CIRCSIM-Tutor: an intelligent tutoring system using natural language dialogue

Authors:
Martha W. Evens;Ru-Charn Chang;Yoon Hee Lee;Leem Seop Shim;Chong Woo Woo;Yuemei Zhang;Joel A. Michael;Allen A. Rovick
Affiliations:
Illinois Institute of Technology, Chicago, IL;Illinois Institute of Technology, Chicago, IL;Illinois Institute of Technology, Chicago, IL;Illinois Institute of Technology, Chicago, IL;Illinois Institute of Technology, Chicago, IL;Illinois Institute of Technology, Chicago, IL;Rush Medical College, Chicago, IL;Rush Medical College, Chicago, IL
Venue:
ANLC '97 Proceedings of the fifth conference on Applied natural language processing: Descriptions of system demonstrations and videos
Year:
1997

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Abstract

CIRCSIM-Tutor version 2, a dialogue-based intelligent tutoring system (ITS), is nearly five years old. It conducts a conversation with a student to help the student learn to solve a class of problems in cardiovascular physiology dealing with the regulation of blood pressure. It uses natural language for both input and output, and can handle a variety of syntactic constructions and lexical items, including sentence fragments and misspelled words.