Visualizing educational data from logic tutors

  • Authors:
  • Matthew Johnson;Tiffany Barnes

  • Affiliations:
  • University of North Carolina at Charlotte, Charlotte, NC;University of North Carolina at Charlotte, Charlotte, NC

  • Venue:
  • ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
  • Year:
  • 2010

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Abstract

We propose a data visualization tool that offers insights into the way students solve procedural domain problems The tool uses nodes and edges to represent states and actions which students have generated using an intelligent tutoring system or computer aided instruction tool, ultimately showing the way a student has solved a problem We use the example of logic tutor data and suggest two methods of evaluation for ensuring the tool is effective at aiding educators to better understand student learning.