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» Using Learning Curves to Mine Student Models
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EDM
2010
140views Data Mining» more  EDM 2010»
13 years 8 months ago
An Annotations Approach to Peer Tutoring
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
John Champaign, Robin Cohen
EDM
2008
288views Data Mining» more  EDM 2008»
13 years 8 months ago
Data Mining Algorithms to Classify Students
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
Cristóbal Romero, Sebastián Ventura,...
EDM
2008
108views Data Mining» more  EDM 2008»
13 years 8 months ago
Do Students Who See More Concepts in an ITS Learn More?
Active engagement in the subject material has been strongly linked to deeper learning. In traditional teaching environments, even though the student might be presented with new con...
Moffat Mathews, Tanja Mitrovic
ICML
2003
IEEE
14 years 8 months ago
Regression Error Characteristic Curves
Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generaliz...
Jinbo Bi, Kristin P. Bennett
ICALT
2008
IEEE
14 years 1 months ago
Glosser: Enhanced Feedback for Student Writing Tasks
We describe Glosser, a system that supports students in writing essays by 1) scaffolding their reflection with trigger questions, and 2) using text mining techniques to provide co...
Jorge J. Villalón, Paul Kearney, Rafael A. ...