Systematic map and review of Google Classroom usage during the Covid-19 pandemic: an analysis by data clustering approach
DOI:
https://doi.org/10.5753/rbie.2022.2204Keywords:
Google Sala de Aula, Sistema de Gerenciamento da Aprendizagem, Aprendizado de Máquina, Agrupamento de Dados, Pandemia Covid-19, Revisão Sistemática da LiteraturaAbstract
A pandemia da Covid-19 trouxe alterações na vida das pessoas e em diversos setores da economia, incluindo o setor da educação. No entanto, mesmo distantes, alunos e professores puderam por meio de tecnologias digitais continuar suas atividades acadêmicas de forma satisfatória. Muitas tecnologias digitais foram usadas para diminuir o distanciamento entre professor e aluno, mas neste trabalho, fizemos uma revisão do Google Classroom (GC), por ser uma ferramenta amplamente difundida e muito utilizada ao redor de todo o mundo. Para uma análise mais conclusiva, utilizamos uma revisão sistemática da literatura para obter artigos relevantes e os (N = 25) artigos extraídos foram agrupados por similaridade por meio de algoritmos de clusterização, para facilitar a sumarização dos dados. O melhor algoritmo de clusterização dentre os três comparados foi o k-medoids, pois gerou agrupamentos com melhor separação dos dados. Em nossa pesquisa, 56% dos artigos foram publicados em 2020 e 44% dos artigos foram publicados em 2021. A maioria das análises para a ferramenta foram positivas (72%): por se tratar de uma ferramenta com boa usabilidade com possibilidade de navegação por hiperlinks. Porém algumas fraquezas em 28% dos artigos (revisão negativa ou neutra) foram encontradas quando professores ou alunos enfrentavam instabilidade nas redes. Além disso, alguns autores apresentaram soluções para contornar o problema do uso do GC durante a pandemia, tais como, o uso de outras redes para o apoio à aprendizagem e a utilização de ferramentas que permitem comunicação síncrona entre professor e estudante.
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Copyright (c) 2022 Danielli A. Lima, Seiji Isotani
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