Abstract

This study investigates the extent to which Industry 5.0-related content, technologies, and practical components are integrated into higher education institutions in Poland. The findings reveal significant disparities based on institutional type and academic profile. Technical and public universities show the highest levels of readiness for digital transformation, while pedagogical, vocational, and artistic institutions (particularly private ones) demonstrate lower integration and limited access to relevant specializations. Using multiple correspondence analysis (MCA) and hierarchical clustering (HCPC), the research identifies latent structures and clusters of institutions with distinct digital adaptation profiles. Chi-square and Cramér’s V tests further confirm significant associations between institutional characteristics and Industry 5.0 readiness. The results highlight systemic inequalities and emphasize the need for differentiated policy interventions to support less advanced institutions in bridging the digital transformation gap.

Recommended Citation

Sączewska-Piotrowska, A., Bartuś, K. & Hadasik, B. (2025). Preparing higher education for artificial intelligence development in the evolving landscape of Industry 5.0: A study of Polish universitiesIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.111

Paper Type

Full Paper

DOI

10.62036/ISD.2025.111

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Preparing higher education for artificial intelligence development in the evolving landscape of Industry 5.0: A study of Polish universities

This study investigates the extent to which Industry 5.0-related content, technologies, and practical components are integrated into higher education institutions in Poland. The findings reveal significant disparities based on institutional type and academic profile. Technical and public universities show the highest levels of readiness for digital transformation, while pedagogical, vocational, and artistic institutions (particularly private ones) demonstrate lower integration and limited access to relevant specializations. Using multiple correspondence analysis (MCA) and hierarchical clustering (HCPC), the research identifies latent structures and clusters of institutions with distinct digital adaptation profiles. Chi-square and Cramér’s V tests further confirm significant associations between institutional characteristics and Industry 5.0 readiness. The results highlight systemic inequalities and emphasize the need for differentiated policy interventions to support less advanced institutions in bridging the digital transformation gap.