Pregled bibliografske jedinice broj: 997081
Determinants Of Efficacy Of Studying In Republic Croatia: Comparing Neural Networks And Decision Trees : reserach framework proposition
Determinants Of Efficacy Of Studying In Republic Croatia: Comparing Neural Networks And Decision Trees : reserach framework proposition // Proceedings of the ENTRENOVA -ENTerprise REsearch InNOVAtion Conference / Baćović, Maja ; Milković, Marin ; Pejić Bach, Mirjana ; Peković, Sanja (ur.).
Zagreb: Udruga za promicanje inovacija i istraživanja u ekonomiji ''IRENET'', 2016. str. 123-129 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 997081 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Determinants Of Efficacy Of Studying In Republic Croatia: Comparing Neural Networks And Decision Trees : reserach framework proposition
Autori
Bilal Zorić, Alisa
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the ENTRENOVA -ENTerprise REsearch InNOVAtion Conference
/ Baćović, Maja ; Milković, Marin ; Pejić Bach, Mirjana ; Peković, Sanja - Zagreb : Udruga za promicanje inovacija i istraživanja u ekonomiji ''IRENET'', 2016, 123-129
Skup
ENTerprise REsearch InNOVAtion Conference
Mjesto i datum
Rovinj, Hrvatska, 08.09.2016. - 09.09.2016
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
efficacy of studying, education, neural network, decision trees
Sažetak
Rapid technological development and progress lead to the need for better and more efficient education which should prepare the applicant for increasingly flexible labor market. The goal of this research is to create models for prediction of student’s efficacy, compare them, find the key factors that contribute to more efficient studying in the Republic of Croatia, and finally determine how efficient studying is related to first employment. Models will be based on student’s data and hypothesis will be tested using multivariate statistical methods (multiple regression, Cronbach’s alpha), decision trees and neural networks. Data will be collected by structured questionnaire and will consist of demographic and economic data, information about previous education, attitudes towards learning, goals after study and informations about first employment. Student’s efficacy will be measured by grade point average in college. This research will try to increase our understanding of how different factors influence student’s performance and how student’s efficacy affects the speed and conditions of finding the first employment.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Veleučilište s pravom javnosti Baltazar Zaprešić
Profili:
Alisa Bilal Zorić
(autor)