TRANSFORMATIONAL LEADERSHIP AND ARTIFICIAL INTELLIGENCE IN UNIVERSITY EDUCATIONAL MANAGEMENT: A LITERATURE REVIEW

Abstract

This study presents a bibliographic literature review on transformational leadership and artificial intelligence in university educational management, based on the analysis of 22 scientific articles published between 2019 and 2025 in the Scopus and ERIC databases. The selected studies address topics such as learning analytics, academic prediction, personalized teaching, administrative automation, and intelligent decision-making systems. The findings indicate that the integration of artificial intelligence improves operational efficiency, strengthens institutional management, and enables more personalized and adaptive educational environments. Common patterns were identified regarding real-time feedback, curriculum adaptation, and academic risk prevention. However, ethical challenges remain, particularly those related to algorithmic transparency, data privacy, and the digital divide. The review concludes that the convergence of transformational leadership and emerging technologies is a strategic pathway to building more effective, inclusive, and learning-centered models of educational governance.