The Role of AI in Transformational Change in Higher Education From VUCA- to FLUX-World
Vilmos Vass (),
Kinga Szálkai () and
József Zoltán Málik ()
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Vilmos Vass: Budapest Metropolitan University, College Professor
Kinga Szálkai: Budapest Metropolitan University, Associate Professor
József Zoltán Málik: Budapest Metropolitan University, Associate Professor
A chapter in Proceedings of the Kautz Conference on Business and Economics 2025 (KCBE 2025), 2026, pp 120-135 from Springer
Abstract:
Abstract The link between higher education and socio-economic development has been redefined in the light of the knowledge economy and the changing labor market, with an increasing emphasis on cognitive, social, and technological skills. With the rise of AI and the transition from a VUCA world to a FLUX world, new competencies are emerging. Our research uses Budapest Metropolitan University as an example to examine how institutions are responding to these challenges. This study aims (i) to contribute to both national and international discussions on AI-driven educational innovation, emphasizing a competency development perspective rather than a purely technological one, with a focus on the link between soft skills and the future of education under the umbrella of transformative change in higher education. Through thematic coding, (ii) to identify which skills have emerged as priorities, and what types of pedagogical innovation have been introduced. Our conclusion is that learning support AI tools (e.g. chatbot, recommender system, feedback engine), automatic assessment systems (e.g. essay improvement using AI) and the development of reflective thinking (e.g. learning diary analysis using AI, career portfolio) will make the transformation process in higher education more effective, especially with regard to the challenges of the knowledge economy and the skill gap and the process from VUCA to FLUX-world.
Keywords: artificial intelligence; FLUX; higher education; VUCA (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-658-6_7
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DOI: 10.2991/978-94-6239-658-6_7
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