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Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

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Abstract

This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to scaffold collaboration within online learning groups.

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Notes

  1. 1.

    For complete group discourse see colab-learn.herokuapp.com/modelVS/groupX.php replacing X with the group number.

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Author information

Authors and Affiliations

  1. University of Aberdeen, Aberdeen, UK

    Adetunji Adeniran & Nigel Beacham

  2. Utrecht University, Utrecht, The Netherlands

    Judith Masthoff

Authors
  1. Adetunji Adeniran
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  2. Judith Masthoff
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  3. Nigel Beacham
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Corresponding author

Correspondence to Adetunji Adeniran .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Adeniran, A., Masthoff, J., Beacham, N. (2019). Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

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