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Emotions during learning: The first steps toward an affect sensitive intelligent tutoring system
PROCEEDINGS

, , University of Memphis, United States ; , , , , Univerisity of Memphis, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Washington, DC, USA ISBN 978-1-880094-54-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

In an attempt to discover links between learning and emotions, this study adopted an emote-aloud procedure in which participants were recorded as they verbalized their affective states while interacting with an intelligent tutoring system, AutoTutor. Participants' facial expressions were coded using the Facial Action Coding System and analyzed using association rule mining techniques. The resulting rules are discussed along with implications for the larger project of improving the AutoTutor system into a non-intrusive affect-sensitive intelligent tutoring system.

Citation

Craig, S., D’Mello, S., Gholson, B., Witherspoon, A., Sullins, J. & Graesser, A. (2004). Emotions during learning: The first steps toward an affect sensitive intelligent tutoring system. In J. Nall & R. Robson (Eds.), Proceedings of E-Learn 2004--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 264-268). Washington, DC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved September 16, 2019 from .

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