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Markov Analysis of Students’ Performance and Academic Progress in Higher Education

Author

Listed:
  • Brezavšček Alenka
  • Baggia Alenka

    (University of Maribor, Faculty of Organizational Sciences, Kidričeva cesta 55a, 4000 Kranj, Slovenia)

  • Bach Mirjana Pejić

    (University of Zagreb, Faculty of Economics and Business, Trg J.F. Kennedyja 6, 10000 Zagreb, Croatia)

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.

Suggested Citation

  • Brezavšček Alenka & Baggia Alenka & Bach Mirjana Pejić, 2017. "Markov Analysis of Students’ Performance and Academic Progress in Higher Education," Organizacija, Sciendo, vol. 50(2), pages 83-95, May.
    • Handle: RePEc:vrs:organi:v:50:y:2017:i:2:p:83-95:n:1
    DOI: 10.1515/orga-2017-0006
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    References listed on IDEAS

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    1. F. Crippa & M. Mazzoleni & M. Zenga, 2016. "Departures from the formal of actual students' university careers: an application of non-homogeneous fuzzy Markov chains," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 16-30, January.
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