Natural Language Dialogue for Intelligent Tutoring Systems
Final rept. 2 Oct 2000-30 Sep 2006
ILLINOIS UNIV AT CHICAGO
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We study tutorial dialogue with two aims understanding what promotes learning in one on one tutoring developing language interfaces to Intelligent Tutoring Systems ITSs. We worked in three different domains. Our work comprises linguistic analysis, data mining, computational modeling e.g., discourse planning implementation, and empirical evaluation with human subjects. Our results show that interfaces developed on the basis of the tutorial dialogue analysis engender significantly more learning than other types of interfaces.