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.
Authors
- Masengo Ilunga (ORCID: https://orcid.org/0000-0002-6924-1705)
- Masikini Lugoma
- Kalenga WaKalenga
Institutions
- University of South Africa (ZA)
- University of Johannesburg (ZA)
Publication Details
- 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
- Field-Weighted Citation Impact
- 0.00