A General Framework for Testing Different Student Team Formation Strategies

J. M. Alberola, E. del Val, Victor Sanchez-Anguix, V. Julián

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    9 Citations (Scopus)

    Abstract

    One of the most important problems faced by teachers is grouping students into proper teams. The task is complex, as many technical and interpersonal factors could affect team dynamics, with no clear indication of which factors may be more relevant. Not only the problem is conceptually complex, but its computational complexity is also exponential, which precludes teachers from optimally applying strategies by hand. The tool presented in this paper aims to cover both gaps: first, it provides a range of grouping strategies for testing, and second, it provides artificial intelligence mechanisms that in practice tone down the computational cost of the problem.
    Original languageEnglish
    Title of host publicationMethodologies and Intelligent Systems for Technology Enhanced Learning, 6th International Conference
    EditorsMauro Caporuscio, Fernando De la Prieta, Tania Di Mascio, Rosella Gennari, Javier Gutiérrez Rodríguez, Pierpaolo Vittorini
    Place of PublicationSwitzerland
    PublisherSpringer Verlag
    Pages23-31
    VolumeII
    ISBN (Print)978-3-319-40165-2, 978-3-319-40164-5
    DOIs
    Publication statusPublished - 26 May 2016

    Bibliographical note

    The full text is not available on the repository.

    Keywords

    • Team formation
    • Teamwork
    • Education
    • Belbin
    • Myers-briggs

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