• Resumo

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

    Data de publicação: 04/09/2020

    ABSTRACT
    The massive amount of information currently available on the Internet
    makes it difficult for teachers to curate quality educational
    content or to select material for self-regulated study by students.
    Aiming to facilitate these steps in the teaching and/or learning
    process this article presents an approach to assist the discovery of
    educational content from the hybrid recommendation system and
    later classification from the feedback evaluation with sentiment
    analysis techniques trained with the Re-Li corpus. This paper describes
    the proposed model, the implementation of a prototype and
    its application in non-formal training involving 13 participants.

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