The application of information technologies in the analysis and prediction of students' success
Keywords:information technology, higher education, data mining, analysis, prediction of students' success
AbstractThe 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.
How to Cite
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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