ARCHITECTURE AND DATABASE DESIGN OF DIGITAL LEARNING PLATFORMS
This article explores the architecture and database design of a digital learning platform developed for primary school students. The study focuses on the modular structure of the platform built using the Django framework, its real-time communication capabilities, and the optimized design of the database architecture. It analyzes the ER models, table structures, and security measures implemented for the platform’s three core modules – students, teachers, and real-time communication. The research proposes approaches aimed at ensuring data security, applying normalization stages, and improving overall system efficiency. The results highlight the critical role of modular architecture and optimized databases in enhancing the effectiveness and adaptability of digital education platforms.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-16
- DOI
- https://doi.org/10.5281/zenodo.15430467
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00