Naslov
Predicting student performance using decision trees

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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the IBC 2012 Internet & Business Conference / Ivkovic, Miodrag ; Šimičević. Vanja ; Pejić Bach, Mirjana - Zagreb : BIT udruga, 2012, 186-191

Skup
IBC 2012 Internet & Business Conference

Mjesto i datum
Rovinj, Hrvatska, 27.06.2012. - 28.06.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA