Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model

Philip Ajibola Bankole; Toyin Alaba Adekitan Odupe; Olamide Funmilayo Amoo-Adams

doi:10.33187/jmsm.1702417

Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model

Abstract

This study develops and analyzes a stochastic logistic adaptation model to describe the rate at which a population of teachers adjusts to a newly introduced teaching method. Using a stochastic differential equation with multiplicative noise, the model captures both deterministic growth and random fluctuations in adaptation. The Euler-Maruyama scheme is employed for numerical simulation, with convergence and stability rigorously established. Simulation results provide insight into the dynamics of adaptation under uncertainty, supported by mean-variance analysis and visualizations. This framework offers a realistic tool for understanding adaptation processes in educational interventions.

Keywords

Stochastic logistics adaptation, Educational innovation modelling, Teachers’ adaptation rate, Adaptive behaviour in education, Stability and convergence

References

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Details

Primary Language

English

Subjects

Applied Mathematics (Other)

Journal Section

Research Article

Authors

Philip Ajibola Bankole ^*
0000-0003-4606-2349
Nigeria

Toyin Alaba Adekitan Odupe
0009-0001-1589-8920
Nigeria

Olamide Funmilayo Amoo-Adams
Nigeria

Early Pub Date

March 4, 2026

Publication Date

March 4, 2026

Submission Date

May 23, 2025

Acceptance Date

February 14, 2026

Published in Issue

Year 2026 Volume: 9 Number: 1

DOI

https://doi.org/10.33187/jmsm.1702417

IZ

https://izlik.org/JA56ZM72NG

APA

Bankole, P. A., Odupe, T. A. A., & Amoo-Adams, O. F. (2026). Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model. Journal of Mathematical Sciences and Modelling, 9(1), 36-46. https://doi.org/10.33187/jmsm.1702417

AMA

1.Bankole PA, Odupe TAA, Amoo-Adams OF. Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model. Journal of Mathematical Sciences and Modelling. 2026;9(1):36-46. doi:10.33187/jmsm.1702417

Chicago

Bankole, Philip Ajibola, Toyin Alaba Adekitan Odupe, and Olamide Funmilayo Amoo-Adams. 2026. “Modeling the Rate of Adaptation of Teachers to a New Teaching Method As a Stochastic Logistic Adaptation Model”. Journal of Mathematical Sciences and Modelling 9 (1): 36-46. https://doi.org/10.33187/jmsm.1702417.

EndNote

Bankole PA, Odupe TAA, Amoo-Adams OF (March 1, 2026) Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model. Journal of Mathematical Sciences and Modelling 9 1 36–46.

IEEE

[1]P. A. Bankole, T. A. A. Odupe, and O. F. Amoo-Adams, “Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model”, Journal of Mathematical Sciences and Modelling, vol. 9, no. 1, pp. 36–46, Mar. 2026, doi: 10.33187/jmsm.1702417.

ISNAD

Bankole, Philip Ajibola - Odupe, Toyin Alaba Adekitan - Amoo-Adams, Olamide Funmilayo. “Modeling the Rate of Adaptation of Teachers to a New Teaching Method As a Stochastic Logistic Adaptation Model”. Journal of Mathematical Sciences and Modelling 9/1 (March 1, 2026): 36-46. https://doi.org/10.33187/jmsm.1702417.

JAMA

1.Bankole PA, Odupe TAA, Amoo-Adams OF. Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model. Journal of Mathematical Sciences and Modelling. 2026;9:36–46.

MLA

Bankole, Philip Ajibola, et al. “Modeling the Rate of Adaptation of Teachers to a New Teaching Method As a Stochastic Logistic Adaptation Model”. Journal of Mathematical Sciences and Modelling, vol. 9, no. 1, Mar. 2026, pp. 36-46, doi:10.33187/jmsm.1702417.

Vancouver

1.Philip Ajibola Bankole, Toyin Alaba Adekitan Odupe, Olamide Funmilayo Amoo-Adams. Modeling the Rate of Adaptation of Teachers to a New Teaching Method as a Stochastic Logistic Adaptation Model. Journal of Mathematical Sciences and Modelling. 2026 Mar. 1;9(1):36-4. doi:10.33187/jmsm.1702417