Naslov
Estimating profile of successful IT student: data mining approach

Autori
Oreški, Dijana ; Konecki, Mario ; Milić, Luka

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

Izvornik
MIPRO 2017 - 40th International Convention Proceedings / Biljanović, Petar - Rijeka, 2017, 829-833

ISBN
978-953-233-093-9

Skup
MIPRO 2017 - 40th International Convention

Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
educational data mining, academic performance, cluster analysis, educational strategy

Sažetak
The study presented in this paper aims to explore students’ characteristics and to determine student groups based on their previous education and socio-demographic characteristics. Descriptive data mining method, cluster analysis, is applied in the analysis process. Data used in the research is collected among first, second and third year IT students. Research results indicate profile of successful IT student. As such, research results provide useful insight into both micro and macro level aspects of educational process, which can benefit both students and academic institutions. Data mining has shown promising results in educational domain and a substantial potential to serve as a tool for improvement of quality in education.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA