| Title: | Markov analysis of studentsʼ performance and academic progress in higher education |
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| Authors: | ID Brezavšček, Alenka (Author)
ID Pejić Bach, Mirjana (Author)
ID Baggia, Alenka (Author) |
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| Files: |  Organizacija_2017_Brezavscek,_Pejic_Bach,_Baggia_Markov_Analysis_of_Students__Performance_and_Academic_Progress_in_Higher_Education.pdf (1,17 MB)
MD5: 319C4DF9899D5C78CA20E7EAC5101DF6
PID: 20.500.12556/dkum/1a93b8fb-bda3-4b0c-9b86-fa24499d2b13
 http://www.degruyter.com/view/j/orga.2017.50.issue-2/orga-2017-0006/orga-2017-0006.xml
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FOV - Faculty of Organizational Sciences in Kranj
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| Abstract: | Background: The students’ progression towards completing their higher education degrees possesses stochastic characteristics, and can therefore be modelled as an absorbing Markov chain. Such application would have a high practical value and offer great opportunities for implementation in practice.
Objectives: The aim of the paper is to develop a stochastic model for estimation and continuous monitoring of various quality and effectiveness indicators of a given higher education study programme.
Method: The study programme is modelled by a finite Markov chain with five transient and two absorbing states. The probability transition matrix is constructed. The quantitative characteristics of the absorbing Markov chain, like the expected time until absorption and the probabilities of absorption, are used to determine chosen indicators of the programme.
Results: The model is applied to investigate the pattern of students’ enrolment and their academic performance in a Slovenian higher education institution. Based on the students’ intake records, the transition matrix was developed considering eight consecutive academic seasons from 2008/09 until 2016/17. The students’ progression towards the next stage of the study programme was estimated. The expected time that a student spends at a particular stage as well as the expected duration of the study is determined. The graduation and withdrawal probabilities were obtained. Besides, a prediction on the students’ enrolment for the next three academic years was made. The results were interpreted and discussed.
Conclusion: The analysis presented is applicable for all higher education stakeholders. It is especially useful for a higher education institution’s managers seeing that it provides useful information to plan improvements regarding the quality and effectiveness of their study programmes to achieve better position in the educational market. |
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| Keywords: | higher education, study programme, effectiveness indicators, enrolment prediction |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2017 |
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| Number of pages: | str. 83-96 |
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| Numbering: | Letn. 50, št. 2 |
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| PID: | 20.500.12556/DKUM-66683  |
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| ISSN: | 1318-5454 |
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| UDC: | 378 |
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| ISSN on article: | 1318-5454 |
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| COBISS.SI-ID: | 7929875 |
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| DOI: | 10.1515/orga-2017-0006 |
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| NUK URN: | URN:SI:UM:DK:3RDXO5TV |
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| Publication date in DKUM: | 06.07.2017 |
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| Views: | 1433 |
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| Downloads: | 444 |
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| Metadata: |    |
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| Categories: | Misc.
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