A Nonlinear Behaviour Debasement Analysis of Final Year Students of a Teacher Training Institution

Authors

Din Sunday Sarki

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Dikop Mary Dickson

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Bwirdimma Dugul Gotep

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Yilleng Mwagitdang Augustine

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Gushi Iliya

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Toma Ibrahim Atang

Department of Mathematics, Federal College of Education Pankshin (Nigeria)

Article Information

DOI: 10.51244/IJRSI.2025.1210000037

Subject Category: Mathematics

Volume/Issue: 12/10 | Page No: 391-405

Publication Timeline

Submitted: 2025-09-24

Accepted: 2025-10-01

Published: 2025-10-31

Abstract

In this paper, we formulate and analyse a mathematical model for the dynamics of behaviour debasement in a teacher training facility by considering some control measures. Analysis of the model shows that the behaviour debasement model has a Free Equilibrium (FE) and a Persistent Equilibrium (PE). The next generation matrix method was used to compute the basic reproduction number, as the threshold parameter for the model so that whenever the behaviour debasement free equilibrium is both locally and globally asymptotically stable whereas when then the behaviour debasement persistence equilibrium will uniquely exist and at the same time will be globally asymptotically stable. The model was numerically simulated using MATLAB and the results indicated that counselling of the debased, graduation into professional teachers and expulsion of recalcitrant final year student teachers can significantly contribute in controlling behaviour debasement in the teacher training institution.
Therefore, the study recommended that more efforts should be channelled toward advocacy, enlightenment and campaign against behaviour debasement; the mechanism of counselling should be prioritised as well as maintaining a firm stance in the aspect of discipline.

Keywords

Teacher training institution, behaviour debasement, Nonlinear dynamics, Mathematical analysis, Numerical results.

Downloads

References

1. Eleje, L. I., Urama, C. C., Metu, I. C., Abanobi, C. C. (2024). Students’ Involvement in Cultism in Tertiary Institutions in Nigeria: Undergraduate Students’ View of the Causes, Effects and Solutions. Journal of Theoretical and Empirical Studies in Education, Vol. 8 No. 2, January, 2024 [Google Scholar] [Crossref]

2. Atanda, A. I. (2019). Corrupt Practices in Tertiary Institutions in Nigeria: Management Tips Towards Alleviation of Corruption. East African Journal of Educational Research and Policy - Vol. 14, June, 2019 [Google Scholar] [Crossref]

3. Aroyewum, B. A., Adeyemo, S. O. and Nnabuko, D. C. (2023). Aggressive behavior: examining the psychological and demographic factors among university students in Nigeria. Cogent Psychology (2023), 10: 2154916 https://doi.org/10.1080/23311908.2022.2154916 [Google Scholar] [Crossref]

4. Ololube, A. O., & Dibu A. V. (2019). Deviance behaviour among students in tertiary institutions. International Journal of Scientific Research in Education, 12(5), 598-607. Retrieved from http://www.ijsre.com. [Google Scholar] [Crossref]

5. Chukwurah, G. O., John-Nsa, C. A., Isimah, M, O. (2022). Addressing the Causes of Cultism in Nigerian Universities: A Case for the Application of Behavioural-Change Communication Strategies. World Journal of Research and Review (WJRR) ISSN: 2455-3956, Volume-14, Issue-6, June 2022 Pages 05-09 [Google Scholar] [Crossref]

6. Jamiu, M. S., Olokoba, A. A., Mahmud, A.M., Kamaldeen, S. K & Zakariyah, A. Z. (2021). Causes of Deviant Behaviours among Adolescents in Tertiary Institutions in Kwara State, Nigeria. International Journal of Contemporary Education Research Published by Cambridge Research and Publications. Vol. 22 No. 8 September, 2021. [Google Scholar] [Crossref]

7. Okwonu, F.Z., Apanapudor, J.S. Maduku, E.O. (2023): On Comparative Analysis of Estimation Procedures, FUW Trends in Science and Technology Journal,www.ftstjournal.com [Google Scholar] [Crossref]

8. Tony Hurlimann (2024). Mathematical Modeling Basics. Department of Department of Informatics, University of Fribourg CH – 1700 Fribourg (Switzerland). tony.huerlimann@unifr.ch October, 2024. First Edition [Google Scholar] [Crossref]

9. Chikodili, H. U., Sarki, D. S. and G. C. E. Mbah. (2019). Nonlinear Analysis of the Dynamics of Criminality and Victimisation: A Mathematical Model with Case Generation and Forwarding. Journal of Applied Mathematics Volume 2019, Article ID 9891503, 17 pages https://doi.org/ 10.1155/2019/ 9891503 [Google Scholar] [Crossref]

10. J. A. A. Norelys and A. Manuel, Lyapunov function construction for ordinary differential equations with linear programming, Communications in Nonlinear Science and Numerical Simulation, 19 (2015) 2951–2957 [Google Scholar] [Crossref]

11. O. Diekmann, J. Heesterbeek, and J. Metz, “On the definition and computation of the basic reproduction ratio Ro in models for infectious diseases in heterogeneous populations,” J. Math. Biol, vol. 28, pp. 365–382, 1990. https://doi.org/10.1007/BF00178324 199, 201, 204 [Google Scholar] [Crossref]

12. P. Van den Driessche and J. Watmough, “Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission,” Math. Biosci, vol. 180, no. 1–2, pp. 29–48, 2002. https://doi.org/10.1016/S0025-5564(02)00108-6 199, 204 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles