Preliminary communication

USING ARTIFICIAL NEURAL NETWORK TO PREDICT PROFESSIONAL MOVEMENTS OF GRADUATES

Zoran Miljkovic ; University of Belgrade - Faculty of Mechanical Engineering, Serbia
Milica Gerasimovic ; Institute for Improvement of Education, Belgrade, Serbia
Ljiljana Stanojevic ; Faculty of International Economics, Megatrend university, Belgrade, Serbia
Ugljesa Bugaric ; University of Belgrade - Faculty of Mechanical Engineering, Serbia

Abstract

Aim of this paper is to examine the possibility of predicting professional choice of secondary school graduates by using artificial neural network for the needs of enrolment policy planning at the Faculty of Mechanical Engineering in Belgrade. The problem of professional choices prediction for graduates has been carried out on the sample of 119 graduates from two Belgrade vocational schools. Factors influencing professional choice of secondary school students grouped in twelve input variables proved to be as suitable for predicting professional movements of graduates. Results of this research represent the base for the further researches aiming to improve the Faculty enrolment policy.

Keywords

predictive techniques; faculty enrolment policy; prediction of professional choice

Hrčak ID:

77301

URI

https://hrcak.srce.hr/77301

Publication date:

21.12.2011.

Article data in other languages: croatian

Visits: 1.302 *