"AI and ML Applications for Decision-Making in Education Sector: Volume 1" offers a groundbreaking exploration into the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies in educational decision-making processes. This comprehensive guide illuminates the transformative potential of AI and ML applications in optimizing student outcomes, enhancing engagement, and informing strategic decisions within the education sector. From personalized learning pathways to predictive analytics for student success, each chapter delves into innovative approaches that empower educators and administrators to make data-driven decisions. Through insightful analysis, case studies, and practical recommendations, this book equips readers with the knowledge and tools necessary to harness the full potential of AI and ML technologies in shaping the future of education. Whether you're an educator, administrator, or policymaker, this volume serves as an indispensable resource for navigating the complexities of modern education and leveraging technology to drive positive change.