AI Grading explores the use of artificial intelligence in academic assessment, addressing concerns about teacher workload, grading inconsistencies, and the need for personalized feedback. The book examines how AI tools can automate grading processes across disciplines and potentially foster fairer student evaluations. It highlights that thoughtfully designed AI-driven assessment can improve the efficiency, accuracy, and equity of grading, while acknowledging the importance of human expertise.
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.
