AI and ML Applications in Data-Informed Leadership: Transforming Higher Education

Abstract

This chapter explores the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) applications in fostering data-informed leadership within higher education institutions. With data available in academic settings, leveraging AI and ML technologies becomes imperative for effective decision-making and strategic planning. Through a comprehensive examination of case studies, best practices, and emerging trends, this chapter elucidates how AI and ML enable leaders in higher education to harness actionable insights from diverse data sources, optimize resource allocation, enhance student outcomes, and drive innovation across various operational domains. Furthermore, it addresses key considerations such as ethical implications, privacy concerns, and the importance of human expertise in complementing AI-driven decision support systems. By embracing AI and ML applications, leaders in higher education can navigate complexities, anticipate future challenges, and propel their institutions toward excellence and sustainability in the rapidly evolving educational landscape.

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