Simulating Human Tutor Dialog Moves in AutoTutor - Archive ouverte HAL Access content directly
Journal Articles International Journal of Artificial Intelligence in Education Year : 2003

Simulating Human Tutor Dialog Moves in AutoTutor

(1) , (2) , (2) , (2)
1
2

Abstract

This purpose of this paper is to show how prevalent features of successful human tutoring interactions can be integrated into a pedagogical agent, AutoTutor. AutoTutor is a fully automated computer tutor that responds to learner input by simulating the dialog moves of effective, normal human tutors. AutoTutorâs delivery of dialog moves is organized within a 5-step framework that is unique to normal human tutoring interactions. We assessed AutoTutorâs performance as an effective tutor and conversational partner during tutoring sessions with virtual students of varying ability levels. Results from three evaluation cycles indicate the following: (1) AutoTutor is capable of delivering pedagogically effective dialog moves that mimic the dialog move choices of human tutors, and (2) AutoTutor is a reasonably effective conversational partner. (http://aied.inf.ed.ac.uk/members01/archive/vol_12/person/full.html)
Fichier principal
Vignette du fichier
person01.pdf (105.96 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00197320 , version 1 (14-12-2007)

Identifiers

  • HAL Id : hal-00197320 , version 1

Cite

Natalie K. Person, Arthur C. Graesser, Roger J. Kreuz, Victoria Pomeroy. Simulating Human Tutor Dialog Moves in AutoTutor. International Journal of Artificial Intelligence in Education, 2003, 12, pp.23-39. ⟨hal-00197320⟩

Collections

TELEARN TICE TEL
253 View
738 Download

Share

Gmail Facebook Twitter LinkedIn More