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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM4929

E-LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM4929

Volume:

4 |

7 |

Jul 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

AD

Abhishek Dixit

DK

Dr.Devesh Katiyar

MG

Mr.Gaurav Goel

SV

Shubham Verma

SY

Shubham Yadav

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Abstract

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

E-learning online education digital transformation post-COVID education hybrid learning educational technology.

Cite This Article

Abhishek Dixit, Dr.Devesh Katiyar, Mr.Gaurav Goel, Shubham Verma, Shubham Yadav, "E-LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 7, Jul 2020.

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Publication Date

1/31/2026

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