Representing Data: Intersections of Data Literacy, Data Art, & Data Visualization

Session Submission Type: Symposium

Abstract

As access to complex data increases, students and teachers need data literacy skills to effectively use information and turn data into actionable knowledge that informs decision-making. This symposium addresses a neglected aspect of data literacy - aesthetic and artistic means of representing and interpreting data. Across the three projects featured, participants are asked to consider an expanded definition of data literacy that frames visual representations of data as a composing practice that supports meaning making.

Content Area

• Area 6: Adolescent, College, and Adult Literacy Processes

Chair

• Matthew Hall, The College of New Jersey

Discussant

• Glynda Hull, University of California, Berkeley

Individual Presentations

• Researcher as data artist: Exploring issues of representation - Debora Broderick, Chester County Intermediate Unit

• Mapping participation pathways: Visualizing engagement and transformation in online learning - John Scott, University of California, Berkeley

• Tracing impact through data visualizations of networked writing - Amy Stornaiuolo, University of Pennsylvania; Matthew Hall, The College of New Jersey