Classification and profiles of students based on their motivations concerning higher education

Author

Habus-Korbar, Anja ; Tepic, Natasa ; Culig, Benjamin ; Luzar-Stiffler, Vesna

Author_Institution

Nat. Center for External Evaluation of Educ. (NCEEE), Zagreb, Croatia

fYear

2011

fDate

27-30 June 2011

Firstpage

23

Lastpage

28

Abstract

Cluster analysis was used to create segments of high school graduates based on their motivations/opinions regarding their future education. Data for this study were collected using a questionnaire distributed to high school graduates following State Matura exam. The students were asked to evaluate the importance of 13 different reasons/causes for choosing the faculty selected as their first choice. The analysis yielded five meaningful clusters of students that differ not only in motivations but also in achievement on State Matura exams and in their preference regarding the scientific field of their future study.

Keywords

educational administrative data processing; further education; human factors; pattern classification; pattern clustering; State Matura exam; cluster analysis; future education; high school graduates; higher education; motivations; student classification; student profiles; Clustering algorithms; Educational institutions; Instruments; Monte Carlo methods; Scholarships; Synthetic aperture sonar; NCEEE; State Matura; cluster analysis; education; motivation; students; university;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology Interfaces (ITI), Proceedings of the ITI 2011 33rd International Conference on

Conference_Location

Dubrovnik

ISSN

1330-1012

Print_ISBN

978-1-61284-897-6

Electronic_ISBN

1330-1012

Type

conf

Filename

5973989