Agentic AI streamlines complex processes and enhances institutional agility. Building on advances in AI, these systems coordinate tasks with minimal human intervention. By integrating data across departments and adapting in real time, agentic AI enables universities to reduce administrative burden, improve decision-making, and deliver more responsive services to students and staff. As institutions navigate growing demands for efficiency, transparency, and personalization, the adoption of agentic AI offers a path to more resilient and data-driven administration systems. Agentic AI for Transforming Higher Education Administration Systems examines the emerging shift from tool-based AI toward agentic AI systems capable of autonomous reasoning, decision-making, and adaptive collaboration within academic environments. It explores how this transition reshapes governance, pedagogy, research ecosystems, institutional leadership, and ethical frameworks in higher education. This book covers topics such as data science, agentic AI, and educational technology, and is a useful resource for educators, engineers, academicians, researchers, and scientists.
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