Regras para formação de grupos de colaboração utilizando detecção automática de traços de personalidade
DOI:
https://doi.org/10.5753/rbie.2020.28.0.273Keywords:
Modelo Big Five, traços de personalidade, formação de grupo, aprendizagem colaborativaAbstract
A formação de grupos é um aspecto crucial da aprendizagem colaborativa. Devido à falta de interação entre os alunos, essa tarefa torna-se complexa, e ferramentas que ajudam a determinar grupos para o trabalho colaborativo são necessárias. Propostas para detectar traços de personalidade e formar grupos, baseadas no modelo Big Five, foram desenvolvidas. Entretanto, esses trabalhos não apresentam regras para formação de grupos. Assim, este trabalho verifica a viabilidade de detectar automaticamente traços de personalidade através de textos escritos, e demonstra a influência desses traços na formação do grupo, identificando um conjunto de regras para este fim. Além disso, este artigo é um esforço conjunto de dois grupos de pesquisa para identifica algoritmos adequados para detecção de traços de personalidade a partir de textos. As regras de agrupamento foram extraídas a partir de base de dados dos grupos construída, a fim de ajudar na formação de novos grupos. Portanto, as contribuições desta pesquisa foram ferramentas para detecção automática de traços de personalidade a partir de textos, identificação de algoritmos de aprendizagem mais adequados para classificação de traços, base de dados de grupos e um conjunto de regras baseadas em traços e outros parâmetros para formação de grupos.
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Copyright (c) 2020 Taís Borges Ferreira, José Antonio Buiar, Márcia Aparecida Fernandes, Andrey Ricardo Pimentel, Luiz Eduardo S. Oliveira
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