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Predicting Change in Student Motivation by Measuring Cohesion Between Tutor and Student

Ward, Arthur and Litman, Diane J and Eskenazi, Maxine (2011) Predicting Change in Student Motivation by Measuring Cohesion Between Tutor and Student. In: Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications, 24 June 2011 - 24 June 2011, Portland, OR, USA.

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Abstract

We apply a previously reported measure of dialog cohesion to a corpus of spoken tutoring dialogs in which motivation was measured. We find that cohesion significantly predicts changes in student motivation, as measured with a modified MSLQ instrument. This suggests that non-intrusive dialog measures can be used to measure motivation during tutoring.

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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ward, Arthur
Litman, Diane Jdlitman@pitt.eduDLITMAN
Eskenazi, Maxine
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2011
Date Type: Publication
Journal or Publication Title: IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Publisher: Association for Computational Linguistics
Place of Publication: Stroudsburg, PA, USA
Page Range: 136 - 141
Event Title: Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Event Dates: 24 June 2011 - 24 June 2011
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Official URL: http://dl.acm.org/citation.cfm?id=2043132.2043149
Date Deposited: 21 Nov 2014 18:28
Last Modified: 31 Jul 2020 19:08
URI: http://d-scholarship.pitt.edu/id/eprint/22928

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