SYNERGY OF MOTIVATIONAL STRATEGIES AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN FORMING THE CREATIVE ABILITIES OF FUTURE MANAGERS

Authors

DOI:

https://doi.org/10.32782/pdau.pma.2025.4.6

Keywords:

motivational strategies; artificial intelligence; creative abilities; future managers; digital education; emotional intelligence; synergy effect

Abstract

The article explores the theoretical and methodological foundations of combining motivational strategies and artifi- cial intelligence (AI) technologies in developing creative abilities of future managers. It substantiates that motivation is a key factor in enhancing students’ creative potential, while AI serves as a powerful tool for personalizing the learning process and fostering innovative thinking. The paper identifies the main types of motivational strategies – intrinsic, achievement-oriented, project-based, and cooperative – as the basis for forming internal readiness for creativity. It also outlines the main directions of AI application in higher education: adaptive learning, idea generation, simulation of management situations, and facilitation of collective creativity. The study demonstrates that the synergy between motivational strategies and AI technologies enhances the cognitive, emotional-volitional, and motivational components of creativity, improves academic performance, and increases the competitiveness of future professionals. It concludes that integrating these approaches represents one of the most promising directions for modern education focused on innovation and sustainable development. The article also highlights the prospects for further research, including the development of integrated educational platforms, diagnostic tools for measuring synergistic effects, and studies on the ethical and emotional aspects of AI-supported learning in management education. The research results have practical value for improving professional training methods for future managers in the context of digital transformation.

References

Gorodianska L. V. Motivation of managers of business entities in times of crisis and war: challenges and transformations. Financial and credit systems: prospects for development: collection of scientific works. Kharkiv: V.N. Karazin Kharkiv National University. 2025. № 3 (18). pp. 190-203. DOI: https://doi.org/10.26565/2786-4995-2025-3- 15 (дата звернення: 21.09.2025).

Городянська Л. В. Роль мотивації у зміцненні людського капіталу підприємств в кризових умовах. Актуальні проблеми економіки. 2025. № 7 (289). С. 149-158. DOI: https://doi.org/10.32752/1993-6788-2025-1-289-149-158 (дата звернення: 21.09.2025).

Городянська Л. В. Мотиваційні аспекти професійного розвитку менеджерів зовнішньоекономічної діяльності в кризових умовах. Актуальні проблеми в системі освіти: заклад загальної середньої освіти – доуніверситетська підготовка – заклад вищої освіти. 2025. № 5. С. 306-315. URL: https://er.nau.edu.ua/handle/NAU/67545 (дата звернення: 21.09.2025).

Kamberi M. The types of intrinsic motivation as predictors of academic achievement: the mediating role of deep learning strategy. Cogent Education. 2025, Vol. 12, № 1. pp. 1-16. URL: https://doi.org/10.1080/2331186X.2025.2482482 (дата звернення: 21.09.2025).

Городянська Л. В. Напрями розвитку емоційного інтелекту та командної взаємодії на підприємствах. Формування компетентностей обдарованої особистості в системі позашкільної та вищої освіти. 2024. № 3. С. 197-205. URL: https://er.nau.edu.ua/handle/NAU/66049 (дата звернення: 21.09.2025).

Пальчук О. І. Штучний інтелект як новий інструмент формування освітньої системи. Актуальні проблеми економіки. 2025. № 3 (285). С. 306-316. URL: https://eco-science.net/wp-content/uploads/2025/03/3.25._topic_Olena-Palchuk-306-316.pdf (accessed 21.09.2025).

Smith J., Johnson R. Adaptive Learning Technologies and Individual Learning Paths. Journal of Educational Technology. 2022. Vol. 19, № 2. pp. 105-117.

Brown P., Lauder H., Ashton D. Artificial Intelligence and Inequality in Education. Research Policy. 2023. Vol. 52. № 1. pp. 104–118.

OECD. Artificial Intelligence in Society. 2019. URL: https://www.oecd.org/going-digital/ai/ (accessed 21.09.2025).

Hao Ji, Lingling Suo, Hua Chen. AI performance assessment in blended learning: mechanisms and effects on students’ continuous learning motivation. Front. Psychol. 2024. Vol. 15. DOI: https://doi.org/10.3389/fpsyg.2024.1447680 (accessed 21.09.2025).

Published

2025-11-24

How to Cite

Gorodianska, L. (2025). SYNERGY OF MOTIVATIONAL STRATEGIES AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN FORMING THE CREATIVE ABILITIES OF FUTURE MANAGERS. Bulletin of Poltava State Agrarian University. Public Management and Administration, (4), 38–41. https://doi.org/10.32782/pdau.pma.2025.4.6