = "English",
pages = "1227--1234",
editor = "Paul Drijvers and Csaba Csapodi and Palm{\'e}r, {Hanna } and Katalin Gosztonyi and Eszter K{\'o}nya",
booktitle = "Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13)",
publisher = "Alfr{\'e}d R{\'e}nyi Institute of Mathematics and ERME",
note = "13th Congress of the European Society for Research in Mathematics Education, CERME ; Conference date: 10-07-2023 Through 14-07-2023",
url = "https://cerme13.renyi.hu/",
}
RIS
TY - GEN
T1 - Constraints and conditions for teaching data science as part of mathematical modelling in upper secondary mathematics
AU - Jessen, Britta Eyrich
N1 - Conference code: 13
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
M3 - Article in proceedings
SP - 1227
EP - 1234
BT - Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13)
A2 - Drijvers, Paul
A2 - Csapodi, Csaba
A2 - Palmér, Hanna
A2 - Gosztonyi, Katalin
A2 - Kónya, Eszter
PB - Alfréd Rényi Institute of Mathematics and ERME
T2 - 13th Congress of the European Society for Research in Mathematics Education
Y2 - 10 July 2023 through 14 July 2023
ER -
