The book begins by introducing core concepts of AI-assisted grading, such as automated essay scoring and personalized feedback generation. It then progresses to examine the application of AI in specific subject areas like STEM and humanities, analyzing case studies and evaluating the effectiveness of various AI tools.
Ultimately, AI Grading synthesizes findings, addressing concerns about bias and data privacy, and presents practical guidelines for educators and institutions seeking to integrate AI grading tools effectively.