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AIED
2009
Springer
14 years 4 months ago
Transfer Learning and Representation Discovery in Intelligent Tutoring Systems
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
ACII
2007
Springer
14 years 4 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
EDM
2008
141views Data Mining» more  EDM 2008»
13 years 11 months ago
Acquiring Background Knowledge for Intelligent Tutoring Systems
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching st...
Cláudia Antunes
IJCINI
2007
125views more  IJCINI 2007»
13 years 9 months ago
A Unified Approach To Fractal Dimensions
The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
Witold Kinsner
ITS
2004
Springer
165views Multimedia» more  ITS 2004»
14 years 3 months ago
Knowledge Representation Requirements for Intelligent Tutoring Systems
In this paper, we make a first effort to define requirements for knowledge representation (KR) in an ITS. The requirements concern all stages of an ITS’s life cycle (construction...
Ioannis Hatzilygeroudis, Jim Prentzas