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AIED
2009
Springer
14 years 2 months 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...
ASSETS
2000
ACM
13 years 11 months ago
An intelligent tutoring system for deaf learners of written English
This paper describes progress toward a prototype implementation of a tool which aims to improve literacy in deaf high school and college students who are native (or near native) s...
Lisa N. Michaud, Kathleen F. McCoy, Christopher A....
EDM
2010
160views Data Mining» more  EDM 2010»
13 years 9 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
AIED
2007
Springer
14 years 1 months ago
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
CHI
2000
ACM
13 years 11 months ago
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
Albert T. Corbett, Holly J. Trask