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Published in:
2017 | OriginalPaper | Chapter
A Fuzzy-Based Multi-agent Model for Group Formation in Collaborative Learning Environments
Authors : Sebastián Torres, Oscar M. Salazar, Demetrio A. Ovalle
Published in: Methodologies and Intelligent Systems for Technology Enhanced Learning
Publisher: Springer International Publishing
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Abstract
Group formation is one of the key stages in a Computer Supported Collaborative Learning (CSCL) process since each organized group should be composed of adequate individuals that perform good interaction and contribute to the group’s goals. Team members use their capabilities and strengths always in order to achieve satisfactory learning results from efficient collaborative work. The aim of this paper is to propose a fuzzy-based Multi-Agent Model for group formation based on nine roles defined by Belbin typology using the strengths and ideal responsibilities for each team member role. To better balance different working groups based on existing roles we use a fuzzy logic approach that allows classifying the role performance of each individual into the group. In order to validate the proposed model a prototype was built and tested through a case study. Results obtained demonstrate the effectiveness of this approach to group formation stage for CSCL environments, which constitutes an attempt to improve learning processes.