Lecturers’ Professional Readiness for the Use of AI: An Analysis of Students’ Perceptions

Authors

Dea Pirtskhalaishvili
Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business
https://orcid.org/0000-0002-8667-414X
Natalia Kharadze
Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business
https://orcid.org/0000-0002-5800-0957

Synopsis

The need for AI integration in higher education is growing. It is worth noting that, along with regulations and a systematic approach, the lecturer plays a fundamentally important role, as the student interacts with the lecturer on a daily basis. As part of the research, we analyzed students' perceptions of lecturers' attitudes and professional readiness towards artificial intelligence. The study was conducted at Ivane Javakhishvili Tbilisi State University, in which 791 students participated. The SPSS statistical software package was used to analyze the obtained results. The article presents hypotheses and develops relevant recommendations. According to some students, lecturers' attitude towards artificial intelligence is negative. Furthermore, they believe that lecturers' fear or distrust of AI somewhat limits students. The research identified challenges that can be eliminated by raising the awareness of professors and forming a unified system.

Author Biographies

Dea Pirtskhalaishvili, Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business

Tbilisi, Georgia. E-mail: dea.pirtskhalaishvili@tsu.ge

Natalia Kharadze, Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business

Tbilisi, Georgia. E-mail: natalia.kharadze@tsu.ge

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Published

July 3, 2026

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Pirtskhalaishvili, D., & Kharadze, N. (2026). Lecturers’ Professional Readiness for the Use of AI: An Analysis of Students’ Perceptions. In J. Belak & S. Oberman Peterka (Eds.), Sustainable Governance in the Age of Artificial Intelligence: Interdisciplinary Perspectives on ESG, Digital Transformation and Corporate Responsibility (pp. 119-130). University of Maribor Press. https://doi.org/10.18690/um.epf.7.2026.7