NNOVATIVE TECHNOLOGIES FOR DISTANCE LEARNING UNDER QUARANTINE RESTRICTIONS

Task. Currently, there are many educational portals, the main purpose of which is to create a unified space for learning. They are developed using an architecture that includes three layers: a custom layer, a business logic layer, and a database. The article substantiates the optimal options for creating high-performance and secure sites with functionality that allows you to increase the productivity of employees of educational organizations and automate routine processes during remote restrictions. The authors propose the optimal toolkit for organizing and automating the distance activities of educational organizations during a pandemic and providing additional opportunities for attracting an audience and analyzing statistical information about its students and visitors. The results show that the approach presented in the article is feasible, as it provides several key advantages over using existing systems. Model. To create a portal, the authors propose the use of modern development tools based on NodeJS, MongoDB and Varnish and provide a justification for their feasibility and effectiveness. Conclusions. The authors propose a solution that can surpass its competitors in speed and optimization, as well as solve the tasks of organizing and automating the remote activities of educational organizations in the conditions of quarantine restrictions. The solution proposed by the authors has many possibilities for expanding the functionality. Practical value. As a result of the research, the authors propose a methodology for developing educational portals using optimal tools. This toolkit allows you to create a solution that will contribute to the effective management of the portal content. The proposed methodology will increase the productivity of the staff responsible for site support and, as a result, lead to the satisfaction of end users.

educational portal, system concept, software product technology, database, web server, testing, interface