Monroe Grading Agent: AI-Powered Automated Assignment Grading in Higher Education

By Sahar Bukhari, Aruna M. Jarju, Ebenezer Amakeh

Monroe Grading Agent explores the growing role of Artificial Intelligence in transforming modern academic assessment. This book presents an innovative approach to automated assignment grading using machine learning, natural language processing, and intelligent evaluation systems designed to improve grading accuracy, efficiency, and consistency in higher education. The project represents a collaborative effort of the professionals, researchers, and academic contributors of the KGS Academic Center, whose shared vision helped bring this work to life. Under the academic leadership and guidance of Dr. Aruna M. Jarju, the team worked toward developing practical AI-driven solutions that support educators, reduce grading workload, minimize bias, and provide faster, data-driven feedback to students. Combining educational theory with real-world AI applications, this book serves as a valuable resource for researchers, educators, students, and technology professionals interested in the future of intelligent learning and academic automation.

• Format: Paperback
• Language: English
• ISBN: 999934500X
• ISBN13: 9789999345002
• Release Date: May 2026
• Publisher: Eliva Press
• Length: 38 Pages
• Weight: 0.14 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"