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UMUAI
2008
110views more  UMUAI 2008»
13 years 7 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...
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...
AAAI
2007
13 years 10 months ago
Extracting Student Models for Intelligent Tutoring Systems
John C. Stamper, Tiffany Barnes, Marvin J. Croy
AIED
2009
Springer
14 years 16 days ago
Cohesion Relationships in Tutorial Dialogue as Predictors of Affective States
We explored the possibility of predicting learners’ affective states (boredom, flow/engagement, confusion, and frustration) by monitoring variations in the cohesiveness of tutori...
Sidney K. D'Mello, Nia Dowell, Arthur C. Graesser