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Group Formation for Collaborative Learning

A Systematic Literature Review

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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 systematic literature review (SLR) that investigates group formation, as a first step towards automated group formation for collaborative learning. Out of 105 papers selected for review, after using specific selection and a quality assessment method, a final list of 21 relevant studies was selected for analysis. The review revealed the current state of the art in group formation.

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Authors and Affiliations

  1. University of Aberdeen, Aberdeen, UK

    Chinasa Odo & Nigel Beacham

  2. Utrecht University, Utrecht, The Netherlands

    Judith Masthoff

Authors
  1. Chinasa Odo
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  2. Judith Masthoff
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  3. Nigel Beacham
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Corresponding author

Correspondence to Chinasa Odo .

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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Odo, C., Masthoff, J., Beacham, N. (2019). Group Formation for Collaborative Learning. 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_39

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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