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Who is the perfect match? Effects of algorithmic learning group formation using personality traits

Abstract

Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigated the influence of distributing two personality traits (conscientiousness and extraversion) either homogeneously or heterogeneously on subjective and objective measures of productivity, time investment, satisfaction, and performance. Results are compared to an earlier study that also included motivation and prior knowledge as criteria. We find both personality traits to enhance group satisfaction and performance when distributed heterogeneously.

Authors 4

  1. Henrik Bellhäuser corresponding Aachen

    RWTH Aachen University · Johannes Gutenberg University Mainz · Berliner Hochschule für Technik

    Affiliation as printed

    Johannes Gutenberg-Universität , Mainz , Germany

    Beuth Hochschule für Technik, Berlin, Germany

    Johannes Gutenberg-Universität, Mainz, Germany

    RWTH Aachen University, Aachen, Germany

  2. RWTH Aachen University · Johannes Gutenberg University Mainz · Berliner Hochschule für Technik

    Affiliation as printed

    Beuth Hochschule für Technik , Berlin , Germany

    Beuth Hochschule für Technik, Berlin, Germany

    Johannes Gutenberg-Universität, Mainz, Germany

    RWTH Aachen University, Aachen, Germany

  3. RWTH Aachen University · Johannes Gutenberg University Mainz · Berliner Hochschule für Technik

    Affiliation as printed

    Johannes Gutenberg-Universität , Mainz , Germany

    Beuth Hochschule für Technik, Berlin, Germany

    Johannes Gutenberg-Universität, Mainz, Germany

    RWTH Aachen University, Aachen, Germany

  4. René Röpke Aachen

    RWTH Aachen University · Johannes Gutenberg University Mainz · Berliner Hochschule für Technik

    Affiliation as printed

    RWTH Aachen University , Aachen , Germany

    Beuth Hochschule für Technik, Berlin, Germany

    Johannes Gutenberg-Universität, Mainz, Germany

    RWTH Aachen University, Aachen, Germany

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References 28