employee
Russian Federation
student from 01.01.2022 until now
Sankt-Peterburg, Russian Federation
UDC 378.1
The growing volume of data and the shift of educational processes to digital environments necessitate the development of robust and scalable information systems for the tracking and analysis of academic activities. Purpose: to develop a conceptual model of a web-based information system aimed at monitoring student attendance, which will facilitate automating the collection, processing and presentation of data. Methods: Contemporary tools from the Spring Framework were applied, incorporating REST architecture, ORM technologies such as Hibernate and JPA, as well as the Spring Data repository layer. PostgreSQL were selected as the database solution, offering support for distributed query processing and optimization. Results: a conceptual model of the system has been proposed that features a multi-level architecture, a user management module and an analytical data processing component. Furthermore, strategies for the implementation of the service layer and client interaction have been outlined. A performance analysis has been conducted, validating the system’s stability in response to increased data volumes and a higher number of concurrent users. Practical significance: the proposed architecture is suitable for developing contemporary educational platforms that support the automation of tracking, analyzing and visualizing students’ academic performance. The solution developed can be integrated with current Learning Management Systems (LMS) and used to create adaptive digital educational services.
information system, web technologies, attendance monitoring, data analysis, digitalization of education
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