Learning Analytics aplicado ao curso online da Língua Brasileira de Sinais de uma Instituição de Ensino Superior

Resumo

The objective of this article is to present the techniques of Learning Analytics applied to the online course of the Brazilian Sign Language since it has high disapproval in which undergraduate courses it is obligatory and the data for analysis is very high. For these studies, the frequency of students' access to learning objects and their grades are considered. With this data, graphs and mining classification rules are generated that produced new information assisting in the selection of the most important learning objects to learn LIBRAS in the online format.