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


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
Publication statusPublished - 2002
Externally publishedYes


Dive into the research topics of 'AutoTutor: A Conversational Tutoring Environment'. Together they form a unique fingerprint.

Cite this