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» Managing Student Emotions in Intelligent Tutoring Systems
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CHI
2007
ACM
14 years 9 months ago
Modeling and understanding students' off-task behavior in intelligent tutoring systems
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Ryan Shaun Joazeiro de Baker
FLAIRS
2004
13 years 10 months ago
Using Student Explanations as Models for Adapting Tutorial Dialogue
We describe a dialogue management approach that adapts dialogue strategies to a changing user model under the constraint that the approach be able to scale up rapidly for intellig...
Pamela W. Jordan
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
14 years 2 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
FLAIRS
2006
13 years 10 months ago
Comparing Synthesized versus Pre-Recorded Tutor Speech in an Intelligent Tutoring Spoken Dialogue System
We evaluate the impact of tutor voice quality in the context of our intelligent tutoring spoken dialogue system. We first describe two versions of our system which yielded two cor...
Katherine Forbes-Riley, Diane J. Litman, Scott Sil...
AAAI
1998
13 years 10 months ago
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
One of the most important problems for an intelligent tutoring system is deciding how to respond when a student asks for help. Responding cooperatively requires an understanding o...
Abigail S. Gertner, Cristina Conati, Kurt VanLehn