Interactive support of the educational process under martial law: experience in developing and implementing a Telegram bot

Authors

  • Hanna Alieksieieva Ph.D. in Pedagogical Sciences, Associate Professor, Faculty of Physical, Mathematical, Computer and Technological Education, Department of Computer Technologies and Learning, Berdyansk State Pedagogical University, Ukraine https://orcid.org/0000-0003-3204-3139
  • Andrii Shcherbak Master’s degree student, Faculty of Physical, Mathematical, Computer and Technological Education, Berdyansk State Pedagogical University, temporarily relocated to Zaporizhzhia, 69000, Ukraine https://orcid.org/0009-0000-7374-4797
  • Larysa Horbatiuk Ph.D. in Pedagogical Sciences, Associate Professor, Faculty of Physical, Mathematical, Computer and Technological Education, Department of Informatics and Computer Technologies in Management and Learning, Berdyansk State Pedagogical University, temporarily relocated to Zaporizhzhia, 69000, Ukraine https://orcid.org/0000-0002-0584-7708
  • Oleksandr Ovsiannikov Ph.D. in Pedagogical Sciences, Associate Professor, Faculty of Physical, Mathematical, Computer and Technological Education, Department of Informatics and Computer Technologies in Management and Learning, Berdyansk State Pedagogical University, temporarily relocated to Zaporizhzhia, 69000, Ukraine https://orcid.org/0000-0003-4972-3472

DOI:

https://doi.org/10.5281/zenodo.17216177

Keywords:

Telegram bot, professional (vocational) education, distance and blended learning, safety alerts, learning analytics

Abstract

Abstract. The article substantiates the need for interactive support of the educational process in professional (vocational) education under distance/blended learning and wartime (martial-law) conditions. It proposes a model for integrating a Telegram bot as a “thin communication layer” that consolidates timetables, deadlines, reference resources, university events, and safety alerts without duplicating LMS/EMS functionality. The model rests on the principles of systemness, modularity, accessibility, and information security, and includes an implementation algorithm (role and scenario configuration, communication regulations, and metrics for assessing service and learning effects). The methodological basis comprises analysis of scholarly and methodological literature, comparative appraisal of digital services, design-based engineering, and a pilot at Berdyansk State Pedagogical University (BDPU) using behavioral logs, learner and instructor surveys, and learning analytics. Special attention is paid to adapting bot scenarios to digital-profile courses (timetables and reminders, tracking of laboratory and project work, rapid feedback forms, threat alerts). The findings show improved manageability of service communication, reduced channel fragmentation, higher on-time task completion, and shorter dissemination time for critical information. Methodical recommendations are offered on message tone, frequency, and structure, alongside criteria for evaluating integration results. Future work involves multisite replications, deeper API integration, communication personalization, and judicious incorporation of AI components with appropriate ethical safeguards.

Published

2025-09-28

How to Cite

Alieksieieva, H., Shcherbak, A., Horbatiuk, L., & Ovsiannikov, O. (2025). Interactive support of the educational process under martial law: experience in developing and implementing a Telegram bot. Pedagogical Academy: Scientific Notes, (22). https://doi.org/10.5281/zenodo.17216177