O uso de algoritmos evolutivos para a formação de grupos na aprendizagem colaborativa no contexto corporativo
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Data
2013-09-09
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Universidade Federal de Goiás
Resumo
Increasingly, learning in groups has become present in school environments. This fact is
also part of the organizations, when considers learning in the workplace. Conscious of the
importance of group learning at the workplace (CSCL@Work) emerges as an application
area. In Computer Supported Collaborative Learning(CSCL), researchers have been
struggling to maximize the performance of groups by techniques for forming groups.
Is that why this study developed three (3) algorithmic approaches to formation of intraheterogeneous
and inter-homogeneous groups, as well as a model proposed in this work
in which integrates dichotomous functional characteristics and preferred roles. We made
an algorithm that generates random groups, a Canonical Genetic Algorithm and Hybrid
Genetic Algorithm. We obtained the input data of the algorithm by a survey conducted
at the Court of the State of Goiás to identify dichotomous functional characteristics, and
after we categorize these characteristics, based on the data found and the model proposed
group formation. Starting at real data provided of employees whom participated in a
course by Distance Education (EaD), we apply the model and we obtained the input
data related to functional features. As regards the favorite roles, we assigned randomly
values to the employees aforementioned, from a statistical statement made by Belbin into
companies in the United Kingdom. Then, we executed the algorithms in three test cases,
one considering the preferred papers and functional characteristics, while the other two
separately considering each of these perspectives. Based on the results obtained, we found
that the hybrid genetic algorithm outperforms the canonical genetic algorithm and random
generator.
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Palavras-chave
Algoritmos Genéticos Híbridos , CSCL , CSCW , CSCL@Work , Meta-Heurística , Heurística , Formação de grupos , Criação do conhecimento organizacional , Algoritmos genéticos , Hybrid genetic algorithms , MetaHeuristics , Heuristic , Groups formation , Organizational knowledge creation , Genetic algorithms
Citação
CAETANO, Samuel Sabino. O uso de algoritmos evolutivos para a formação de grupos na aprendizagem colaborativa no contexto corporativo. 2013. 149 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia. 2013