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.