Research Article

Leveraging Artificial Intelligence to Predict Future Trends in University Rankings

Wai Yie Leong 1 *
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1 Faculty of Engineering and Quantity Surveying, INTI International University, Nilai, Malaysia* Corresponding Author
Educational Innovations and Emerging Technologies, 6(2), June 2026, 50-59, https://doi.org/10.35745/eiet2026v06.02.0006
Submitted: 13 October 2024, Published: 30 June 2026
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ABSTRACT

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.
Keywords: University rankings, Artificial intelligence, Machine learning, Predictive analysis, Higher education, Data science

CITATION (APA)

Leong, W. Y. (2026). Leveraging Artificial Intelligence to Predict Future Trends in University Rankings. Educational Innovations and Emerging Technologies, 6(2), 50-59. https://doi.org/10.35745/eiet2026v06.02.0006

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