Improving The Process of Developing Management Personnel Competencies Through Artificial Intelligence
DOI:
https://doi.org/10.31150/ajebm.v8i1.3200Keywords:
civil servants, management personnel, competencies, digitalization,, innovative technologies, artificial intelligence, digital management, intelligent information systemAbstract
The rapid development of artificial intelligence (AI) technologies has introduced intelligent approaches in various fields. In particular, these technologies play an invaluable role in modernizing the processes of training, retraining, and ensuring the continuous professional development of managerial personnel. This article presents the results of a survey conducted among more than 500 managers working in the public sector to assess the effectiveness of organizing continuous professional development courses and the use of AI technologies in this process. Based on the research results, taking into account the survey results and advanced international practices, an intelligent information system model is proposed. This system is designed to assess the competencies of managerial personnel and automatically recommend key competencies that they need to develop. In addition, the article offers suggestions for mechanisms to digitally manage the process of improving professional competencies, assessing its economic efficiency, and integrating AI tools into this area.
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References
X. Neumeyer, M. Liu (2021). “Managerial Competencies and Development in the Digital Age” – IEEE Engineering Management Review ( Volume: 49, Issue: 3, 01) – pp. 49-55. DOI:10.1109/EMR.2021.3101950.
L. Mina-Raiu, C. Valentin Raiu, M. Comăniciu (2024). “Improving the quality of civil servantsʼ professional training process through digitalization – an exploratory research from employeesʼ perspective” – The journal of national institute of statistics; Volume 1, March 2024. Pp. 43-64.
A. Stadler, R. Camargo, M. Maioli (2017). “E-Learning as A Training Tool for Civil Servants: A Case in the State of Parana — Brazil” – Turkish Online Journal of Distance Education 18(2), pp. 94-104. DOI:10.17718/tojde.306562.
A. Harry (2023). “Role of AI in Education” – Injuruty: Interdiciplinary Journal and Humanity; Volume 2, Number 3, March 2023 e-ISSN: 2963-4113 and p-ISSN: 2963-3397, pp. 260-268. DOI:10.58631/injurity.v2i3.52.
L.V. Zinich, N.A. Kuznetsova, O.V. Kondratieva (2022) “Featuring Professional Development Of Civil Servants”. In I. Savchenko (Ed.), Freedom and Responsibility in Pivotal Times, vol 125. European Proceedings of Social and Behavioural Sciences (pp. 1073-1080). European Publisher. https://doi.org/10.15405/epsbs.2022.03.128.
M.Khrykov, M.Ptakhina, V.Sych, I.Dzvinchuk (2023). “Exploring the landscape of e-learning for lifelong education of public servants: trends, challenges, and implications” – CTE Workshop Proceedings, 2023, Vol. 10: CITEd-2022, pp. 64-84. https://doi.org/10.55056/cte.546.
Yang, R., Ruan, J., (2007). In IFIP International Federation for Information Processing, Volume 252, Integration and Innovation Orient to E-Society Volume 2, eds. Wang, W., (Boston: Springer), pp. 574-581.
Khrykov, Y., Ptakhina, O., Sych, T., Dzvinchuk, D. and Kormer, M. (2020). Trends in the Development of e-Learning for Civil Servants. In Proceedings of the 1st Symposium on Advances in Educational Technology (AET 2020) - Volume 2, pp: 126-140. DOI: 10.5220/0010929400003364.
Kamenev R. V., Klassov A. B., Krasheninnikov V. V. (2021). The concept of using artificial intelligence in distance learning // Journal of Pedagogical Innovations. 2021;(4):30–41.
A. F. Aljuboori, H. Al-lawati (2023). “Intelligent Adaptive E-Learning Systems: Current Approaches, Architectures, and Applications” - Proceedings of the 22nd European Conference on e-Learning, ECEL 2023: Vol. 22 No. 1 (2023), pp. 11-16. DOI: https://doi.org/10.34190/ecel.22.1.1925.
S. Bhaskaran, P. Swaminathan (2014). “Intelligent Adaptive E-learning Model for Learning Management System” - Research Journal of Applied Sciences, Engineering and Technology: Volume: 7(16), pp. 3298-3303. DOI:10.19026/rjaset.7.674.
S. Das, A. Panigrahi, R. Stiffin, J. K. Das (2024). “The Rise of Artificial Intelligence in Education: Current Trends and Future Prospects” - Life as Basic Science: An Overview and Prospects for the Future Volume: 1, pp. 57-67. ISBN: 978-81-969828-9-8 doi: https://doi.org/10.52756/lbsopf.2024.e01.006.
A.Harry (2023). Role of AI in Education. Injuruty: Interdiciplinary Journal and Humanity. Volume 2, Number 3, March 2023. e-ISSN: 2963-4113 and p-ISSN: 2963-3397. pp. 260-268. DOI:10.58631/injurity.v2i3.52.
Feitosa, R.G.F., Campos, G.A.L.d., Santos, I.d.S. et al (2024). Competency and Skill-Based Educational Recommendation System. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-024-00423-z.
R. AlAli, Y. Wardat, K. Al-Saud, K. Alhayek (2024). Generative AI in Education: Best Practices for Successful Implementation. International Journal of Religion 2024 Volume: 5, Number 9, pp. 1016 – 1025, ISSN: 2633-352X (Print), ISSN: 2633-3538 (Online), DOI: https://doi.org/10.61707/pkwb8402.
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024). Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning. Acta Informatica Pragensia, 13(3), 460–489. https://doi.org/10.18267/j.aip.235
