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Recomendação de conteúdo personalizada com base em estilos de aprendizagem: uma abordagem prática

2015; Volume: 23; Issue: 03 Linguagem: Inglês

10.5753/rbie.2015.23.03.12

2317-6121

Fabiano Dorça, Daniel Teixeira Resende,

Online Learning and Analytics

Content adaptation in educational systems is a research area in full expansion. This is explained by studies showing that students tend to have better performances when the content delivery is customized. In this context, student's learning styles should be considered, due to the importance of this feature to the adaptivity process in such systems. Thus, this work presents an efficient approach for personalization of the teaching process based on learning styles. Our approach is based on the automatic mapping of student's learning styles into learning objects metadata. Promising results have been obtained through experiments, which are presented in this paper.