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 proceedingChapter

4 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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    Alberola, J. M., del Val, E., Sanchez-Anguix, V., & Julián, V. (2016). A General Framework for Testing Different Student Team Formation Strategies. In M. Caporuscio, F. De la Prieta, T. Di Mascio, R. Gennari, J. Gutiérrez Rodríguez, & P. Vittorini (Eds.), Methodologies and Intelligent Systems for Technology Enhanced Learning, 6th International Conference (Vol. II, pp. 23-31). Switzerland: Springer Verlag. https://doi.org/10.1007/978-3-319-40165-2_3