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» Detecting Student Misuse of Intelligent Tutoring Systems
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EDM
2009
107views Data Mining» more  EDM 2009»
13 years 5 months ago
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task
Recent research has suggested that differences between intelligent tutor lessons predict a large amount of the variance in the prevalence of gaming the system [4]. Within this pape...
Ryan Baker
WSC
1997
13 years 9 months ago
SimTutor: A Multimedia Intelligent Tutoring System for Simulation Modeling
SimTutor is a multimedia intelligent tutoring system (ITS) for simulation modeling. Multimedia systems are now de facto standard on personal computers and increasing number of int...
Tajudeen A. Atolagbe, Vlatka Hlupic
HCI
2009
13 years 5 months ago
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues
This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners' boredom, confusi...
Sidney K. D'Mello, Scotty D. Craig, Karl Fike, Art...
ACII
2007
Springer
14 years 1 months ago
Early Prediction of Student Frustration
Affective reasoning has been the subject of increasing attention in recent years. Because negative affective states such as frustration and anxiety can impede progress toward learn...
Scott W. McQuiggan, Sunyoung Lee, James C. Lester
NAACL
2003
13 years 9 months ago
Towards Emotion Prediction in Spoken Tutoring Dialogues
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
Diane J. Litman, Katherine Forbes, Scott Silliman