Identification and systematization of indicatives and data mining techniques for detecting evasion in distance education

Abstract

This article presents a survey of the factors that indicate evasion in distance education, as well as the data mining techniques that are being used in the detection of evasion. As a methodology, we have used the systematic review, analyzing the works published in the last five years. The result indicated that there are multiple factors that influence evasion, which were systematized in four dimensions, being related to the students, the institution, the teachers and external factors.