Expert systems: perils and promise
Communications of the ACM
Tuning of search of the problem space for geometry proofs
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
A framework for representing tutorial discourse
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Evaluation of WebxPST: a browser-based authoring tool for problem-specific tutors
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
The cognitive tutor authoring tools (CTAT): preliminary evaluation of efficiency gains
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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This article discusses the need for multiple experts to work together to develop knowledge representation systems for intelligent tutors. Three case studies are examined in which the need for a pragmatic approach to the problem of knowledge acquisition has become apparent. Example methodologies for building tools for the knowledge acquisition phase are described including specific tasks and criteria that might be used to transfer expertise from several experts to an intelligent tutoring system.