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IJIET 2017 Vol.7(5): 319-323 ISSN: 2010-3689
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, and 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.

Index Terms—Algorithms, data mining, education, methods, exploratory research.

A. Castro is with the Federal Institute of Tocantins (IFTO), CO 77.950-000 Brazil (e-mail: audioespacial@gmail.com).
L. Garcia, D. Prata, M. Lisboa, and M. Prata are with the Federal University of Tocantins (UFT), CO 77.001-009 Brazil (e-mails: lggarcia@mail.uft.edu.br, ddnprata@uft.edu.br, marcelolisboarocha@yahoo.com.br, pratamonica7@gmail.com).

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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.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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