Published on: May 2026
PERFORMANCE-DRIVEN DESIGN OF A REAL-TIME LEARNING MANAGEMENT SYSTEM USING MERN AND HYBRID RECOMMENDATION
M. Joshya Dr. S. Anitha
Dr. S. Senthamaraiselvi
Vivekanandha Institute of Information and Management Studies, Tamil Nadu, India
Article Status
Available Documents
Abstract
The proposed system focuses on real-time course access, responsive user interface, and efficient data handling. Experimental observations indicate improved system performance in terms of response time and user interaction compared to traditional LMS platforms. Furthermore, the system is designed to be extendable for future enhancements such as AI-based personalized learning and smart recommendation features. The proposed LMS provides a flexible, scalable, and user-friendly solution for modern digital education.
Keywords- Learning Management System, MERN Stack, Online Education, React, Node.js, MongoDB, Course Management,
Web Application, Video Streaming, Authentication
How to Cite this Paper
Joshya, M. & Anitha, S. (2026). Performance-Driven Design of a Real-Time Learning Management System using MERN and Hybrid Recommendation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.806
Joshya, M., and S. Anitha. "Performance-Driven Design of a Real-Time Learning Management System using MERN and Hybrid Recommendation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.806.
Joshya, M., and S. Anitha. "Performance-Driven Design of a Real-Time Learning Management System using MERN and Hybrid Recommendation." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.806.
References
- Ally, M., Foundations of Educational Theory for Online Learning, 2008.
- Anderson, , The Theory and Practice of Online Learning, 2008.
- Chen, , et al., “Scalable Web-Based Learning Management System Architecture,” Springer, 2023.
- Gligorea, I., et al., “Adaptive Learning Using Artificial Intelligence in E-Learning,” Educ. Sci., 2023.
- Hussain, T., et al., “Enhancing E-Learning Adaptability using AI-Based Systems,” Information, 2024.
- Kumar, A., et al., “Cloud-Based Learning Management System,” IEEE, 2022.
- Lee, , and Park, K., “Adaptive Learning Systems using Artificial Intelligence,” Elsevier, 2024.
- Mustfa, J., and Ashiq, S., “AI-Based Adaptive Learning Systems: A Systematic Review,” IJEME, 2024.
- Patel, S., and Shah, R., “AI-Based Recommendation in E-Learning Systems,” IEEE, 2023.
- Senthamaraiselvi, , The Full Stack Web Development, 1st ed., 2025, ISBN: 978-93-48655-66-0.
Ethical Compliance & Review Process
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 28 2026
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