THE APPLICATION OF INFORMATION TECHNOLOGIES IN THE ANALYSIS AND PREDICTION OF STUDENTS' SUCCESS

Authors

  • Ljubiša Preradović University of Banja Luka, Faculty of Architecture, Civil Engineering and Geodesy, Bosnia and Herzegovina, ljubisa.preradovic@aggf.unibl.org
  • Đorđe Stojisavljević University of Banja Luka, University Computer Center, Bosnia and Herzegovina, djordje.stojisavljevic@unibl.org
  • Aleksandar Gaćina University of Banja Luka, University Computer Center, Bosnia and Herzegovina, aleksandar.gacina@unibl.org

DOI:

https://doi.org/10.7251/AGGPLUS1806028V

Keywords:

information technology, higher education, data mining, analysis, prediction of students' success

Abstract

The application of educational data mining is a new area of information technology that is expanding. Using this data mining, the analysis and development of models for student success prediction were performed based on certain factors affecting their success (success in high school, success on the entrance exam). The aim of the research is to show the extent to which success in high school and the success on the entrance exam affects the students' success during their studies at the higher education level, which is primarily reflected on grades from the core subjects and the total number of ECTS credits achieved. The study used modern software tools: RapidMiner, SPSS and MATLAB.

Published

2018-12-25

How to Cite

[1]
L. Preradović, Đorđe Stojisavljević, and A. Gaćina, “THE APPLICATION OF INFORMATION TECHNOLOGIES IN THE ANALYSIS AND PREDICTION OF STUDENTS’ SUCCESS”, AGG+, vol. 6, no. 1, pp. 028-038, Dec. 2018.

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