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Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms

Mathematical concepts are regularly used in media reports concerning the Covid-19 pandemic. These include growth models, which attempt to explain or predict the effectiveness of interventions and developments, as well as the reproductive factor. Our contribution has the aim of showing that basic men...

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Autores principales: Siller, Hans-Stefan, Elschenbroich, Hans-Jürgen, Greefrath, Gilbert, Vorhölter, Katrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549845/
https://www.ncbi.nlm.nih.gov/pubmed/36249126
http://dx.doi.org/10.1007/s11858-022-01433-8
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author Siller, Hans-Stefan
Elschenbroich, Hans-Jürgen
Greefrath, Gilbert
Vorhölter, Katrin
author_facet Siller, Hans-Stefan
Elschenbroich, Hans-Jürgen
Greefrath, Gilbert
Vorhölter, Katrin
author_sort Siller, Hans-Stefan
collection PubMed
description Mathematical concepts are regularly used in media reports concerning the Covid-19 pandemic. These include growth models, which attempt to explain or predict the effectiveness of interventions and developments, as well as the reproductive factor. Our contribution has the aim of showing that basic mental models about exponential growth are important for understanding media reports of Covid-19. Furthermore, we highlight how the coronavirus pandemic can be used as a context in mathematics classrooms to help students understand that they can and should question media reports on their own, using their mathematical knowledge. Therefore, we first present the role of mathematical modelling in achieving these goals in general. The same relevance applies to the necessary basic mental models of exponential growth. Following this description, based on three topics, namely, investigating the type of growth, questioning given course models, and determining exponential factors at different times, we show how the presented theoretical aspects manifest themselves in teaching examples when students are given the task of reflecting critically on existing media reports. Finally, the value of the three topics regarding the intended goals is discussed and conclusions concerning the possibilities and limits of their use in schools are drawn.
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spelling pubmed-95498452022-10-11 Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms Siller, Hans-Stefan Elschenbroich, Hans-Jürgen Greefrath, Gilbert Vorhölter, Katrin ZDM Original Paper Mathematical concepts are regularly used in media reports concerning the Covid-19 pandemic. These include growth models, which attempt to explain or predict the effectiveness of interventions and developments, as well as the reproductive factor. Our contribution has the aim of showing that basic mental models about exponential growth are important for understanding media reports of Covid-19. Furthermore, we highlight how the coronavirus pandemic can be used as a context in mathematics classrooms to help students understand that they can and should question media reports on their own, using their mathematical knowledge. Therefore, we first present the role of mathematical modelling in achieving these goals in general. The same relevance applies to the necessary basic mental models of exponential growth. Following this description, based on three topics, namely, investigating the type of growth, questioning given course models, and determining exponential factors at different times, we show how the presented theoretical aspects manifest themselves in teaching examples when students are given the task of reflecting critically on existing media reports. Finally, the value of the three topics regarding the intended goals is discussed and conclusions concerning the possibilities and limits of their use in schools are drawn. Springer Berlin Heidelberg 2022-10-10 2023 /pmc/articles/PMC9549845/ /pubmed/36249126 http://dx.doi.org/10.1007/s11858-022-01433-8 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
Siller, Hans-Stefan
Elschenbroich, Hans-Jürgen
Greefrath, Gilbert
Vorhölter, Katrin
Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title_full Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title_fullStr Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title_full_unstemmed Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title_short Mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
title_sort mathematical modelling of exponential growth as a rich learning environment for mathematics classrooms
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549845/
https://www.ncbi.nlm.nih.gov/pubmed/36249126
http://dx.doi.org/10.1007/s11858-022-01433-8
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