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Predicting student performance using decision trees (CROSBI ID 590311)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Dragičević, Mladen ; Pejić Bach, Mirjana ; Šimičević, Vanja Predicting student performance using decision trees // Proceedings of the IBC 2012 Internet & Business Conference / Ivkovic, Miodrag ; Šimičević. Vanja ; Pejić Bach, Mirjana (ur.). Zagreb: BIT udruga, 2012. str. 186-191

Podaci o odgovornosti

Dragičević, Mladen ; Pejić Bach, Mirjana ; Šimičević, Vanja

engleski

Predicting student performance using decision trees

The purpose of this paper is to develop models that would enable predicting student success. These models could improve allocation of students among colleges and optimize the newly introduced model of government subsidies for higher education. For the purpose of collecting data, an anonymous survey was carried out on the last year of undergraduate degree student population using random sampling method. Decision trees were created of which two have been chosen that were most successful in predicting student success based on two criteria: Grade Point Average (GPA) and time that a student needs to finish the undergraduate program (time-to-degree). Decision trees have been shown as a good method of classification student success and they could be even more improved by increasing survey sample and developing specialized decision trees for each type of college. These types of methods have a big potential for usage in decision support systems.

knowledge discovery in databases ; data mining ; student success ; prediction models ; evaluation of models ; classification

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Podaci o prilogu

186-191.

2012.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the IBC 2012 Internet & Business Conference

Ivkovic, Miodrag ; Šimičević. Vanja ; Pejić Bach, Mirjana

Zagreb: BIT udruga

Podaci o skupu

IBC 2012 Internet & Business Conference

predavanje

27.06.2012-28.06.2012

Rovinj, Hrvatska

Povezanost rada

Ekonomija, Informacijske i komunikacijske znanosti