Ways to integrate artificial intelligence technologies into training programs for government and municipal employees
https://doi.org/10.37493/2307-907X.2025.3.19
Abstract
Introduction. The conceptual change in the requirements to the professional competencies of public and municipal employees, consisting in the need to expand their knowledge, skills and abilities in the field of digital technologies and artificial intelligence technologies, which can significantly improve the efficiency and responsiveness of managerial decisions and public and municipal services, determines the need to integrate artificial intelligence technologies into training programs for public servants. Goal. The study aims to identify possible solutions to common problems of integrating artificial intelligence technologies into educational programs for state and municipal employees. Materials and methods. The study is based on the analysis of probable algorithms of actions of higher education institutions when faced with the most common problems of modernisation of training programs in terms of implementation of artificial intelligence technologies in them. Results and discussion. According to the results of the work, possible ways of solving the problems of integrating artificial intelligence technologies into training programs for state and municipal employees were identified, the advantages of these approaches were revealed and step-by-step algorithms of actions of higher education institutions in the application of the considered approaches were drawn up. Conclusion. According to the results of the study, the most common problems of integrating AI technologies into training programs are the shortage of qualified personnel, the lack of modern technical infrastructure and the low level of development of the relevant regulatory and legal framework – can be solved through large-scale cooperation with relevant companies, the creation of virtual laboratories using cloud platforms, as well as the formation of information and analytical systems containing auxiliary technologiesAt the same time, the actions of educational institutions within the framework of each approach require advance planning and should be carried out according to certain sequential algorithms.
About the Authors
A. O. BidzhievRussian Federation
Artur O. Bidzhiev – Graduate Student of the Pedagogical Faculty
L. A. Filimoniuk
Russian Federation
Lyudmila A. Filimoniuk – Dr. Sci. (Ped.), Professor of the Department of Pedagogy, methodology and
technology of education
References
1. Bidzhiev AO, Filimoniuk LA. Expediency of using state information systems in the process of preparing future state and municipal employees. Scientific journal of Nevinnomyssk state humanitarian-technical institute. 2024;(1):15-19. (In Russ.).
2. Bidzhiev AO. Model of preparation of future state and municipal employees for professional activity using the means of state information systems. Newsletter of North-Caucasus Federal University. 2024;5(104):122-129. (In Russ.).
3. Burganova LA, Yurieva OV. Readiness of university teachers to work in the digital educational environment: competence approach. Newsletter of economics, law and sociology.2021;(2):67-72. (In Russ.).
4. Dongauser EV, Tamaeva AA. The role of professional development for a teacher of vocational training. Higher education in Russia: history and modernity. 2017;1:161-167. (In Russ.).
5. Zolotukhin MS, Kubanskikh OV. Virtual laboratories in teaching and learning. Modern scientific research and innovations. 2019;7:34-37. (In Russ.).
6. Izotova AG, Gavrilyuk ES. The level of university digitalisation as one of the key factors of competitiveness of Russian universities in the innovation economy. Issues in innovation economics. 2023;(1):421-438. (In Russ.).
7. Kokkoz MM, Zhumabai AR. Methodology of building information-analytical systems. Young scientist. 2016;(4):50-54.(In Russ.).
8. Lodde OA. Actual problems of digital transformation of the educational environment of the university. Modern problems of science and education. 2021;(5):36. (In Russ.).
9. Simonova ES, Kubanskikh OV. Advantages of virtual laboratories. Modern scientific research and innovations. 2019;(7):21-23. (In Russ.).
10. Magayeva TA, Revina SN. Transformation of competences of civil servants in the conditions of digitalisation of public administration. International research journal. 2022;(6):162-169. (In Russ.).
Review
For citations:
Bidzhiev A.O., Filimoniuk L.A. Ways to integrate artificial intelligence technologies into training programs for government and municipal employees. Newsletter of North-Caucasus Federal University. 2025;(3):194-201. (In Russ.) https://doi.org/10.37493/2307-907X.2025.3.19