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Data-literate citizenry: how US state standards address data and data visualizations in social studies

Tamara L. Shreiner (Department of History, Grand Valley State University, Allendale, Michigan, USA)

Information and Learning Sciences

ISSN: 2398-5348

Article publication date: 3 November 2020

Issue publication date: 15 December 2020

6878

Abstract

Purpose

Data literacy – the ability to read, analyze, interpret, evaluate and argue with data and data visualizations – is an essential competency in social studies. This study aims to examine the degree to which US state standards require teachers to teach data literacy in social studies, addressing the questions: to what extent are US social studies teachers required to teach data literacy? If they are required to teach it, are they provided with guidance about competencies to address at each school or grade level and with respect to particular content?

Design/methodology/approach

The study used content analysis, using a variety of priori and emergent codes, to review social studies standards documents from all 50 states and the District of Columbia.

Findings

Findings indicate that although state standards suggest that data visualizations should play a role in social studies instruction, they provide poor guidance for a coherent, progressive and critical approach across grade levels.

Originality/value

Researchers currently know little about if and how teachers address data literacy in social studies education. This study provides a snapshot of guidance teachers across states are given for teaching data literacy, and by extension, the quality of data literacy instruction recommended for students across the USA.

Keywords

Acknowledgements

Thanks to Bradford Dykes and Mark Guzdial for their helpful comments on this research. Any inaccuracies are my own.

Citation

Shreiner, T.L. (2020), "Data-literate citizenry: how US state standards address data and data visualizations in social studies", Information and Learning Sciences, Vol. 121 No. 11/12, pp. 909-931. https://doi.org/10.1108/ILS-03-2020-0054

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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