Remediation in data visualization: two examples of learning in real-time data processing environments

  • Authors:
  • Justin Young;Charlie Potter

  • Affiliations:
  • Eastern Washington University;Eastern Washington University

  • Venue:
  • Communication Design Quarterly Review
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

Abstract

Our poster is an exploration of the effects of quantifying physical experiences and refashioning them into new, interactive, live experiences through data visualization; the poster explores how data visualizations are designed to teach and effect change. Specifically, the authors explore two topics: athletic training and teacher training. Both of these fields have been inundated by data analysis tactics; sports data visualizations are highly developed and hypermediate while teacher training data are still largely immediate and static Through an analysis of these two topics in relation to theories of phenomenography and remediation, the poster discusses how the use of real-time data analysis and data visualization common in sports training might inform how that we effect change in other fields, such as teaching.