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Jorge Luis C. Ramos, Laís Fernanda L. Santos, João C. Sedraz Silva, Rodrigo L. Rodrigues Universidade Federal do Vale do São Francisco Juazeiro BA – Brasil Universidade Federal Rural de Pernambuco Recife-PE, Brasil. Abstract. According to the Ministry of Education, in 2017, the number of students of Distance Education (EAD) was approximately 7.8 million. This large number of students results in a large volume of data, which is stored in virtual learning environments, which have databases with relevant records of the educational context. Thus, with the application of educational data mining techniques, this work identified profiles of students of courses offered in the distance modality by Universidade Federal do Vale do São Francisco. It was possible to observe the distribution of clusters with Low, Medium and High Interaction as the main profile of the students. From this, it was possible to extract new knowledge that could contribute to the improvement of this modality in the institutions.

Identificação de perfis de interação de estudantes de educação a distância por meio de técnicas de agrupamentos