Mineração de Dados Educacionais para Aperfeiçoamento da Gestão do E-learning: uma Revisão Sistemática de Literatura

  • Humberto Rodrigues Marques
  • Larissa Garcia Gomes
  • André Luiz Zambalde
  • André Grützmann

Resumo

Objetivo: Uma vez que a mineração de dados educacionais auxilia na análise da grande quantidade de dados que sistemas de e-learning geram, aperfeiçoando os sistemas de ensino-aprendizagem, o presente estudo procura, por meio de uma revisão sistemática de literatura, verificar como o tema está sendo abordados nas pesquisas do campo nos últimos anos. Metodologia: Dado que tal contexto é emergente, novo e dinâmico e que necessita de análises de sua estrutura para entender suas características, dificuldades e potencialidades, este estudo foi desenvolvido para analisar as estruturas existentes de sistemas de e-learning, assim como identificar como o processo de mineração de dados educacionais pode ser aplicado no ensino a distância, por meio de uma revisão sistemática de literatura. Resultados: Os resultados estão divididos em duas partes: (i) análise descritiva, em que os artigos são apresentados a partir de uma análise bibliométrica, e (ii) análise semântica, em que os artigos são analisados a partir do modelo de quatro etapas do processo de mineração de dados educacionais. Contribuições: Os resultados contribuem com recomendações práticas e acadêmicas, pois apresentam tanto como o processo de mineração de dados interfere na gestão do e-learning, bem como um panorama das pesquisas existentes, a fim de conhecer a pesquisa atual da temática analisada.

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Publicado
2020-08-07
Como Citar
Marques, H. R., Gomes, L. G., Zambalde, A. L., & Grützmann, A. (2020). Mineração de Dados Educacionais para Aperfeiçoamento da Gestão do E-learning: uma Revisão Sistemática de Literatura. TPA - Teoria E Prática Em Administração, 10(2), 42-57. https://doi.org/10.21714/2238-104X2020v10i2-48085
Seção
Dossiê (Dossier)