AutoTutor Passes the Bystander Turing Test

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Authors

Mary Erkel, Natalie Person, Rhodes College, United States ; Art Graesser, University of Memphis, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 2002 in Montreal, Canada ISBN 978-1-880094-46-4

Abstract

In this study, the Bystander Turing Test (BTT) paradigm is used to determine whether participants rate particular dialog moves in tutoring transcripts to be generated by a computer tutor, AutoTutor, or by a skilled human tutor. Results indicate that participants are unable to differentiate computer-generated moves from those generated by skilled human tutors. Participants did, however, view some dialog move categories to be more pedagogically effective than others regardless of whether the dialog move was generated by AutoTutor or by a skilled human tutor.

Citation

Erkel, M., Person, N. & Graesser, A. (2002). AutoTutor Passes the Bystander Turing Test. In M. Driscoll & T. Reeves (Eds.), Proceedings of E-Learn 2002--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 778-784). Montreal, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 14, 2024 from https://www.learntechlib.org/p/15301.