This study explores the integration of Intelligent Tutoring Systems (ITS) within educational settings to enhance personalized learning. Grounded in key theoretical frameworks, including Constructivist Learning Theory, Cognitive Load Theory, and Self-Determination Theory (SDT), the research examines how these theories inform the effective implementation of ITS in fostering student engagement and autonomy. Utilizing a qualitative methodology, the study involved a comprehensive documentary review and document analysis to investigate the multifaceted impacts of ITS on personalized learning experiences. Findings indicate that ITS significantly contribute to tailoring educational experiences to individual student needs, enhancing motivation and facilitating deeper understanding. The study concludes with recommendations for school administrators, emphasizing the importance of professional development, stakeholder engagement, and ongoing evaluation to optimize the use of ITS in promoting personalized learning. These insights provide a roadmap for leveraging artificial intelligence in educational administration to create more inclusive and effective learning environments.