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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/4097

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Title: Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains and Modalities
Authors: Litman, Diane
Moore, Johanna D.
Dzikovska, Myroslava
Farrow, Elaine
Issue Date: 28-Oct-2010
Journal Title: Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED)
Abstract: 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.
Keywords: Discourse
Intelligent Tutoring
Natural Language
Tutorial Dialogue
URI: http://portal.acm.org/citation.cfm?id=1659476&dl=GUIDE,
http://hdl.handle.net/1842/4097
ISBN: 978-1-60750-028-5
Appears in Collections:Informatics Publications

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