Using artificial neural networks to predict professional movements of graduates
Апстракт
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.
Кључне речи:
predictive techniques / prediction of professional choice / faculty enrolment policyИзвор:
Croatian Journal of Education, 2011, 13, 3, 117-141Издавач:
- Facteachereducation
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Miljković, Zoran AU - Gerasimović, Milica AU - Stanojević, Ljiljana AU - Bugarić, Uglješa PY - 2011 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1284 AB - 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. PB - Facteachereducation T2 - Croatian Journal of Education T1 - Using artificial neural networks to predict professional movements of graduates EP - 141 IS - 3 SP - 117 VL - 13 UR - https://hdl.handle.net/21.15107/rcub_machinery_1284 ER -
@article{ author = "Miljković, Zoran and Gerasimović, Milica and Stanojević, Ljiljana and Bugarić, Uglješa", year = "2011", 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.", publisher = "Facteachereducation", journal = "Croatian Journal of Education", title = "Using artificial neural networks to predict professional movements of graduates", pages = "141-117", number = "3", volume = "13", url = "https://hdl.handle.net/21.15107/rcub_machinery_1284" }
Miljković, Z., Gerasimović, M., Stanojević, L.,& Bugarić, U.. (2011). Using artificial neural networks to predict professional movements of graduates. in Croatian Journal of Education Facteachereducation., 13(3), 117-141. https://hdl.handle.net/21.15107/rcub_machinery_1284
Miljković Z, Gerasimović M, Stanojević L, Bugarić U. Using artificial neural networks to predict professional movements of graduates. in Croatian Journal of Education. 2011;13(3):117-141. https://hdl.handle.net/21.15107/rcub_machinery_1284 .
Miljković, Zoran, Gerasimović, Milica, Stanojević, Ljiljana, Bugarić, Uglješa, "Using artificial neural networks to predict professional movements of graduates" in Croatian Journal of Education, 13, no. 3 (2011):117-141, https://hdl.handle.net/21.15107/rcub_machinery_1284 .