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Using natural language processing to analyze tutorial dialogue corpora across domains modalities

Litman, D and Moore, J and Dzikovska, MO and Farrow, E (2009) Using natural language processing to analyze tutorial dialogue corpora across domains modalities. In: UNSPECIFIED.

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Our research goal is to investigate whether previous findings and methods in the area of tutorial dialogue can be generalized across dialogue corpora that differ in domain (mechanics versus electricity in physics), modality (spoken versus typed), and tutor type (computer versus human). We first present methods for unifying our prior coding and analysis methods. We then show that many of our prior findings regarding student dialogue behaviors and learning not only generalize across corpora, but that our methodology yields additional new findings. Finally, we show that natural language processing can be used to automate some of these analyses. © 2009 The authors and IOS Press. All rights reserved.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Litman, Ddlitman@pitt.eduDLITMAN
Moore, J
Dzikovska, MO
Farrow, E
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 1 January 2009
Date Type: Publication
Journal or Publication Title: Frontiers in Artificial Intelligence and Applications
Volume: 200
Number: 1
Page Range: 149 - 156
Event Type: Conference
DOI or Unique Handle: 10.3233/978-1-60750-028-5-149
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
ISBN: 9781607500285
ISSN: 0922-6389
Date Deposited: 21 Nov 2014 20:46
Last Modified: 02 Feb 2019 15:59


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