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Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis
The mathematical medium of data visualization and other data representations (DV) has served as a primary means of communicating about the COVID-19 crisis. DVs about the pandemic are highly visible across news journalism and include an increasingly innovative and diverse set of representational form...
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/PMC9734678/ https://www.ncbi.nlm.nih.gov/pubmed/36532825 http://dx.doi.org/10.1007/s11858-022-01449-0 |
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author | Lim, Vivian Y. Peralta, Lee Melvin M. Rubel, Laurie H. Jiang, Shiyan Kahn, Jennifer B. Herbel-Eisenmann, Beth |
author_facet | Lim, Vivian Y. Peralta, Lee Melvin M. Rubel, Laurie H. Jiang, Shiyan Kahn, Jennifer B. Herbel-Eisenmann, Beth |
author_sort | Lim, Vivian Y. |
collection | PubMed |
description | The mathematical medium of data visualization and other data representations (DV) has served as a primary means of communicating about the COVID-19 crisis. DVs about the pandemic are highly visible across news journalism and include an increasingly innovative and diverse set of representational forms. These representational forms employ multimodal, interactive, and narrative elements, among others, that create new possibilities for data storytelling. Building on current efforts to expand the teaching and learning of data practices in K-12 mathematics education, we argue that innovative DVs create new opportunities for teaching and learning mathematics, particularly during times of crisis. We illustrate our argument using three examples of innovative DVs from news journalism. We discuss how these DVs could serve as complementary resources alongside conventional graphs to support students as they use mathematics and mathematical representations to make sense of crises such as the COVID-19 pandemic. Our commentary seeks to bring current trends in data representation to bear in mathematics education. Leveraging such trends offers artifacts useful for teaching and opens up space for elevating emotion and experience as important aspects of mathematics curricula. |
format | Online Article Text |
id | pubmed-9734678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-97346782022-12-12 Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis Lim, Vivian Y. Peralta, Lee Melvin M. Rubel, Laurie H. Jiang, Shiyan Kahn, Jennifer B. Herbel-Eisenmann, Beth ZDM Original Paper The mathematical medium of data visualization and other data representations (DV) has served as a primary means of communicating about the COVID-19 crisis. DVs about the pandemic are highly visible across news journalism and include an increasingly innovative and diverse set of representational forms. These representational forms employ multimodal, interactive, and narrative elements, among others, that create new possibilities for data storytelling. Building on current efforts to expand the teaching and learning of data practices in K-12 mathematics education, we argue that innovative DVs create new opportunities for teaching and learning mathematics, particularly during times of crisis. We illustrate our argument using three examples of innovative DVs from news journalism. We discuss how these DVs could serve as complementary resources alongside conventional graphs to support students as they use mathematics and mathematical representations to make sense of crises such as the COVID-19 pandemic. Our commentary seeks to bring current trends in data representation to bear in mathematics education. Leveraging such trends offers artifacts useful for teaching and opens up space for elevating emotion and experience as important aspects of mathematics curricula. Springer Berlin Heidelberg 2022-12-08 2023 /pmc/articles/PMC9734678/ /pubmed/36532825 http://dx.doi.org/10.1007/s11858-022-01449-0 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Lim, Vivian Y. Peralta, Lee Melvin M. Rubel, Laurie H. Jiang, Shiyan Kahn, Jennifer B. Herbel-Eisenmann, Beth Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title | Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title_full | Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title_fullStr | Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title_full_unstemmed | Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title_short | Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis |
title_sort | keeping pace with innovations in data visualizations: a commentary for mathematics education in times of crisis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734678/ https://www.ncbi.nlm.nih.gov/pubmed/36532825 http://dx.doi.org/10.1007/s11858-022-01449-0 |
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