The integration of agentic AI into educational systems reshapes teaching, learning, and institutional dynamics. From personalized tutoring and adaptive assessments to curriculum design and administrative decision-making, agentic AI promises increased efficiency and customization. It also raises complex questions about accountability, agency, equity, and the evolving roles of educators and learners. A comprehensive, cross-disciplinary perspective is essential to harness the potential of agentic AI while safeguarding human-centered educational values. Multidisciplinary Perspectives on Agentic AI in Educational Systems explores the transformative role of agentic AI, AI systems with autonomy, adaptability, and decision-making capabilities, in educational systems. It examines theoretical foundations, technological advancements, ethical and legal implications, and policy strategies to effectively integrate AI in education. This book covers topics such as ethics and law, educational technologies, and inclusive education, and is a useful resource for educators, computer engineers, policymakers, academicians, researchers, and scientists.