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Proceedings Paper

AutoTutor: a human tutoring simulation with an animated pedagogical interface
Author(s): Scotty D. Craig; Xiangen Hu; Barry Gholson; William Marks; Arthur C. Graesser
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Paper Abstract

This paper presents an overview AutoTutor, an intelligent tutoring system that engages in conversationally smooth dialogue with students. AutoTutor simulates the discourse patterns and dialogue moves of human tutors with modest tutoring expertise. In order to concretize the situation we begin with two short snapshots of AutoTutor in action. In one snapshot, involving an articulate and knowledgeable student, AutoTutor begins with a how question and then simply pumps for further information. In the other, with an inarticulate and less knowledgeable student AutoTutor begins with a why question and follows this with numerous hints and prompts until the topic is covered. The remainder of the paper describes the system's architecture, which is comprised of seven modules: a curriculum script, language extraction, speech act classification, latent semantic analysis, topic selection, dialogue move generation, and animated agent. AutoTutor responds to the learner in real time and runs of a single Pentium processor.

Paper Details

Date Published: 28 November 2000
PDF: 8 pages
Proc. SPIE 4126, Integrated Command Environments, (28 November 2000); doi: 10.1117/12.407538
Show Author Affiliations
Scotty D. Craig, Univ. of Memphis (United States)
Xiangen Hu, Univ. of Memphis (United States)
Barry Gholson, Univ. of Memphis (United States)
William Marks, Univ. of Memphis (United States)
Arthur C. Graesser, Univ. of Memphis (United States)


Published in SPIE Proceedings Vol. 4126:
Integrated Command Environments
Patricia Hamburger, Editor(s)

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