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» Detecting Student Misuse of Intelligent Tutoring Systems
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EDM
2010
160views Data Mining» more  EDM 2010»
15 years 3 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»
15 years 6 months 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
15 years 7 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
15 years 8 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
15 years 3 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