Mining and Visualizing Visited Trails in Web-Based Educational Systems

A data mining and visualization tool for the discovery of student trails in web-based educational systems is presented and described. The tool uses graphs to visualize results, allowing non-expert users, such as course instructors, to interpret its output. Several experiments have been conducted, using real data collected from a web-based intelligent tutoring system. The results of the data mining algorithm can be adjusted by tuning its parameters or filtering to concentrate on specific trails, or to focus only on the most significant paths.

• Type: Conference
• Year: 2008
• Where: EDM
• Authors: Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura
• Keywords: Data Mining, EDM 2008, Tool Uses Graphs, Web-based Educational Systems