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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM4929
Volume:
4 |
7 |
Jul 2020
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The COVID-19 pandemic accelerated a large-scale digital transformation in education, forcing institutions worldwide to adopt online learning platforms. This paper presents a compact analytical framework to study post-COVID trends in e-learning platform usage using a dual‑mode approach: (i) platform usage trend analysis and (ii) learner–educator behavior assessment. Secondary datasets, simulated survey data, and trend observations from 2018–2023 are used to examine adoption growth, engagement metrics, and platform preferences. The findings indicate that e-learning usage remained significantly higher than pre-pandemic levels even after physical classrooms reopened. Hybrid learning models, increased session duration, and higher learner acceptance confirm that online education has evolved from an emergency solution into a permanent component of modern education systems.
KEYWORDS
Publication Date
1/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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