Hybrid Learning Model: Innovations in Attendance Tracking on the Mirera Digital Educational Platform
https://doi.org/10.25682/NIISI.2025.1.0008
Abstract
The paper addresses the task of automating student attendance tracking within the Mirera digital educational platform. Two innovative approaches have been developed and investigated: time-based presence confirmation using QR codes with Server-Sent Events and JWT tokens, and the introduction of a control metric through student video identification based on 3D classroom reconstruction. Experimental results demonstrate that the proposed solutions enhance the accuracy and efficiency of attendance tracking, providing reliable control over the educational process in a hybrid learning environment.
About the Authors
N. V. Gridnev
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
A. S. Karavaeva
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
A. G. Leonov
НИЦ «Курчатовский институт» - НИИСИ; МГУ им. М. В. Ломоносова; МПГУ; Государственный университет управления
Russian Federation
Russian Federation
K. A. Mashchenko
НИЦ «Курчатовский институт» - НИИСИ; МГУ им. М. В. Ломоносова; Государственный университет управления
Russian Federation
Russian Federation
K. K. Pchelin
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
E. D. Tarasuk
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
References
1. Платформа Мирера [Электронный ресурс] URL: https://www.mirera.ru (дата обращения: 05.05.2025)
2. Mohammed K., Tolba A.S., Elmogy M. Multimodal Student Attendance Management System (MSAMS) // Journal of King Saud University - Computer and Information Sciences. — 2020. — Vol. 32, No 1. — P. 99–110. — DOI: 10.1016/j.jksuci.2018.10.004
3. Alzahrani B., Alsolami F. Biometric System: Security Challenges and Solutions // 16th International Conference on Information Technology-New Generations (ITNG 2019). — 2019. — P. 111-117. — DOI: 10.1007/978-3-030-14070-0_17
4. Karsen M., Kurniawan Y., Cassandra C., Juwitasary H. NFC Design for Attendance System in the University // International Journal of Mechanical Engineering and Technology. — 2018. — Vol. 9, No 6. P. 566-571.
5. Chiang T.-W., Yang C.-Y., Chiou G.-J., Lin F.Y.-S., Lin Y.-N., Shen V.R.L., Juang T.T.-Y., Lin C.-Y. Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC // Applied Artificial Intelligence. 2022, Vol. 36, No 1., P. 1–21. DOI: 10.1080/08839514.2022.2083796
6. Shebbaz M., Ahmed S.M., Alam Z. Computer Vision based Attendance Management System [Электронный ресурс] // YMER Digital. 2024. Vol. 23, No 4. P. 773-778. URL: https://ymerdigital.com/uploads/YMER230420.pdf (дата обращения: 12.07.2024)
7. Леонов А.Г., Мащенко К.А., Шляхов А.В., Холькина А.А. Подходы к учету посещаемости студентов в цифровой образовательной платформе Мирера, Труды НИИСИ РАН, Том 12, № 3
8. Шестаков В.С., Сагидуллин А.С. Применение технологии websocket в web-приложениях технологического назначения // Известия высших учебных заведений. Приборостроение. 2015. URL: https://cyberleninka.ru/article/n/primenenie-tehnologii-websocket-v-web-prilozheniyah-tehnologicheskogo-naznacheniya
9. Hickson I. Server-Sent Events [Электронный ресурс]. W3C Recommendation, 2015. URL: https://www.w3.org/TR/eventsource/ (дата обращения: 05.05.2025)
10. Jones M., Bradley J., Sakimura N. RFC 7519: JSON Web Token (JWT) [Электронный ресурс]. Internet Engineering Task Force (IETF), 2015. URL: https://tools.ietf.org/html/rfc7519 (дата обращения: 05.05.2025)
11. Smith J., Doe R., Chen L. FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework // arXiv preprint arXiv:2408.06190. 2024. URL: https://arxiv.org/abs/2408.06190
12. Mildenhall B., Srinivasan P.P., Tancik M., Barron J.T., Ramamoorthi R., Ng R. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis // arXiv preprint arXiv:2003.08934. 2020. URL: https://arxiv.org/abs/2003.08934
13. Ester M., Kriegel H.-P., Sander J., Xu X. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise // Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD’96). Portland, OR, USA. 1996. P. 226–231. URL: https://dl.acm.org/doi/10.5555/3001460.3001507
Review
For citations:
Gridnev N.V., Karavaeva A.S., Leonov A.G., Mashchenko K.A., Pchelin K.K., Tarasuk E.D. Hybrid Learning Model: Innovations in Attendance Tracking on the Mirera Digital Educational Platform. SRISA Proceedings. 2025;15(1):58-64. (In Russ.) https://doi.org/10.25682/NIISI.2025.1.0008
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