Uma Abordagem Híbrida Apoiada por Algoritmo Bioinspirado e Tecnologias de Web Semântica para Recomendação Personalizada de Objetos de Aprendizagem

• Cleon Xavier Pereira Júnior Universidade Federal de Uberlândia / Instituto Federal Goiano http://orcid.org/0000-0002-7617-5283
• Rafael Dias Araújo Universidade Federal de Uberlândia https://orcid.org/0000-0003-0545-2519
• Fabiano Azevedo Dorça Universidade Federal de Uberlândia https://orcid.org/0000-0003-3281-0246

DOI: https://doi.org/10.5753/cbie_estendido.2022.226549

Resumo

Este trabalho apresenta uma abordagem que faz uso de tecnologias de Web Semântica e um algoritmo bioinspirado para realizar recomendação personalizada de Objetos de Aprendizagem (OA). Diferente de abordagens já propostas, esta pesquisa combina repositórios de Ambiente Virtual de Aprendizagem (AVA) e materiais disponibilizados na Web (Youtube e Wikipedia), estruturados em formato de OA, com o propósito de cobrir tópicos de um determinado conteúdo com materiais em formatos distintos. Foram realizados experimentos distintos sendo que o principal experimento considerou três processos de recomendação na intenção de observar possibilidades de preferências. A média geral da avaliação da recomendação foi relativamente melhor desconsiderando o uso dos estilos de aprendizagem, porém não houve significância estatística.

Palavras-chave: Objetos de Aprendizagem, Recomendação, Personalização, Algoritmo Bioinspirado, Web Semântica

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