AutoTutor: An Intelligent Tutoring System With Mixed-Initiative Dialogue

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2005 English Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Education, volume 48, pages 612-618 (issn: 0018-9359,

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Authors: Arthur C. Graesser; Patrick Chipman; Brian C. Haynes; Andrew Olney;

doi: 10.1109/te.2005.856149

AutoTutor: An Intelligent Tutoring System With Mixed-Initiative Dialogue

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Abstract

AutoTutor simulates a human tutor by holding a conversation with the learner in natural language. The dialogue is augmented by an animated conversational agent and three-dimensional (3-D) interactive simulations in order to enhance the learner's engagement and the depth of the learning. Grounded in constructivist learning theories and tutoring research, AutoTutor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition. The computational architecture of the system uses the .NET framework and has simplified deployment for classroom trials.

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