Using constraint satisfaction to aid group formation in CSCL

• Autores: Jose Balmaceda, Silvia Schiaffino, Andrés Díaz Pace
• Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 17, Nº. 53, 2014 (Ejemplar dedicado a: XIV Argentine Symposium on Artificial Intelligence), págs. 35-45
• Idioma: inglés
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• Resumen

  • 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 student's 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.