employee
Russian Federation
student
Saint Petersburg, Russian Federation
VAK Russia 1.2.1
UDC 004.9
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
1. Kuznetsov Y. A., Gumennikova A. V. Avtomatizatsiya ucheta poseshchaemosti studentami uchebnykh zanyatiy [Accounting of Students’ Attendance of Study Activities Automation], Reshetnevskie chteniya: materialy XXV Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Reshetnev Readings: Proceedings of the XXV International Scientific and Practical Conference], Krasnoyarsk, Russia, November 10–12, 2021. Vol. 2. Krasnoyarsk, Reshetnev Siberian State University of Science and Technology, 2021, Pp. 378–380. (In Russian) EDN: https://elibrary.ru/CDVRBB
2. Andreev E. A., Khabituev B. V. Informatsionnaya sistema ucheta poseshchaemosti studentov [Information System of Students Attendance Accounting], Informatsionnye sistemy i tekhnologii v obrazovanii, nauke i biznese: materialy Vserossiyskoy nauchno-prakticheskoy konferentsii s mezhdunarodnym uchastiem [Information Systems and Technologies in Education, Science and Business: Proceedings of the International Scientific and Practical Conference], Ulan-Ude, Russia, July 05, 2019. Ulan-Ude: Banzarov Buryat State University Publishing House, 2019, Pp. 4–11. DOI:https://doi.org/10.18101/978-5-9793-1397-9-4-11. (In Russian) EDN: https://elibrary.ru/EDNYRP
3. Basev I. N., Golunova L. V. Monitoring uchebnoy deyatelnosti studentov v LMS Moodle (na primere distsipliny “Informatika”) [Monitoring of Student Educational Activities in LMS Moodle (on the Example of Information Technology Subject)], Vestnik Sibirskogo gosudarstvennogo universiteta putey soobshcheniya: Gumanitarnye issledovaniya [The Siberian Transport University Bulletin: Humanitarian Research], 2019, No. 2 (6), Pp. 29–36. (In Russian) EDN: https://elibrary.ru/PIVWEL
4. Nurkhamid, Setialana P., Jati H., et al. Intelligent Attendance System with Face Recognition Using the Deep Convolutional Neural Network Method, ICE-ELINVO 2020: Proceedings of the Third International Conference on Electrical, Electronics, Informatics, and Vocational Education, Yogyakarta, Indonesia, October 05, 2020. Journal of Physics: Conference Series, 2021, Vol. 1737, Art. No. 012031, 9 p. DOI:https://doi.org/10.1088/1742-6596/1737/1/012031. EDN: https://elibrary.ru/ZWNQTU
5. Ivanova E. V., Strueva A. Yu. Sistema ucheta poseshchaemosti studentov na osnove raspoznavaniya lits [The Student Attendance Control System Based on Face Recognition], Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya “Vychislitelnaya matematika i informatika” [Bulletin of the South Ural State University. Series “Computational Mathematics and Software Engineering”], 2021, Vol. 10, No. 4, Pp. 60–73. DOI:https://doi.org/10.14529/cmse210404. (In Russian) EDN: https://elibrary.ru/SDEBYY
6. Banshchikov A. O., Girutskaya A. A., Tsapko I. V. Sistema ucheta poseshchaemosti studentov [Student Attendance Accounting System], Molodezh i sovremennye informatsionnye tekhnologii: sbornik trudov XVI Mezhdunarodnoy nauchno-prakticheskoy konferentsii studentov, aspirantov i molodykh uchenykh [Youth and modern information technologies: Proceedings of the XVI International Scientific and Practical Conference of Students, Graduate Students and Young Scientists], Tomsk, Russia, December 03–07, 2018. Tomsk, Tomsk Polytechnic University Publishing House, 2019, Pp. 206–207. (In Russian) EDN: https://elibrary.ru/NJYZMM
7. Alpatov A. V. Primenenie mashinnogo obucheniya dlya analiza obrazovatelnykh rezultatov studentov vuzov [Application of Machine Learning to Analyze Academic Performance of University Students], Informatsionnye i matematicheskie tekhnologii v nauke i upravlenii [Information and Mathematical Technologies in Science and Management], 2023, No. 4 (32), Pp. 67–78. DOI:https://doi.org/10.25729/ESI.2023.32.4.006. (In Russian) EDN: https://elibrary.ru/ETVHIU
8. Sitnikov A. D., Fedin F. O. Model zashchity informatsii v protsesse ucheta uspevaemosti i poseshchaemosti studentov [The Model of Information Protection in the Process of Accounting for Students’ Academic Performance and Attendance], World of Science: sbornik statey III Mezhdunarodnoy nauchno-prakticheskoy konferentsii [World of Science: Proceedings of the III International Scientific Conference], Penza, Russia, March 30, 2023. Penza, International Centre for Scientific Cooperation “Science and Education”, 2023, Pp. 65–69. (In Russian) EDN: https://elibrary.ru/CTQPWY
9. Varlamova T. A., Gokhberg L. M., Zorina O. A., et al. Obrazovanie v tsifrakh: 2025: kratkiy statisticheskiy sbornik [Education in numbers: 2025: Brief statistical digest]. Moscow, Institute for Statistical Studies and Economics of Knowledge of the Higher School of Economics, 2025,136 p. (In Russian)
