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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.
Afiliação
  • Lim VY; CUNY Guttman Community College, New York, USA.
  • Peralta LMM; Michigan State University, East Lansing, USA.
  • Rubel LH; University of Haifa, Haifa, Israel.
  • Jiang S; North Carolina State University, Raleigh, USA.
  • Kahn JB; University of Miami, Coral Gables, USA.
  • Herbel-Eisenmann B; Michigan State University, East Lansing, USA.
ZDM ; 55(1): 109-118, 2023.
Article em En | MEDLINE | ID: mdl-36532825
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ZDM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ZDM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos