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Journals and Conferences
CIRCSlM-Tutor version 2, a dialogne-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 cardio-vascular physiology dealing with the regulation of blood pressure. It uses natural language for both input and output, and can handle a variety of… (More)
We present a syllable bigram model forsegmentingaKoreansentenceinto words and correcting word-spacing errors in the spelling checker. We evaluated the system's performance for automatic word segmentation, word-spacing error detection, and the word-splitting problem of the characterrecognitionsystemattheend ofaline.
OBJECTIVE The objective of this research was to build an intelligent tutoring system capable of carrying on a natural language dialogue with a student who is solving a problem in physiology. Previous experiments have shown that students need practice in qualitative causal reasoning to internalize new knowledge and to apply it effectively and that they learn… (More)
Our future efforts will be in continued enhancements to the mapping techniques used in one dimension, and in producing mappings from motion into a two-dimensional analog control signal.