📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 8, AUGUST 2023

Cloud Computing Based Learning Web Application Through Amazon Web Services

Tamilarasu S, Mrs Maheswari M

DOI: 10.17148/IJARCCE.2023.12823

Abstract: The evolution of education in the digital era has prompted a fundamental shift towards online learning platforms. This project introduces an advanced E-Learning Management System that harnesses the power of Amazon Web Services to offer a robust, scalable, and secure online educational platform. It is a comprehensive e-learning solution designed to facilitate seamless management and delivery of educational content. It empowers educators to create, organize, and administer courses efficiently, while providing students with a dynamic and interactive learning experience. Leveraging AWS's cloud infrastructure, it ensures high availability, enabling uninterrupted access to educational resources from anywhere, at any time. Key features of E-LMS include user-friendly content creation tools, real-time collaboration, automated assessments, and comprehensive analytics. Educators can create engaging courses, monitor student progress, and offer timely feedback, all while benefiting from AWS's automatic scaling to accommodate varying workloads. Security and data privacy are paramount in E-LMS. AWS's rigorous security protocols are integrated into the system, ensuring the protection of sensitive data and uninterrupted service delivery. Students and educators can engage with confidence, knowing their information is safeguarded.

Keywords: Cloud computing technique, Prescriptive Analytics, Sentiment Analysis, Content-Based Filtering

How to Cite:

[1] Tamilarasu S, Mrs Maheswari M, “Cloud Computing Based Learning Web Application Through Amazon Web Services,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12823