ARTIFICIAL INTELIGENCE IN EDUCATIONAL ADMINISTRATION AND INFLUENCING DECISION-MAKING

Abstract

Artificial Intelligence (AI) is transforming decision-making in higher education by enabling data-driven 
insights, predictive analytics, and automated processes. This paper explores the applications of AI in 
academic administration, student performance prediction, resource allocation, and faculty evaluation. The 
study highlights the benefits of AI-driven decision-making, such as improved efficiency and personalized 
learning, while addressing ethical challenges, including bias and data privacy concerns. A review of recent 
studies demonstrates AI's growing influence on institutional governance and educational strategies. Future 
recommendations emphasize the need for ethical AI implementation, regulatory frameworks, and faculty 
training to maximize AI's potential in higher education.