Estimating profile of successful IT student: data mining approach (CROSBI ID 649017)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Oreški, Dijana ; Konecki, Mario ; Milić, Luka
engleski
Estimating profile of successful IT student: data mining approach
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.
educational data mining, academic performance, cluster analysis, educational strategy
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
829-833.
2017.
objavljeno
Podaci o matičnoj publikaciji
MIPRO 2017 - 40th International Convention Proceedings
Biljanović, Petar
Rijeka:
978-953-233-093-9
Podaci o skupu
MIPRO 2017
predavanje
22.05.2017-26.05.2017
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti