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AAAI
1998
13 years 7 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
OZCHI
2005
ACM
13 years 11 months ago
Making sense of student use of nonverbal cues for intelligent tutoring systems
Many software systems would significantly improve performance if they could interpret the nonverbal cues in their user’s interactions as humans normally do. Currently, Intellige...
Farhad Dadgostar, Hokyoung Ryu, Abdolhossein Sarra...
FLAIRS
2006
13 years 7 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...
UM
2005
Springer
13 years 11 months ago
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cog...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce ...
AIED
2009
Springer
14 years 5 days ago
Emotion Sensors Go To School
This paper describes the use of sensors in intelligent tutors to detect students' affective states and to embed emotional support. Using four sensors in two classroom experime...
Ivon Arroyo, David G. Cooper, Winslow Burleson, Be...