Using artificial neural networks to predict professional movements of graduates

Abstract

The aim of this paper is to examine the possibility of predicting professional choices of secondary school graduates using artificial neural networks for the needs of enrolment policy planning at the Faculty of Mechanical Engineering in Belgrade. The research on predicting professional choices of graduates has been carried out on a sample of 119 graduates from two Belgrade vocational schools. The factors influencing professional choices of secondary school students grouped as twelve input variables proved to be suitable for predicting professional movements of graduates. The results of this research represent a basis for further researches aiming to improve the Faculty enrolment policy.