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 proceeding

6 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 Sep 201313 Sep 2013
Conference number: 8
http://hais13.usal.es/

Conference

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

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Education
Students

Cite this

Alberola, J. M., Val, E. D., Sánchez-Anguix, V., & Julian, V. (2013). Simulating a collective intelligence approach to student team formation. In J-S. Pan, M. M. Polycarpou, M. Woźniak, A. C. P. L. F. de Carvalho, H. Quintián, & E. Corchado (Eds.), 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings (Vol. 8073, pp. 161-170). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-40846-5_17

Simulating a collective intelligence approach to student team formation. / Alberola, Juan Miguel; Val, Elena Del; Sánchez-Anguix, Victor; Julian, Vicente.

8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings. ed. / Jeng-Shyang Pan; Marios M. Polycarpou; Michał Woźniak; André C. P. L. F. de Carvalho; Héctor Quintián; Emilio Corchado. Vol. 8073 Heidelberg : Springer, 2013. p. 161-170.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Alberola, JM, Val, ED, Sánchez-Anguix, V & Julian, V 2013, Simulating a collective intelligence approach to student team formation. in J-S Pan, MM Polycarpou, M Woźniak, ACPLF de Carvalho, H Quintián & E Corchado (eds), 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings. vol. 8073, Springer, Heidelberg, pp. 161-170, 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS), Salamanca, Spain, 11/09/13. https://doi.org/10.1007/978-3-642-40846-5_17
Alberola JM, Val ED, Sánchez-Anguix V, Julian V. Simulating a collective intelligence approach to student team formation. In Pan J-S, Polycarpou MM, Woźniak M, de Carvalho ACPLF, Quintián H, Corchado E, editors, 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings. Vol. 8073. Heidelberg: Springer. 2013. p. 161-170 https://doi.org/10.1007/978-3-642-40846-5_17
Alberola, Juan Miguel ; Val, Elena Del ; Sánchez-Anguix, Victor ; Julian, Vicente. / Simulating a collective intelligence approach to student team formation. 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS) Proceedings. editor / Jeng-Shyang Pan ; Marios M. Polycarpou ; Michał Woźniak ; André C. P. L. F. de Carvalho ; Héctor Quintián ; Emilio Corchado. Vol. 8073 Heidelberg : Springer, 2013. pp. 161-170
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