Leveraging Artificial Intelligence to Predict Future Trends in University Rankings

University rankings play a pivotal role in shaping academic reputations, influencing student choices, and guiding policy decisions. In recent years, the traditional metrics used in ranking methodologies have come under scrutiny for their limitations in adapting to the rapidly changing landscape of higher education. This paper explores the application of artificial intelligence (AI) and machine learning (ML) techniques to predict future trends in university rankings, aiming to provide a more comprehensive and dynamic model for ranking universities. By analyzing historical data, key factors influencing rankings, and the role of emerging fields such as interdisciplinary research and online education, we develop an AI-powered predictive framework that can forecast future changes in rankings with improved accuracy.