DataSketch: A Tool to Turn Student Sketches into Data-Driven Visualizations
Highly visual, interactive, data-driven displays are a ubiquitous part of life. We see them on industrial interfaces, at museums, and on daily news websites. Although they are popular and visually appealing, data visualizations require specific skills and knowledge to be understood. Most K-12 curricula in the U. S. only expose learners to conventional representations such as line graphs or tables rather than more complex visualizations of this sort. This paper describes DataSketch: a tool designed to allow young learners to develop data visualization literacy by creating their own data-driven digital ink visualizations. Informed by theory and empirical research in the learning sciences, I argue that leveraging a sketch-based paradigm offers a powerful way to develop youths’ data visualization literacy by leveraging the familiarity and flexibility of drawing as an expressive medium.
This work is funded by the National Science Foundation Grant Number IIS-1350282. Thanks to four anonymous reviewers for their feedback on previous versions of this draft. Special thanks to Vasiliki Laina and Kimberle Koile.
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