doi: 10.18178/ijiet.2017.7.5.888
An Exploratory Study on Data Mining in Education: Practiced Algorithms and Methods
Ancelmo Castro
,
Leandro Garcia ,
David Prata ,
Marcelo Lisboa ,
Monica Prata
Abstract
The aim of this paper is to develop an exploratory research, based on articles available in scientific databases and related to the theme "Data Mining in Education” in order to ascertain which are the algorithms and methods used. The keywords used for the study were: "Data mining and education". After a process for selecting the publications related to the theme, we analyzed the methods and algorithms commonly used for these studies. Results showed the most cited databases, along the methods and algorithms practiced in Educational Data Mining field. We concluded that the decision tree was the main method applied, probably because of the graphic knowledge representation, which could help experts to better interpret the elicited evidences, and to postulate causes and effects.
Keywords
- Algorithms
- data mining
- education
- methods
- exploratory research
How to Cite
Ancelmo Castro, Leandro Garcia, David Prata, Marcelo Lisboa, and Monica Prata, "An Exploratory Study on Data Mining in Education: Practiced Algorithms and Methods," International Journal of Information and Education Technology, vol. 7, no. 5, pp. 319-323, 2017. https://doi.org/10.18178/ijiet.2017.7.5.888
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).