DIGITAL ACCOMPANIMENT OF EDUCATION PROFESSIONALS BASED ON THE INTERNET OF BEHAVIORS

Authors

DOI:

https://doi.org/10.28925/2663-4023.2026.33.1137

Keywords:

blockchain, Learning Management System, Internet of Things, Internet of Behaviors, Smart Learning Environment

Abstract

The article examines the problem of digital support for educators in modern educational institutions under conditions of active digitalization of the educational environment. Existing digital solutions are largely focused on analyzing students’ learning activities, whereas the professional activities of educators remain fragmentarily represented across separate information systems and lack a holistic analytical representation. Particular attention is paid to the gap between the physical and digital dimensions of educators’ professional activities, where events of physical presence on campus are not aligned with digital events recorded in learning management systems and other components of the educational infrastructure. The study substantiates the feasibility of using Internet of Things technologies as an infrastructural basis for the automated capture of educators’ physical presence events, as well as the Internet of Behaviors concept as an analytical approach to interpreting the aggregate of physical and digital events in the form of behavioral scenarios of professional activity. It is shown that the integration of these approaches enables a transition from event-based accounting to behavioral analytics aimed at supporting the organization of educators’ work and managerial decision-making. A generalized model of digital support for educators is proposed, encompassing the stages of collecting, harmonizing, analyzing, and interpreting physical and digital data related to professional activities. The model provides for the use of learning management systems as a source of digital presence and campus infrastructure as a source of physical events, which together form a unified behavioral space. Particular emphasis is placed on the human-centered nature of digital support, issues of personal data protection, and the ethical boundaries of applying behavioral analytics in educational environments.

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References

Viberg, O., et al. (2020). Learning analytics for supporting teachers’ practice. British Journal of Educational Technology, 51(6), 2003-2018. https://doi.org/10.1111/bjet.12980

Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3), e1355. https://doi.org/10.1002/widm.1355

Ouyang, F., et al. (2022). Smart learning environments: Research trends and future directions. Computers & Education: Artificial Intelligence, 3, 100062. https://doi.org/10.1016/j.caeai.2022.100062

Domínguez-Bolaño, T., et al. (2024). An IoT-based smart campus system for monitoring and improving sustainability. Internet of Things, 27, 101099. https://doi.org/10.1016/j.iot.2024.101099

Ragothaman, K., et al. (2023). IoT-enabled access control systems: Architecture and applications. Sensors, 23(4), 1805. https://doi.org/10.3390/s23041805

Abbes, A. C., et al. (2024). Online and physical internet of behaviors. Procedia Computer Science, 233, 147-156. https://doi.org/10.1016/j.procs.2024.09.204

Nyman, G. (2012). Internet of behaviors (IoB). https://gotepoem.wordpress.com/2012/03/

Dolgui, A., & Ivanov, D. (2025). Internet of behaviors: Conceptual model, practical and theoretical implications. International Journal of Production Research. https://doi.org/10.1080/00207543.2024.2372008

Bangui, H., Buhnova, B., Ge, M., & Kriglstein, S. (2025). Leveraging the internet of behaviors for mutual trust in digital ecosystems. In IUI Companion Proceedings. https://doi.org/10.1145/3708557.3716344

Ziani, L., & Khanouche, M. E. (2022). Internet of behaviors: A review. In IEEE BIWA. https://doi.org/10.1109/BIWA57631.2022.10037987

Ifenthaler, D., & Yau, J. Y.-K. (2021). Learning analytics for teacher professional development. Educational Technology Research and Development, 69, 1215-1234. https://doi.org/10.1007/s11423-021-09990-3

Puckdeevongs, A., et al. (2020). Bluetooth low energy-based attendance systems: Design and evaluation. Information, 11(6), 329. https://doi.org/10.3390/info11060329

Kim, M., et al. (2021). Security challenges in BLE-based attendance systems. IEEE Access, 9, 158334-158346. https://doi.org/10.1109/ACCESS.2021.3128409

Rahaman, M., et al. (2025). Wi-Fi-based automatic attendance monitoring system using mobile devices. Journal of Electrical Systems and Information Technology, 12. https://doi.org/10.1186/s43067-025-00215-y

Drachsler, H., & Greller, W. (2020). Privacy and analytics in learning environments. Journal of Learning Analytics, 7(1), 1-6. https://doi.org/10.18608/jla.2020.71.1

Chan, W., Gai, K., Yu, J., & Zhu, L. (2025). Blockchain-assisted self-sovereign identities on education: A survey. Blockchains, 3(1). https://doi.org/10.3390/blockchains3010003

Yalanetskyi, V. (2023). Learning management systems on blockchain. Cybersecurity: Education, Science, Technique, 3(19), 56-68. https://doi.org/10.28925/2663-4023.2023.19.5668

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Published

2026-06-25

How to Cite

Yalanetskyi, V. (2026). DIGITAL ACCOMPANIMENT OF EDUCATION PROFESSIONALS BASED ON THE INTERNET OF BEHAVIORS. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 1(33), 453–460. https://doi.org/10.28925/2663-4023.2026.33.1137