Simulating a collective intelligence approach to student team formation

Juan Miguel Alberola, Elena Del Val, Victor Sánchez-Anguix, Vicente Julian

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    9 Citations (Scopus)

    Abstract

    Teamwork is now a critical competence in the higher education area, and it has become a critical task in educational and management environments. Unfortunately, looking for optimal or near optimal teams is a costly task for humans due to the exponential number of outcomes. For this reason, in this paper we present a computer-aided policy that facilitates the automatic generation of near optimal teams based on collective intelligence, coalition structure generation, and Bayesian learning. We carried out simulations in hypothetic classroom scenarios that show that the policy is capable of converging towards the optimal solution as long as students do not have great difficulties evaluating others.
    Original languageEnglish
    Title of host publication8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings
    EditorsJeng-Shyang Pan, Marios M. Polycarpou, Michał Woźniak, André C. P. L. F. de Carvalho, Héctor Quintián, Emilio Corchado
    Place of PublicationHeidelberg
    PublisherSpringer
    Pages161-170
    Number of pages10
    Volume8073
    ISBN (Electronic)9783642408465
    ISBN (Print)9783642408458
    DOIs
    Publication statusPublished - 2013
    Event8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) - Salamanca, Spain
    Duration: 11 Sept 201313 Sept 2013
    Conference number: 8
    http://hais13.usal.es/

    Conference

    Conference8th International Conference on Hybrid Artificial Intelligence Systems (HAIS)
    Abbreviated titleHAIS 2013
    Country/TerritorySpain
    CitySalamanca
    Period11/09/1313/09/13
    Internet address

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