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Tutorial Dialogue Modes in a Large Corpus of Online Tutoring Transcripts

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Artificial Intelligence in Education (AIED 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

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Abstract

Building on previous work in this area, we provide a description and justification for a new way of identifying modes and mode switches in tutorial dialogues, part of a coding scheme involving 16 modes and 125 distinct dialogue acts. We also present preliminary results from an analysis of 1,438 human-annotated transcripts, consisting of more than 90,000 turns. Among other findings, this analysis shows subtle differences in the “mode architecture” of successful vs. less successful sessions, as judged by expert tutors.

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References

  1. Cade, W.L., Copeland, J.L., Person, N.K., D’Mello, S.K.: Dialogue modes in expert tutoring. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 470–479. Springer, Heidelberg (2008)

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  5. Morrison, D.M., Nye, B., Samei, B., Datla, V.V., Kelly, C., Rus, V.: Building an intelligent PAL from the Tutor. com session database-phase 1: data mining. In: Proceedings of the 7th International Conference on Educational Data Mining, pp. 335–336, July 2014

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Authors and Affiliations

  1. Institute for Intelligent Systems, University of Memphis, Memphis, Tennessee, USA

    Donald M. Morrison, Benjamin Nye & Vasile Rus

  2. Tutor.com, New York, USA

    Sarah Snyder, Jennifer Boller & Kenneth Miller

Authors
  1. Donald M. Morrison
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  2. Benjamin Nye
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  3. Vasile Rus
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  4. Sarah Snyder
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  5. Jennifer Boller
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  6. Kenneth Miller
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Corresponding author

Correspondence to Donald M. Morrison .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, British Columbia, Canada

    Cristina Conati

  2. Computer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

    Neil Heffernan

  3. Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand

    Antonija Mitrovic

  4. E.T.S.I. Informática, Universidad National de Educacion a Distancia, Madrid, Spain

    M. Felisa Verdejo

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© 2015 Springer International Publishing Switzerland

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Morrison, D.M., Nye, B., Rus, V., Snyder, S., Boller, J., Miller, K. (2015). Tutorial Dialogue Modes in a Large Corpus of Online Tutoring Transcripts. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_101

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  • DOI: https://doi.org/10.1007/978-3-319-19773-9_101

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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