Mineração de dados educacionais em um mooc brasileiro

Autores

  • Vanessa Faria Souza Universidade Federal do Rio Grande do Sul (UFRGS)

DOI:

https://doi.org/10.30612/eadtde.v8i10.11461

Palavras-chave:

Mineração de Dados Educacionais. MOOCs.

Resumo

No contexto atual da educação a distância, os Learning Management System (LMS) permitem o armazenamento de grande volume de dados sobre as atividades realizadas e para compreender a respeito do padrão de comportamento dos alunos nesse ambiente é preciso que os educadores e gestores repensem as abordagens tradicionais de análise desses dados, sendo essencial a utilização de soluções computacionais apropriadas, como a Mineração de Dados Educacionais (MDE). Este tem como objetivo a aplicação de algoritmos de MDE e análise dos resultados de um MOOC brasileiro com 702 alunos. Como resultados apresenta-se o tipo de atributo que contribuiu de maneira mais significativa para conclusão dos alunos e o padrão de comportamento de grupos de alunos que desistem.

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Publicado

2020-12-11

Como Citar

Souza, V. F. (2020). Mineração de dados educacionais em um mooc brasileiro. EaD & Tecnologias Digitais Na Educação, 8(10), 62–78. https://doi.org/10.30612/eadtde.v8i10.11461

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