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A. Villanueva, L.G. Moreno & M.J. Salinas 
 
Digital Education Review - Number 33, June 2018- http://greav.ub.edu/der/ 
 
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Data mining techniques applied in educational environments: 
Literature review 
Andrés Villanueva Manjarres 
[e-mail] 
Institución Universitaria Politécnico Grancolombiano 
 
Luis Gabriel Moreno Sandoval 
[e-mail] 
Institución Universitaria Politécnico Grancolombiano 
 
Martha Janneth Salinas Suárez 
[e-mail] 
Corporación Universitaria Minuto de Dios 
Abstract
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. 
Keywords
Educational data mining; Data mining; Clustering; Decision trees; Knowledge discovery. 
 
 
 
 
 

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Data mining techniques applied in educational environments: Literature review 
A. Villanueva, L.G. Moreno & M.J. Salinas 
Digital Education Review - Number 33, June 2018- http://greav.ub.edu/der/