Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this to address different educational problems have been used. The aim of this paper is to present a review of the works in which data mining techniques were used to solve specific problems of education and to do a classification associated to diverse scenarios in which they have been applied.