INVESTIGADORES
SCHIAFFINO silvia Noemi
artículos
Título:
Using Constraint Satisfaction to Aid Group Formation in CSCL
Autor/es:
JOSÉ MARÍA BALMACEDA; SILVIA SCHIAFFINO; JORGE ANDRES DIAZ PACE
Revista:
INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE
Editorial:
AEPIA
Referencias:
Año: 2014 vol. 17 p. 35 - 45
ISSN:
1137-3601
Resumen:
In computer-supported collaborative learning contexts, group formation is a key aspect, since di erent characteristics of students might in uence 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 di erent scenarios.
