Developing the Distance Learning System Using the .NET Framework Insights and Methodologies
Year: 2025
Type: conference-paper
Abstract: This article presents a comprehensive examination of the development and deployment of a distance learning system using the .NET Framework, highlighting its significance in the evolving landscape of digital education. Beginning with an introduction to the necessity and benefits of remote learning platforms in today's digital age, the article delves into the architectural design of the system, emphasizing its multi-tiered structure which ensures modularity, flexibility, and scalability. The core development section details the integration of key .NET technologies – ASP.NET for web application development, Entity Framework for data management, SignalR for real-time communication, and the Identity Framework for secure user authentication and management. A significant portion of the article is dedicated to the meticulous testing strategy employed, covering unit, integration, and system testing phases to ensure the reliability, performance, and user experience of the system. Utilizing the xUnit framework for automated testing, the article showcases how comprehensive testing is instrumental in identifying potential issues early, thereby enhancing the overall quality and stability of the platform. The conclusion synthesizes these discussions, underscoring the system's successful implementation as a testament to the potential of the .NET Framework in creating robust, scalable educational software. The article serves not only as a case study on the development of a distance learning system but also as a guideline for future projects aiming to leverage technology in enriching the educational experience. Through detailed exploration of the system's architecture, development process, and testing methodologies, the article offers valuable insights into creating software solutions that are innovative, usercentric, and impactful in the realm of digital education.
Authors: M.R. Volkov, V.A. Nikolaev, I.A. Gulyaev, I.N. Galavetdinov, E.S. Belashov
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4410316989