Mind Bugs: The Origins of Procedural Misconceptions
Mind Bugs: The Origins of Procedural Misconceptions
ITS, Agents, BDI, and Affection: Trying to Make a Plan Come Together
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Human or Computer? AutoTutor in a Bystander Turing Test
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A framework for automated test generation in intelligent tutoring systems
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
AutoTutor: A simulation of a human tutor
Cognitive Systems Research
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The Tutoring Research Group at the University of Memphis is developing an intelligent tutoring system which takes advantages of recent technological advances in the areas of semantic processing of natural language, world knowledge representation, multimedia interfaces, and fuzzy descriptions. The tutoring interaction is based on in-depth studies of human tutors, both skilled and unskilled. Latent semantic analysis will be used to semantically process and provide a representation for the student's contributions. Fuzzy production rules select appropriate topics and tutor dialogue moves from a rich curriculum script. The production rules will implement a variety of different tutoring styles, from a basic untrained tutor to one which uses sophisticated pedagogical strategies. The tutor will be evaluated on the naturalness of its interaction, with Turing-style tests, by comparing different tutoring styles, and by judging learning outcomes.