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Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study
In this paper, we discuss the theoretical background of mathematical modelling and its connection to citizenship education. Citizenship education in this context means that young people are equipped with competencies to respond as responsible citizens in situations relevant for society. To outline t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579571/ https://www.ncbi.nlm.nih.gov/pubmed/36274986 http://dx.doi.org/10.1007/s11858-022-01440-9 |
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author | Maass, Katja Zehetmeier, Stefan Weihberger, Anika Flößer, Katharina |
author_facet | Maass, Katja Zehetmeier, Stefan Weihberger, Anika Flößer, Katharina |
author_sort | Maass, Katja |
collection | PubMed |
description | In this paper, we discuss the theoretical background of mathematical modelling and its connection to citizenship education. Citizenship education in this context means that young people are equipped with competencies to respond as responsible citizens in situations relevant for society. To outline the connection between mathematical modelling and citizenship education in theory, we discuss the aims of mathematical modelling, modelling competences and the connection between numeracy and modelling. Based on these reflections we present an extended modelling cycle that specifically highlights modelling steps relevant to citizenship education. To show how the theoretical connection between mathematical modelling and citizenship education can be used in teaching practice, we describe three different examples of modelling tasks and analyse them with the help of the extended modelling cycle. We argue that the three tasks support different learning aims in relation to citizenship education and require modellers to carry out different steps of the extended modelling cycle. As an example of context, we used the pandemic caused by COVID-19, as it affected the quality of human life greatly, as all students in the Western world experienced. |
format | Online Article Text |
id | pubmed-9579571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-95795712022-10-19 Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study Maass, Katja Zehetmeier, Stefan Weihberger, Anika Flößer, Katharina ZDM Original Paper In this paper, we discuss the theoretical background of mathematical modelling and its connection to citizenship education. Citizenship education in this context means that young people are equipped with competencies to respond as responsible citizens in situations relevant for society. To outline the connection between mathematical modelling and citizenship education in theory, we discuss the aims of mathematical modelling, modelling competences and the connection between numeracy and modelling. Based on these reflections we present an extended modelling cycle that specifically highlights modelling steps relevant to citizenship education. To show how the theoretical connection between mathematical modelling and citizenship education can be used in teaching practice, we describe three different examples of modelling tasks and analyse them with the help of the extended modelling cycle. We argue that the three tasks support different learning aims in relation to citizenship education and require modellers to carry out different steps of the extended modelling cycle. As an example of context, we used the pandemic caused by COVID-19, as it affected the quality of human life greatly, as all students in the Western world experienced. Springer Berlin Heidelberg 2022-10-19 2023 /pmc/articles/PMC9579571/ /pubmed/36274986 http://dx.doi.org/10.1007/s11858-022-01440-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Maass, Katja Zehetmeier, Stefan Weihberger, Anika Flößer, Katharina Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title | Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title_full | Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title_fullStr | Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title_full_unstemmed | Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title_short | Analysing mathematical modelling tasks in light of citizenship education using the COVID-19 pandemic as a case study |
title_sort | analysing mathematical modelling tasks in light of citizenship education using the covid-19 pandemic as a case study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579571/ https://www.ncbi.nlm.nih.gov/pubmed/36274986 http://dx.doi.org/10.1007/s11858-022-01440-9 |
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