Vectors of Social Sciences

THE ROLE OF ARTIFICIAL INTELLIGENCE IN SHAPING EDUCATIONAL POLICY AND MODERNIZING HIGHER EDUCATION

Maka Benashvili

Vectors of Social Sciences, No. 10 (2025) · ISSN 2667-9906 · E-ISSN 2960-9542

DOI: 10.51895/VSS/10/Benashvili

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Maka Benashvili    [email protected]  

 

Abstract

Over the past decade, the rapid advancement of artificial intelligence (AI) has fundamentally transformed the higher education system. AI is no longer viewed merely as a technological innovation; it has evolved into a strategic instrument that influences teaching methodologies, assessment standards, and the dynamics of academic interaction. Empirical evidence demonstrates that the integration of AI in universities significantly enhances teaching efficiency, reduces administrative workload, and fosters greater student engagement in the learning process. AI-driven learning environments enable students to work at their own pace, receive personalized feedback, and develop self-directed learning skills. However, its adoption also necessitates the development of new pedagogical strategies that effectively combine technological innovation with a human-centered approach. Furthermore, educational institutions must establish regulatory frameworks that promote the ethical and responsible implementation of AI within universities.

Despite its evident benefits, this trend also entails a range of ethical, legal, and academic challenges. Issues such as authorship and plagiarism, data security, information reliability, and the preservation of moral boundaries in education have become increasingly significant. The present study aims to analyze these dimensions comprehensively, assess both the positive and negative implications, and identify the core principles that ensure the responsible and value-based use of artificial intelligence in academia.

The findings reveal that the successful integration of AI in higher education depends not only on technological infrastructure but also on the human component - namely, the instructor’s ethical awareness, the student’s capacity for self-assessment, and institutional policies grounded in fairness and transparency.

Keywords: Artificial Intelligence, Education, Ethics, Data security.