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» Extracting Student Models for Intelligent Tutoring Systems
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EDM
2008
96views Data Mining» more  EDM 2008»
14 years 11 months ago
Labeling Student Behavior Faster and More Precisely with Text Replays
We present text replays, a method for generating labels that can be used to train classifiers of student behavior. We use this method to label data as to whether students are gamin...
Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de ...
ITS
2010
Springer
128views Multimedia» more  ITS 2010»
15 years 1 months ago
Can Affect Be Detected from Intelligent Tutoring System Interaction Data? - A Preliminary Study
This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained d...
Elizabeth A. Anglo, Ma. Mercedes T. Rodrigo
AIED
2007
Springer
15 years 4 months ago
Dialog Convergence and Learning
Abstract. In this paper we examine whether the student-to-tutor convergence of lexical and speech features is a useful predictor of learning in a corpus of spoken tutorial dialogs....
Arthur Ward, Diane J. Litman
ICWL
2007
Springer
15 years 4 months ago
Using Constraint-Based Modelling to Describe the Solution Space of Ill-defined Problems in Logic Programming
Intelligent Tutoring Systems have made great strides in recent years. Many of these gains have been achieved for welldefined problems. However, solving ill-defined problems is imp...
Nguyen-Thinh Le, Wolfgang Menzel
AIED
2005
Springer
15 years 3 months ago
The Effect of Explaining on Learning: a Case Study with a Data Normalization Tutor
: Several studies have shown that explaining actions increases students’ knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based t...
Antonija Mitrovic