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Predicting Changes in Level of Abstraction in Tutor Responses to Students

Lipschultz, Michael and Litman, Diane J. and Jordan, Pamela and Katz, Ra (2011) Predicting Changes in Level of Abstraction in Tutor Responses to Students. In: Twenty-fourth International Florida Artificial Intelligence Research Society Conference, 18 May 2011 - 20 May 2011, Palm Beach, Florida, USA.

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Abstract

We examine a corpus of reflective tutorial dialogues between human tutor and student after the student completed introductory physics problems, to predict when the tutor abstracted from the student’s preceding turn or when the tutor specialized from the student’s preceding turn. Tutor abstraction occurs when the tutor repeats a segment of the student’s turn using more general terms. Tutor specialization occurs when the tutor repeats a segment of the student’s turn using more concrete terms. We find that features extracted from the reflective dialogue context produce the most predictive models. Also, the tutor abstracts more often when the student shows signs of working at a very detailed level for awhile, and prompts for specification when the student’s responses are imprecise.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lipschultz, Michaelmil28@pitt.eduMIL28
Litman, Diane J.dlitman@pitt.eduDLITMAN
Jordan, Pamelapjordan@pitt.eduPJORDAN
Katz, Ra
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2011
Date Type: Publication
Journal or Publication Title: Proceedings of the Twenty-fourth International Florida Artificial Intelligence Research Society Conference : 18-20 May 2011, Palm Beach, Florida, USA
Publisher: AAAI Publications
Place of Publication: Menlo Park, Ca
Page Range: 555 - 560
Event Title: Twenty-fourth International Florida Artificial Intelligence Research Society Conference
Event Dates: 18 May 2011 - 20 May 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
ISBN: 9781577355014
Related URLs:
Date Deposited: 13 Nov 2014 19:02
Last Modified: 01 Nov 2017 13:57
URI: http://d-scholarship.pitt.edu/id/eprint/22925

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