Um Modelo para Auxiliar a Descoberta e Classificação de Conteúdo para Ambientes Virtuais de Aprendizagem

Abstract

The massive amount of information currently available on the Internetmakes it difficult for teachers to curate quality educationalcontent or to select material for self-regulated study by students.Aiming to facilitate these steps in the teaching and/or learningprocess this article presents an approach to assist the discovery ofeducational content from the hybrid recommendation system andlater classification from the feedback evaluation with sentimentanalysis techniques trained with the Re-Li corpus. This paper describesthe proposed model, the implementation of a prototype andits application in non-formal training involving 13 participants.