Análise Conversacional para Diagnosticar e Recomendar a Colaboração em Ambientes Virtuais de Aprendizagem

Resumo


Ambientes Virtuais de Aprendizagem têm sido usados para apoiar a aprendizagem colaborativa, mas determinar a colaboração entre estudantes para incentivar continuamente a aprendizagem permanece sendo uma questão desafiadora. Como a análise conversacional pode fornecer um diagnóstico do nível de colaboração entre estudantes, este artigo apresenta três índices para mensurar as interações, perguntas e tópicos relevantes nas suas conversas. Com base nesses índices, são sugeridas recomendações para estudantes e professores a fim de melhorar a colaboração. Experimentos usando fóruns de discussão do Moodle foram realizados como prova de conceito, nos quais os participantes avaliaram as recomendações, indicando que os resultados são promissores.

Palavras-chave: Análise Conversacional, Avaliação da Aprendizagem Colaborativa, Processamento de Linguagem Natural, Aprendizagem Colaborativa Apoiada por Computador, Inteligência Artificial na Educação, Tecnologia Educacional

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Publicado
16/11/2022
MORAES NETO, Antônio J.; COSTA, Newarney T.; FERNANDES, Márcia A.; AMIEL, Tel. Análise Conversacional para Diagnosticar e Recomendar a Colaboração em Ambientes Virtuais de Aprendizagem. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 33. , 2022, Manaus. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 1209-1221. DOI: https://doi.org/10.5753/sbie.2022.225776.