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dc.contributor.author
Diaz Pace, Jorge Andres
dc.contributor.author
Balmaceda, José María
dc.contributor.author
Schiaffino, Silvia Noemi
dc.date.available
2016-07-29T15:01:22Z
dc.date.issued
2014-03
dc.identifier.citation
Diaz Pace, Jorge Andres; Balmaceda, José María; Schiaffino, Silvia Noemi; Using constraint satisfaction to aid group formation in CSCL; Asociación Española para la Inteligencia; Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence; 17; 53; 3-2014; 35-45
dc.identifier.issn
1137-3601
dc.identifier.uri
http://hdl.handle.net/11336/6793
dc.description.abstract
In computer-supported collaborative learning contexts, group formation is a key aspect, since different characteristics of students might influence the group performance. In this article, we present an intelligent assistant that models group formation as a weighted constraint satisfaction problem (WCSP). The assistant takes into account three students´ features, namely: psychological styles, team roles and social networks. The proposed WCSP approach is able to combine constraints and preferences both for individuals and groups. The main goal of the assistant is to aid teachers to form learning groups considering factors such as team role balance and distribution of psychological styles. We also describe a pilot study to evaluate our proposal in different scenarios.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Asociación Española para la Inteligencia
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Computer-Supported Collaborative Learning
dc.subject
Group Formation
dc.subject
Constraint Satisfaction
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Using constraint satisfaction to aid group formation in CSCL
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-07-28T18:33:24Z
dc.identifier.eissn
1988-3064
dc.journal.volume
17
dc.journal.number
53
dc.journal.pagination
35-45
dc.journal.pais
España
dc.journal.ciudad
Valencia
dc.description.fil
Fil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.description.fil
Fil: Balmaceda, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.description.fil
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.journal.title
Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://polar.lsi.uned.es/revista/index.php/ia/article/view/1054/844
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/purl/http://www.redalyc.org/articulo.oa?id=92530455005


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