The Future of AI in Education: How Students and Professors Adapt to Digital Transformation and AI Integration in Universities in Europe

Authors

  • Florin Alexandru Stan Bucharest University of Economic Studies Author

DOI:

https://doi.org/10.65150/EP-jsshrs/V2E4/2026-15

Keywords:

Artificial Intelligence, Digital Transformation, European Higher Education, Data Privacy, Academic Integrity

Abstract

The rapid integration of Artificial Intelligence and the overarching digital transformation of the Higher Education Area in Europe have fundamentally reshaped pedagogical paradigms. This article explores the evolving relationship between technological advancement and institutional adaptation, leveraging the theoretical frameworks of digital maturity and strategic AI implementation. To ground these theoretical perspectives, a comprehensive quantitative research study was conducted, surveying a robust sample of 1,200 students and 250 professors across diverse European universities. The empirical findings reveal a significant level of technological adoption, with over 78% of students reporting the active use of AI tools within their learning processes, while over 55% of professors have integrated AI into the preparation of instructional materials. However, this shift toward automation is met with substantial caution; over 70% of all respondents expressed profound concerns regarding the privacy and security of personal and institutional data within AI ecosystems. Furthermore, the study identifies a disciplinary divide in tool utilization: respondents from the fields of economics, physics, mathematics, and engineering demonstrate a significantly higher frequency of AI usage compared to those in creative arts, such as fashion studies, performative arts, and sculpture. These results suggest that while AI acts as a vector of change in technical and analytical disciplines, its role in creative education remains more peripheral. The article concludes by emphasizing the need for European universities to develop ethical, data-secure marketing and teaching frameworks that bridge these disciplinary gaps while addressing user skepticism.

References

1) Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education, 16(1), 39.

2) Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385.

3) Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.

4) Banihashem, S. K., Bond, M., Bergdahl, N., Khosravi, H., & Noroozi, O. (2024). A Systematic Mapping Review at the Intersection of Artificial Intelligence and Self-Regulated Learning: A call for increased theoretical grounding, focus on motivation and diversifying context. DOI: https://doi. org/10.13140/RG, 2(13057.47207).

5) Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International journal of educational technology in higher education, 20(1), 1-22.

6) Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020.

7) Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European journal of education, 57(4), 542-570.

8) Stan, F.A. (2026). University Students’ Perspectives on the Rapid Technologization of Education: A Quantitative Research on the Higher Education in Romania . International Journal Of Management And Economics Invention, 12(01), 5125–5132.

https://doi.org/10.47191/ijmei/v12i1.20

9) Stan, F. A., DORIAN, P. A., & NICOLETA, P. (2025) HOW THE USAGE OF AI INFLUENCES THE PSYCHOLOGY OF THE CONSUMER FOR EDUCATIONAL SERVICES.

10) Granström, M., & Oppi, P. (2025). Student engagement with AI tools in learning: evidence from a large-scale Estonian survey. In Frontiers in Education (Vol. 10, p. 1688092). Frontiers Media SA.

11) Qu, Y., Tan, M. X. Y., & Wang, J. (2024). Disciplinary differences in undergraduate students' engagement with generative artificial intelligence. Smart Learning Environments, 11(1), 51.

12) Stan, F. A. (2025). UNIVERSITY PROFESSORS' PERSPECTIVES ON THE RAPID TECHNOLOGIZATION OF EDUCATION: A QUANTITATIVE RESEARCH ON THE HIGHER EDUCATION IN ROMANIA. Management and Marketing Journal, 23(2), 328-338.

13) Arslan, N., Haj Youssef, M., & Ghandour, R. (2025). AI and learning experiences of international students studying in the UK: an exploratory case study. In Artificial Intelligence in Education (Vol. 1, No. 1, pp. 1-23). Emerald Publishing Limited.

14) Oliveira, A., Coelho, M., Póvoa, O., Morgado, B. G., & Guerra, C. Higher education teachers' perspectives on the ethical challenges of using artificial intelligence–A case study in the Alto Alentejo Region, Portugal. In Frontiers in Education (Vol. 11, p. 1780142). Frontiers.

15) Sejdiu, N. P., & Sejdiu, S. (2025). The quiet transformation of higher education in the AI era. Open Research Europe, 5, 249.

16) Gaebel, M., & Morrisroe, A. (2023). The future of digitally enhanced learning and teaching in european higher education institutions. European University Association absl.

17) Abedin, M. Z., Hayajneh, A., & Raahemi, B. (2026). Pedagogical Use of Responsible Generative AI in Higher Education; Opportunities and Challenges: A Systematic Literature Review. In AI in Education (Vol. 2, No. 2, p. 11). MDPI.

18) Georgescu, R. I., Bodislav, D. A., & Andrei, I. V. (2025). The acceleration of education: professors, AI platforms and the transformation of learning and human growth. Theoretical and Applied Economics, 32(4 (645), Winter), 143-154.

Downloads

Published

2026-04-27

How to Cite

Stan, F. A. (2026). The Future of AI in Education: How Students and Professors Adapt to Digital Transformation and AI Integration in Universities in Europe. Journal of Social Science and Human Research Studies, 2(04), 431-435. https://doi.org/10.65150/EP-jsshrs/V2E4/2026-15