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Cloud-Based E-Learning Platform with Analytics
Subject area: Science,Engineering and Technology · Area of research: Cloud-Based E-Learning Systems
DOI: https://doi.org/10.64388/IREV9I10-1716380
Abstract
The rapid advancement of internet technologies and cloud computing has significantly transformed the education sector. Traditional classroom-based learning systems often face limitations such as restricted accessibility, limited interaction, and lack of proper performance analysis. To address these challenges, this research proposes a Cloud-Based E Learning Platform with Analytics that enables students to access learning materials from anywhere using internet-enabled devices. The system allows instructors to upload Additionally, the platform incorporates an analytics module that analyzes student engagement, course progress, and assessment performance.By collecting and processing learning data, the system provides valuable insights that help educators understand student behavior and improve teaching strategies. The proposed system enhances the efficiency, accessibility, and scalability of digital education while providing data-driven decision-making capabilities for instructors and administrators.
How to cite this paper
@article{1716380,
author = {Kavinesh S, Srinuvas Reddy M, Nara Hari Vasu M, Ramachandran C},
title = {Cloud-Based E-Learning Platform with Analytics},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1818-1823},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716380.pdf},
abstract = {The rapid advancement of internet technologies and cloud computing has significantly transformed the education sector. Traditional classroom-based learning systems often face limitations such as restricted accessibility, limited interaction, and lack of proper performance analysis. To address these challenges, this research proposes a Cloud-Based E Learning Platform with Analytics that enables students to access learning materials from anywhere using internet-enabled devices. The system allows instructors to upload Additionally, the platform incorporates an analytics module that analyzes student engagement, course progress, and assessment performance.By collecting and processing learning data, the system provides valuable insights that help educators understand student behavior and improve teaching strategies. The proposed system enhances the efficiency, accessibility, and scalability of digital education while providing data-driven decision-making capabilities for instructors and administrators.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716380}
}