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Title:Analiza prehodnosti na študijskih programih prve stopnje z uporabo markovskih verig
Authors:ID Stojanovič, Rok (Author)
ID Brezavšček, Alenka (Mentor) More about this mentor... New window
ID Šprajc, Polona (Comentor)
Files:.pdf UN_Stojanovic_Rok_2024.pdf (3,05 MB)
MD5: 8D3C979DDD45FE3BA52A917B0C4A1F9C
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Prehodnost študentov med letniki, trajanje študija, delež študentov, ki uspešno zaključi študij, delež takih, ki obupa ipd., so kazalniki, ki jih potrebuje vsaka izobraževalna ustanova in so osnova za uspešno upravljanje študijskih programov kakor tudi za njihov nadaljnji razvoj. Za določitev relevantnih kazalnikov študijskega programa smo uporabili markovske verige. Naš cilj je bil izdelati stohastični model, ki bi ga lahko uporabili za analizo uspešnosti študentov in njihovega akademskega napredka v slovenskem visokošolskem okolju. Na podlagi teorije markovskih verig smo razvili matematični model, ki omogoča vrednotenje in spremljanje deleža študentov, ki napredujejo skozi različne letnike študijskega programa, časa, ki ga študent preživi v posamezni fazi študija, deleža študentov, ki uspešno diplomirajo, kakor tudi deleža študentov, ki se izpišejo iz študijskega programa. Model smo uporabili na primeru visokošolskih in univerzitetnih študijskih programov, ki se izvajajo na Fakulteti za organizacijske vede Univerze v Mariboru. Vhodne podatke za matematični model smo črpali iz študentskih evidenc. Podatke smo obdelali s programom Microsoft Excel, kjer smo opravili tudi vse izračune. Rezultate smo ustrezno analizirali in interpretirali. Prav tako smo podali smernice za integracijo modela v informacijski sistem AIPS Univerze v Mariboru.
Keywords:visokošolsko izobraževanje, prehodnost študentov, sistematična analiza, markovske verige, informacijski sistem.
Place of publishing:Kranj
Year of publishing:2024
PID:20.500.12556/DKUM-90217 New window
COBISS.SI-ID:210224131 New window
Publication date in DKUM:04.10.2024
Views:152
Downloads:49
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.08.2024

Secondary language

Language:English
Title:Analysis of academic progress in undergraduate programs using markov chains
Abstract:The transition of students between years, the duration of study, the fraction of students who successfully complete their studies, the fraction of those who give up, etc. are indicators that every educational institution needs and are the basis for the successful management of the study program as well as for its further development. To determine the relevant indicators of the study program, we used Markov chains. Our goal was to create a stochastic model that could be used to analyse the performance of students and their academic progress in the Slovenian higher education environment. Based on the Markov chains theory, we have developed a mathematical model that enables the evaluation and monitoring of the fraction of students who progress through the different years of the study program, the time a student spends in each phase of the study, the fraction of students who successfully graduate, as well as the fraction of students who are withdrawn from the study program. We used the model on the example of VS and UN study programs, which are performed at the Faculty of Organizational Sciences of the University of Maribor. Input data for the mathematical model was drawn from student records. We processed the data using the Microsoft Excel, where we also performed all the calculations. The results were analysed and interpreted accordingly. We also provided guidelines for integrating the model into the AIPS information system of the University of Maribor.
Keywords:higher education, transfer of students, systematic analysis, Markov chains, information system.


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