Sistema de recomendação de recursos educacionais digitais, tendo em conta a diversidade dos estudantes

Otros responsables
Fecha
2019
Editorial
Atena
Revista
Título del libro
Estudos (Inter)Multidisciplinares nas Ciências Exatas e Tecnologias
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
eISSN
ISBN
978-85-7247-798-7
Idioma
Portugués
Tipo del evento
Clasificación temática
Resumen
A disponibilização de recursos educacionais digitais de acordo com as características de cada aluno, permite apoiar o seu processo de formação. Reconhecendo as condições e preferências quando as necessidades de educação especial são apresentadas e recomendar recursos apropriados, permite uma melhor atenção à diversidade nos ambientes educacionais. Este trabalho propõe um modelo que visa aproveitar técnicas de sistemas de recomendação baseados em conhecimento, para selecionar em repositórios de recursos educacionais, aqueles materiais com os quais um aluno pode interagir melhor de acordo com suas necessidades educacionais especiais. O modelo proposto foi implementado em ambiente real e avaliado com abordagem qualitativa através da realização de trabalho experimental com alunos com deficiência, que interagiram com os recursos educacionais digitais que foram recomendados. Os usuários avaliaram a interface, os resultados entregues, sua utilidade e satisfação com a proposta. Os resultados refletiram uma boa apreciação por parte dos alunos, mas com possibilidades de melhoria na seleção de recursos.
Deliver digital educational resources according to the characteristics of each student, supports their training process. Recognizing the conditions and preferences when special educational needs arise and recommending appropriate resources allows a better attention to diversity in educational environments. This paper proposes a model that takes advantage of knowledge-based recommendation systems to select, in repositories of educational resources; those materials with which a student can best interact according to their special educational needs. The proposed model was implemented in a real environment and evaluated with a qualitative approach through the realization of experimental work with disability students, who interacted with the digital educational resources that were recommended. The users evaluated the interface, the delivered results, the utility and the satisfaction with the proposal. The results reflected a good appreciation on the part of the students, but with possibilities of improvement in the selection of resources.
Deliver digital educational resources according to the characteristics of each student, supports their training process. Recognizing the conditions and preferences when special educational needs arise and recommending appropriate resources allows a better attention to diversity in educational environments. This paper proposes a model that takes advantage of knowledge-based recommendation systems to select, in repositories of educational resources; those materials with which a student can best interact according to their special educational needs. The proposed model was implemented in a real environment and evaluated with a qualitative approach through the realization of experimental work with disability students, who interacted with the digital educational resources that were recommended. The users evaluated the interface, the delivered results, the utility and the satisfaction with the proposal. The results reflected a good appreciation on the part of the students, but with possibilities of improvement in the selection of resources.
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