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AAAI
1996
13 years 8 months ago
ReCognition and Critiquing of Erroneous Agent Actions
Anagent can performerroneous actions. Despite such errors, one might want to understand what the agent tried to achieve. Suchunderstanding is important, for example, in intelligen...
Ole J. Mengshoel, David C. Wilkins
AAAI
2007
13 years 9 months ago
Extracting Student Models for Intelligent Tutoring Systems
John C. Stamper, Tiffany Barnes, Marvin J. Croy
FLAIRS
2006
13 years 9 months ago
Evaluation of the q-matrix Method in Understanding Student Logic Proofs
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. We present a novel application of ...
Tiffany Barnes
HICSS
2006
IEEE
139views Biometrics» more  HICSS 2006»
14 years 1 months ago
Tools for Building Intelligent Tutoring Systems
Intelligent Tutoring Systems (ITSs) have proved useful in a variety of domains, but are notoriously resource intensive to build. We have created two programs (“tutor generatorsâ...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
ARGMAS
2008
Springer
13 years 9 months ago
Personality-Based Practical Reasoning
In virtual training scenarios, agent technology can be used to build a virtual tutor that assists a student during training. In a dialogue using argumentation schemes, the virtual ...
Thomas L. van der Weide, Frank Dignum, John-Jules ...