Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Education, Management, and Technology
Elizabeth, Ojekunle Odegua
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 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 Ayo, Ayenigba Alfred Michael, Ajao Olutunde