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

Diane Litman, Johanna D. Moore, Myroslava O. Dzikovska, Elaine Farrow

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    26 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationProceeding of the 2009 Conference on Artificial Intelligence in Education
    Subtitle of host publicationBuilding Learning Systems that Care: From Knowledge Representation to Affective Modelling
    EditorsVania Dimitrova, Riichiro Mizoguchi, Benedict du Boulay, Art Graesser
    Place of PublicationAmsterdam, The Netherlands, The Netherlands
    PublisherIOS Press
    Pages149-156
    Number of pages8
    ISBN (Electronic)978-1-60750-028-5
    DOIs
    Publication statusPublished - Jul 2009
    Event14th International Conference on Artificial Intelligence in Education - Brighton, United Kingdom
    Duration: 6 Jul 200910 Jul 2009

    Conference

    Conference14th International Conference on Artificial Intelligence in Education
    CountryUnited Kingdom
    CityBrighton
    Period6/07/0910/07/09

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  • Cite this

    Litman, D., Moore, J. D., Dzikovska, M. O., & Farrow, E. (2009). Using natural language processing to analyze tutorial dialogue corpora across domains modalities. In V. Dimitrova, R. Mizoguchi, B. du Boulay, & A. Graesser (Eds.), Proceeding of the 2009 Conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling (pp. 149-156). IOS Press. https://doi.org/10.3233/978-1-60750-028-5-149