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Wolff, Annika; Gooch, Daniel; Cavero Montaner, Jose J.; Rashid, Umar and Kortuem, Gerd
(2016).
DOI: https://doi.org/10.15353/joci.v12i3.3275
Abstract
Society has become increasingly reliant on data, making it necessary to ensure that all citizens are equipped with the skills needed to be data literate. We argue that the foundations for a data literate society begin by acquiring key data literacy competences in school. However, as yet there is no clear definition of what these should be. This paper explores the different perspectives currently offered on both data and statistical literacy and then critically examines to what extent these address the data literacy needs of citizens in today’s society. We survey existing approaches to teaching data literacy in schools, to identify how data literacy is interpreted in practice. Based on these analyses, we propose a definition of data literacy that is focused on employing an inquiry-based approach to using data to understand real world phenomena. The contribution of this paper is the creation of a common foundation for teaching and learning data literacy skills.
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About
- Item ORO ID
- 47779
- Item Type
- Journal Item
- ISSN
- 1712-4441
- Project Funding Details
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Funded Project Name Project ID Funding Body MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM) H04 HEFCE - Extra Information
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Special issue on Data Literacy
18 pp. - Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) - Copyright Holders
- © 2016 The Authors
- Depositing User
- Annika Wolff