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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 J.dlitman@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: 01 Nov 2017 13:57
URI: http://d-scholarship.pitt.edu/id/eprint/22928

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