Dulkadir Yaman

The integration of AI into education transforms how knowledge is delivered, assessed, and accessed in a digital learning environment. As schools and universities adopt AI-driven tools for personalization, automation, and data analytics, ethical questions emerge around privacy, bias, transparency, and equity. The digital shift in education requires thoughtful governance and ethical frameworks to ensure AI enhances learning outcomes without reinforcing social inequalities or undermining academic integrity. Understanding the intersection of AI, ethics, and digital transformation may help shape an educational future that is innovative and responsible. AI, Ethics, and the Digital Shift in Education explores how AI reshapes educational systems when shifting toward digital learning environments. It examines the ethical implications of AI adoption in education, including issues of fairness, data privacy, accountability, and equitable access to learning opportunities. This book covers topics such as digital technology, skill development, and special education, and is a useful resource for educators, engineers, academicians, researchers, and scientists.