DEVELOPMENT OF MANAGERIAL PERSONNEL COMPETENCIES THROUGH ARTIFICIAL INTELLIGENCE

Authors

Abstract

The rapid advancement of innovative technologies is providing opportunities to organize the processes of training, retraining, and upskilling personnel with novel approaches. Artificial intelligence (AI), considered one of the most effective technologies of the Fourth Industrial Revolution, is fundamentally transforming educational management practices. Particularly, such technologies enable personalized learning tailored to individual needs, offering solutions that meet learners requirements on an individual basis. This article analyzes the advanced experiences of foreign countries in continuously developing managerial competencies through adaptive, mass, and electronic education systems, including the use of AI technologies. The research findings highlight the need for digital transformation in the process of developing competencies of managerial personnel working in public service in the Republic of Uzbekistan. It discusses the integration of AI tools into this system, the potential for digital governance, and its economic efficiencies.

Keywords:

artificial intelligence civil servants management personnel development of competencies digital traning digital management

References

Aljuboori, A., F., Al-lawati, H. (2023). Intelligent Adaptive E-Learning Systems: Current Approaches, Architectures, and Applications. Proceedings of the 22nd European Conference on e-Learning - ECEL 2023, Vol. 22(1), pp. 11-16. https://doi.org/10.34190/ecel.22.1.1925.

Asy’ari, M., & Sharov, S. (2024). Transforming Education with ChatGPT: Advancing Personalized Learning, Accessibility, and Ethical AI Integration. International Journal of Essential Competencies in Education, 3(2), 119-157. https://doi.org/10.36312/ijece.v3i2.2424.

Bhaskaran, S., Swaminathan, P. (2014). Intelligent Adaptive E-learning Model for Learning Management System. Research Journal of Applied Sciences, Engineering and Technology, Vol. 7(16), pp. 3298-3303. http://dx.doi.org/10.19026/rjaset.7.674.

Billiot, T. (2023), "Continuous learning and advancing technologies: a framework for professional development and training in artificial intelligence", Development and Learning in Organizations, Vol. 37 No. 3, pp. 28-31. https://doi.org/10.1108/DLO-04-2022-0064.

Casagranda, M., Colazzo, L., Molinari, A., Tomasini, S. (2010). E-Learning as an Opportunity for the Public Administration. In: Lytras, M.D., et al. Technology Enhanced Learning. Quality of Teaching and Educational Reform. TECH-EDUCATION 2010. Communications in Computer and Information Science, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13166-0_61.

Dhupia, B., Alameen, A. (2019). Adaptive eLearning System: Conceptual Framework for Personalized Study Environment. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-15-0108-1_31.

Elazab, M. (2023). AI-driven personalized learning. International Journal of Internet Education, Vol. 22(3), pp. 6-19. https://doi.org/10.21608/ijie.2024.350579.

Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024). Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning. Acta Informatica Pragensia, Vol. 13(3), pp. 460–489. https://doi.org/10.18267/j.aip.235.

Kamceva, E., Mitrevski, P. (2012). On the General Paradigms for Implementing Adaptive e-Learning Systems. ICT Innovations 2012 Web Proceedings ISSN 1857-7288, Vol. 14(7), pp. 281–289.

Kande, Sh., Goswami, P., Naul, G., Shinde, N. (2016). Adaptive and Advanced E-learning Using Artificial Intelligence. International Journal of Engineering Trends and Applications (IJETA), Vol. 3(2), pp. 34-37. ISSN: 2393-9516 www.ijetajournal.org. Published by Eighth Sense Research Group.

Manoharan, A., Manoharan, D., R. (2024), "Machine learning algorithms for personalized learning paths", International Research Journal of Modernization in Engineering Technology and Science, Vol. 6 No. 3, pp. 211-218. https://www.doi.org/10.56726/IRJMETS49965.

Mao, J., Chen, B. & Liu, J.C. Generative Artificial Intelligence in Education and Its Implications for Assessment. TechTrends 68, 58–66 (2024). https://doi.org/10.1007/s11528-023-00911-4.

Na, S. R. (2024). Application of Artificial Intelligence in Employee Training and Development. Mathematical Modeling and Algorithm Application, 1(1), 26-28. https://doi.org/10.54097/gg5eemnb.

Ramachandran, K. K., Srivastava, A., Panjwani, V., Kumar, D., Cheepurupalli, N. R., & Mohan, C. R. (2024). Developing AI-powered training programs for employee upskilling and reskilling. Journal of Informatics Education and Research, 4 (2), pp. 1186-1193. https://doi.org/10.52783/jier.v4i2.903.

Ramachandran, K. K., Srivastava, A., Panjwani, V., Kumar, D., Cheepurupalli, N. R., Mohan, Ch. R. (2024). Developing AI-powered Training Programs for Employee Upskilling and Reskilling. Journal of Informatics Education and Research, Vol. 4(2), pp. 1186-1193. https://doi.org/10.52783/jier.v4i2.903.

Tapalova, O., and Zhiyenbayeva, N., 2022. Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. The Electronic Journal of e-Learning, 20(5), pp. 639-653.

Tusquellas, N., Palau, R., Santiago, R. (2024). Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review. International Journal of Information Management Data Insights, 4 (2), pp. 1-9. https://doi.org/10.1016/j.jjimei.2024.100288.

Vanegas, C. V., Puerta, J. E. A., Ceballos, M. N., & Sánchez, J. M. M. (2024). Personalized Learning: an Adaptive Approach Based on the VARK Model to Improve Distance Education. Revista De Gestão Social E Ambiental, 18(12), e010257. https://doi.org/10.24857/rgsa.v18n12-046.

Varshney, S., Kulkarni, N.A., Syed, M.A. (2023). “Artificial Intelligence (AI) -Powered Platforms: Transforming Education and Fostering Lifelong Learning”, International Journal of Research in Business Studies and Management. 2023; 10(2): 30-35. http://doi.org/10.22259/2394-5931.1002004.

Yen, C.J., Tu, C.H., Sujo-Montes, L.E., Harati, H., & Rodas, C. R. (2019). Using personal learning environment (PLE) management to support digital lifelong learning. International Journal of Online Pedagogy and Course Design, 9(3), 13-31. https://doi:10.4018/IJOPCD.2019070102.

Downloads

Published

How to Cite

DEVELOPMENT OF MANAGERIAL PERSONNEL COMPETENCIES THROUGH ARTIFICIAL INTELLIGENCE. (2025). Advanced Economics and Pedagogical Technologies, 2(1), 398-409. https://doi.org/10.60078/3060-4842-2025-vol2-iss1-pp398-409