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Funkcionalne regije srednješolskega izobraževanja v Sloveniji : magistrsko delo
ID Jež, Jan (Author), ID Drobne, Samo (Mentor) More about this mentor... This link opens in a new window

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Abstract
V magistrskem delu smo modelirali in analizirali funkcionalne regije srednješolskega izobraženja v Sloveniji. Analizo smo izvedli s pomočjo tokov dijakov med občinami stalnega prebivališča in občino srednješolskega izobraževanja. Pri modeliranju funkcionalnih regij smo uporabili dve metodi; in sicer, metodi CURDS in Intramax. Prvo metodo uvrščamo med metode večstopenjskega združevanja metodo Intramax pa v skupino metod hierarhičnega razvrščanja v skupine. Analizirali smo tokove dijakov, njihovo število in število srednješolskih ustanov. Rezultate modeliranja smo grafično predstavili in primerjali po hierarhičnih ravneh ter med njimi. Izpostavili smo tipične sestave funkcionalnih regij v srednješolskem izobraževanju na makro in mezo ravneh Slovenije, ki smo jih primerjali s funkcionalnimi regijami delovne mobilnosti v Sloveniji. Rezultati študije bodo pripomogli k boljšemu razumevanju funkcionalnih regij v Sloveniji in povezavi med delovno in srednješolsko mobilnostjo.

Language:Slovenian
Keywords:funkcionalne regije, CURDS, Intramax, srednješolsko izobraževanje, Slovenija
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Place of publishing:Ljubljana
Publisher:[J. Jež]
Year:2021
PID:20.500.12556/RUL-131138 This link opens in a new window
UDC:711.13:331.556.2(043.3)
COBISS.SI-ID:77781763 This link opens in a new window
Publication date in RUL:23.09.2021
Views:978
Downloads:123
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Secondary language

Language:English
Title:Functional regions of upper secondary education in Slovenia : master thesis
Abstract:
In this thesis we modelled and analyzed the functional regions of secondary education in Slovenia. The analysis was performed using student flows between the municipalities of residence and the municipality of secondary education. In modeling functional regions, we used two methods namely the CURDS and Intramax methods. The first method is classified as a method of multi-stage aggregation, and the Intramax method is included in the group of methods of hierarchical grouping. We analyzed student flows, their number, and the number of secondary school institutions. The modeling results were graphically presented and compared by hierarchical levels and between them. We highlighted the typical composition of functional regions in secondary education at the macro and meso levels of Slovenia, which we compared with the functional regions of work mobility in Slovenia. The results of the study will contribute to a better understanding of functional regions in Slovenia.

Keywords:functional regions, CURDS, Intramax, upper secondary education

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