The book progresses by first introducing core AI concepts and their application in education, then examining personalized learning, automated administrative tools, and interactive tutoring systems using real-world case studies.
Finally, AI Lessons analyzes the ethical considerations and challenges associated with AI in education, such as data privacy and algorithmic bias, offering practical recommendations for educators and policymakers. It emphasizes the importance of understanding the historical context of educational technology to fully appreciate AI's current capabilities and future potential in K-12 education, higher education, and lifelong learning.