An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning

The Markov chain (MC) technique is used to make prediction of the ranking of a university in South Africa. The ranking is approached as a stochastic variable. The data were extracted from Scimago in the prediction process. A university was randomly selected to evaluate the level of prediction of the MC method. The university was relatively low ranked. The MC states for this study were adopted from a previous one, based on performance brackets. The Markov chain displayed a satisfactory level of prediction for the probability of a university moving from one level to another. The distribution of university rankings could be well defined to determine the performance of a university.

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Journal
Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics
Published
2024-12-01
DOI
https://doi.org/10.54808/jsci.22.05.48
Primary Topic
Online Learning and Analytics
Type
article
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0.00
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article

An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning

Masengo Ilunga, Masikini Lugoma, Kalenga WaKalenga
Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics
Online Learning and Analytics
article

An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning

Masengo Ilunga, Masikini Lugoma, Kalenga WaKalenga
article en

Abstract

The Markov chain (MC) technique is used to make prediction of the ranking of a university in South Africa. The ranking is approached as a stochastic variable. The data were extracted from Scimago in the prediction process. A university was randomly selected to evaluate the level of prediction of the MC method. The university was relatively low ranked. The MC states for this study were adopted from a previous one, based on performance brackets. The Markov chain displayed a satisfactory level of prediction for the probability of a university moving from one level to another. The distribution of university rankings could be well defined to determine the performance of a university.

Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informaticsVol. 22(5)
University of South Africa (ZA), University of Johannesburg (ZA)
Openalex Percentile: Top 75%
Online Learning and Analytics
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An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning — Masengo Ilunga, Masikini Lugoma, et al. · Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics (2024) | TGRS Research Map | TGRS