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AIED
2005
Springer
13 years 11 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
UMUAI
2008
110views more  UMUAI 2008»
13 years 5 months ago
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...
Scott W. McQuiggan, Bradford W. Mott, James C. Les...
HCI
2009
13 years 3 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...
IADIS
2003
13 years 7 months ago
A Facial Expression Analysis Component for Affective Tutoring Systems
Intelligent tutoring systems (ITS) provide individualised instruction. They offer many advantages over the traditional classroom scenario: they are always available, non-judgement...
Scott P. Overmyer, Hamid Gholam Hosseini, Chao Fan...
HCI
2009
13 years 3 months ago
Optimal Affective Conditions for Subconscious Learning in a 3D Intelligent Tutoring System
In this paper we take a closer and in-depth look at initial results obtained from a previous novel experiment conducted with a 3D subliminal teaching Intelligent Tutoring System. S...
Pierre Chalfoun, Claude Frasson