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Cultivating Visualization Literacy for Children Through Curiosity and Play

Authors :
Bae, S. Sandra
Vanukuru, Rishi
Yang, Ruhan
Gyory, Peter
Zhou, Ran
Do, Ellen Yi-Luen
Szafir, Danielle Albers
Source :
IEEE Transactions on Visualization and Computer Graphics; January 2023, Vol. 29 Issue: 1 p257-267, 11p
Publication Year :
2023

Abstract

Fostering data visualization literacy (DVL) as part of childhood education could lead to a more data literate society. However, most work in DVL for children relies on a more formal educational context (i.e., a teacher-led approach) that limits children's engagement with data to classroom-based environments and, consequently, children's ability to ask questions about and explore data on topics they find personally meaningful. We explore how a curiosity-driven, child-led approach can provide more agency to children when they are authoring data visualizations. This paper explores how informal learning with crafting physicalizations through play and curiosity may foster increased literacy and engagement with data. Employing a constructionist approach, we designed a do-it-yourself toolkit made out of everyday materials (e.g., paper, cardboard, mirrors) that enables children to create, customize, and personalize three different interactive visualizations (bar, line, pie). We used the toolkit as a design probe in a series of in-person workshops with 5 children (6 to 11-year-olds) and interviews with 5 educators. Our observations reveal that the toolkit helped children creatively engage and interact with visualizations. Children with prior knowledge of data visualization reported the toolkit serving as more of an authoring tool that they envision using in their daily lives, while children with little to no experience found the toolkit as an engaging introduction to data visualization. Our study demonstrates the potential of using the constructionist approach to cultivate children's DVL through curiosity and play.

Details

Language :
English
ISSN :
10772626
Volume :
29
Issue :
1
Database :
Supplemental Index
Journal :
IEEE Transactions on Visualization and Computer Graphics
Publication Type :
Periodical
Accession number :
ejs61525945
Full Text :
https://doi.org/10.1109/TVCG.2022.3209442