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» Detecting Student Misuse of Intelligent Tutoring Systems
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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...
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 13 days ago
Learning by Teaching SimStudent
The purpose of the current study was to test whether we could create a system where students can learn by teaching a live machine-learning agent. SimStudent is a computer agent tha...
Noboru Matsuda, Victoria Keiser, Rohan Raizada, Ga...
ENC
2005
IEEE
14 years 1 months ago
A Probabilistic Relational Student Model for Virtual Laboratories
The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The stu...
Julieta Noguez, Luis Enrique Sucar
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,...
FLAIRS
2000
13 years 9 months ago
What is Wrong with this Equation? Error Detection and Feedback with Physics Equations
Oneof the keys to a goodIntelligent Tutoring System (ITS)is its ability to identify andlocalize the error a student's answerand then generate useful feedback. This paper desc...
Chun Wai Liew, Joel A. Shapiro, Donald E. Smith