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Dialogue Analysis to Inform the Development of a Natural-language Tutoring System for Physics

Katz, Sandra and Jordan, Pamela and Albacete, Patricia and Litman, Diane J (2011) Dialogue Analysis to Inform the Development of a Natural-language Tutoring System for Physics. In: SemDial 2011, 21 September 2011 - 23 September 2011, Los Angeles, USA.

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Several cognitive scientists attribute the effectiveness of tutorial dialogue to its interactive nature. Although this view has empirical support, the notion of ―interactivity‖ is too vague to guide the development of natural-language tutorial dialogue systems. This paper describes our attempts to operationalize particular forms of interactivity: tutor abstraction and specification of student dialogue moves, and tutor prompts for specification. We describe and illustrate the process by which we specified decision rules for abstraction and specification in automated tutorial dialogues about physics. Correlational analyses suggest that particular types of interactive abstraction and specification relations predict student learning, as measured by pretest to posttest gain score—for example, tutor prompts for the student to specify the individual forces that comprise the net force. Since particular kinds of abstraction and specification relations are associated with particular decision rules, these findings are guiding our selection of rules to implement in a tutorial dialogue system for physics


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Item Type: Conference or Workshop Item (Paper)
CreatorsEmailPitt UsernameORCID
Katz, Sandrakatz@pitt.eduKATZ
Jordan, Pamelapjordan@pitt.eduPJORDAN
Albacete, Patriciapalbacet@pitt.eduPALBACET
Litman, Diane Jdlitman@pitt.eduDLITMAN
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2011
Date Type: Publication
Journal or Publication Title: SemDial 2011: Proceedings of the 15th Workshop on the Semantics and Pragmatics of Dialogue
Page Range: 167 - 175
Event Title: SemDial 2011
Event Dates: 21 September 2011 - 23 September 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
ISSN: 2308-2275
Related URLs:
Date Deposited: 17 Nov 2014 17:24
Last Modified: 09 Oct 2020 12:55


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