This book presents the first integrated framework bridging universal AI ethics with maq¿¿id al-shar¿¿a to guide responsible AI adoption in education. It moves beyond abstract principles, offering context-sensitive tools that connect values to concrete decisions about system design, data governance, and institutional policy. Thirteen chapters progress from conceptual foundations, mapping stakeholders, bias risks, and tool ecologies to actionable instruments including equity-by-design rubrics, transparency checklists, and governance pathways. The dual-lens approach brings universal safeguards grounded in fairness, accountability, and human dignity into dialogue with purpose-driven ethical reasoning centered on human flourishing. Written for educators, policymakers, designers, and researchers, it equips readers to govern educational AI that protects learner agency, supports teacher professionalism, and promotes justice across diverse contexts.