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

• Autores: Humberto Rodrigues Marques, Larissa Garcia Gomes, André Luiz Zambalde, Andre Grutzmann
• Localización: Teoria e Prática em Administração (TPA), ISSN-e 2238-104X, Vol. 10, Nº. 2, 2020 (Ejemplar dedicado a: Jul/Dez), págs. 42-57
• Idioma: portugués
• Títulos paralelos:
  • Educational Data Mining to Improve E-learning Management: a Systematic Literature Review
• Enlaces
  • Texto completo (pdf)
• Resumen
  • English

    Purpose: Since the mining of educational data helps to analyze the large amount of data generated by e-learning systems, improving the teaching-learning systems, the present study seeks, through a systematic literature review, to check how the topic has been, in recent years, researched. Approach: Once this context is new, emerging and dynamic and that needs analysis of its structure to understand its dynamics, difficulties and potential, this study was developed to analyze the existing structures of e-learning systems, as well as to identify how the educational data mining process can be applied in e-learning. Results: The results are divided into two parts: (i) descriptive analysis, in which the articles are presented from a bibliometric analysis, and (ii) semantic analysis, in which the articles are analyzed using the four-step model of the educational data mining process. Contributions: The results contrib-ute with practical and academic recommendations, as they present as much as the process of data min-ing interferes in the management of e-learning, as well as an overview of the existing researches, in order to know the current research of the analyzed theme.

  • português

    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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