The book delves into case studies and research demonstrating AI's effectiveness in improving test accuracy through automated performance tracking and personalized feedback. It highlights AI's role in optimizing exams for enhanced validity and reliability.
The book also acknowledges the necessity for careful validation to prevent biases and addresses ethical considerations in data privacy and student monitoring. It progresses from foundational AI concepts to practical applications across educational settings.