The book progresses systematically, beginning with foundational AI and machine learning concepts before delving into AI-powered tools for curriculum development, assessment, and fostering student participation. Case studies and empirical data offer evidence-based insights into AI's efficacy and limitations. Ethical considerations, like data privacy and algorithmic bias, are also addressed.
What sets this book apart is its actionable strategies for educators, focusing on how to evaluate and implement AI tools effectively, making it an invaluable resource for teachers, administrators, and policymakers.