AutoTutor: A Conversational Tutoring Environment

Andrew M. Olney, Natalie K. Person, Max Louwerse, Arthur C Graesser, Tutoring Research Group

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

AutoTutor is a conversational tutoring environment applicable to any content domain. AutoTutor simulates the dialog patterns and pedagogical strategies of human tutors in a conversational interface that supports mixed-initiative
dialog. As the student and AutoTutor progress through the tutoring session, they engage in a conversation to collaboratively improve the quality of the student's contributions.
Original languageEnglish
Title of host publicationProceedings of the ACL-02 Demonstration Session
Place of PublicationPhiladelphia
PublisherAssociation for Computational Linguistics
Pages108-109
Publication statusPublished - 2002
Externally publishedYes

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  • Cite this

    Olney, A. M., Person, N. K., Louwerse, M., Graesser, A. C., & Group, T. R. (2002). AutoTutor: A Conversational Tutoring Environment . In Proceedings of the ACL-02 Demonstration Session (pp. 108-109). Association for Computational Linguistics. https://www.researchgate.net/publication/237332910_AutoTutor_A_Conversational_Tutoring_Environment