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All Journal Mikailalsys Journal of Mathematics and Statistics International Journal of Education, Management, and Technology
Michael, Ajao Olutunde
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering

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A Model of the Spread of Chlamydia Trachomatis Michael, Ajao Olutunde; Adebowale, Adejumo O.
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5462

Abstract

Chlamydia as sexually transmitted disease that has major occurrence in sub-Saharan African where Nigeria is predominant this create a necessity to be concern about its spread within the nation.The SEScITR model with six compartments (Susceptible, Exposed, Screened, Infectious, Treated, Recovered) of human population was formulated. The parameters in the model were obtained from literatures and some were assumed. The ordinary differential equations were obtained using Runge Kutta Fehlberg Method and analysis of our system of equations was done using Maple 2017. Simulated data obtained through RStudio were used and our analysis were done using deSolve package on Rstudio. The formulated model was further analyse to get the reproduction number which is 0.67. The local and global stability ofSEScITR modelwas investigated using Jacobian matrix and Lyapunov function respectively and the results shows that Chlamydia disease free equilibrium is locally and globally asymptotically since R0<1 i.e.R0 =0.67. Also, the endemic state of Chlamydia equilibrium is locally and globally stable when R0>1.
Statistical Analysis on Engagement Patterns of Fresh Graduates around Different Online Learning Platforms Michael, Ajao Olutunde; Ayo, Ayenigba Alfred; Elizabeth, Ojekunle Odegua
International Journal of Education, Management, and Technology Vol 3 No 3 (2025): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v3i3.7353

Abstract

In the digital era, online learning platforms have become essential tools for delivering education at a global scale. This study examines user engagement across three major platforms—Coursera, edX, and LinkedIn Learning—with a focus on how engagement metrics correlate with perceived learning outcomes. Utilizing a mixed-methods approach, data were collected from 124 fresh graduates (within 0–3 years post-graduation) through structured questionnaires and analyzed using descriptive statistics, ANOVA, t-tests, and chi-square tests. The results indicate that users primarily engage with these platforms to enhance employability and earn certifications, with Coursera and LinkedIn Learning being the most frequently used. Courses related to career-specific skills and personal development were highly preferred. Engagement frequency was high, with most participants accessing content daily or weekly. Motivating features included video lectures and interactive elements, while time constraints and high subscription costs were identified as major barriers. Regression analysis confirmed a statistically significant relationship between user engagement and perceived learning effectiveness (p ≤ 0.05). Furthermore, the study found significant differences in engagement patterns influenced by platform interactivity, content quality, and the availability of certifications. The study concludes that optimizing platform design by offering accessible, career-relevant content and reducing time and cost barriers is critical to improving learner engagement and educational outcomes.
Co-Authors Adebowale, Adejumo O. Ayo, Ayenigba Alfred Elizabeth, Ojekunle Odegua