Paper Info
Title
Using constraint satisfaction to aid group formation in CSCL.
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 studentu0027s 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.
Year
Venue
Keywords
2014
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial
constraint satisfaction
Field
DocType
Volume
Dynamism,Transshipment,Constraint satisfaction,Data mining,Mathematical optimization,Evolutionary algorithm,Estimation of distribution algorithm,Computer science,Simulation,Crane scheduling,Optimization problem,Management system
Journal
17
Issue
Citations 
PageRank 
53
5
0.46
References 
Authors
22
3
Name
Order
Citations
PageRank
Jose Maria Balmaceda1150.95
Silvia N. Schiaffino215917.42
Jorge Andrés Díaz Pace3163.07