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Pregled bibliografske jedinice broj: 886738

Markov analysis of students’ performance and academic progress in higher education


Brezavšček, Alenka; Pejić Bach, Mirjana; Baggia, Alenka
Markov analysis of students’ performance and academic progress in higher education // Organizacija, 50 (2017), 2; 83-95 doi:10.1515/orga-2017-0006 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 886738 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Markov analysis of students’ performance and academic progress in higher education

Autori
Brezavšček, Alenka ; Pejić Bach, Mirjana ; Baggia, Alenka

Izvornik
Organizacija (1318-5454) 50 (2017), 2; 83-95

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
higher education ; study programme ; effectiveness indicators ; enrolment prediction ; Markov analyses ; absorbing Markov chain

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Mirjana Pejić Bach (autor)

Poveznice na cjeloviti tekst rada:

doi www.degruyter.com www.degruyter.com

Citiraj ovu publikaciju:

Brezavšček, Alenka; Pejić Bach, Mirjana; Baggia, Alenka
Markov analysis of students’ performance and academic progress in higher education // Organizacija, 50 (2017), 2; 83-95 doi:10.1515/orga-2017-0006 (podatak o recenziji nije dostupan, članak, znanstveni)
Brezavšček, A., Pejić Bach, M. & Baggia, A. (2017) Markov analysis of students’ performance and academic progress in higher education. Organizacija, 50 (2), 83-95 doi:10.1515/orga-2017-0006.
@article{article, author = {Brezav\v{s}\v{c}ek, Alenka and Peji\'{c} Bach, Mirjana and Baggia, Alenka}, year = {2017}, pages = {83-95}, DOI = {10.1515/orga-2017-0006}, keywords = {higher education, study programme, effectiveness indicators, enrolment prediction, Markov analyses, absorbing Markov chain}, journal = {Organizacija}, doi = {10.1515/orga-2017-0006}, volume = {50}, number = {2}, issn = {1318-5454}, title = {Markov analysis of students’ performance and academic progress in higher education}, keyword = {higher education, study programme, effectiveness indicators, enrolment prediction, Markov analyses, absorbing Markov chain} }
@article{article, author = {Brezav\v{s}\v{c}ek, Alenka and Peji\'{c} Bach, Mirjana and Baggia, Alenka}, year = {2017}, pages = {83-95}, DOI = {10.1515/orga-2017-0006}, keywords = {higher education, study programme, effectiveness indicators, enrolment prediction, Markov analyses, absorbing Markov chain}, journal = {Organizacija}, doi = {10.1515/orga-2017-0006}, volume = {50}, number = {2}, issn = {1318-5454}, title = {Markov analysis of students’ performance and academic progress in higher education}, keyword = {higher education, study programme, effectiveness indicators, enrolment prediction, Markov analyses, absorbing Markov chain} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)


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  • SCOPUS


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