Visualizing educational data from logic tutors

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. © 2010 Springer-Verlag.