In recent years, AI has made significant strides across various domains, from natural language processing to computer vision. Its application in education holds immense promise. By understanding student behavior, adapting content delivery, and personalizing learning experiences, AI can revolutionize how we teach and learn. However, educators often lack a clear understanding of AI's capabilities and limitations. This book aims to bridge that gap by providing up to date information relating to broader ethical and philosophical concerns, while specifically addressing practical insights, case studies, and evidence-based strategies for practitioners at all levels.
The intended audience for this edited books is K-12 teachers, administrators, as well as higher education professors and future teachers.