Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance

This study investigates students' aversion to AI grading systems compared to human professors, focusing on how dissatisfaction with the current evaluation system and grade outcomes affect fairness perceptions. Drawing from 228 college students in South Korea, the experiment tested three hypothe...

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Bibliographic Details

Published in:	Computers and Education: Artificial Intelligence
Main Authors:	S. Mo Jones-Jang, Myojung Chung, Jihyang Choi, Nuri Kim, Sangwon Lee
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Artificial intelligence AI Discontent with status quo Fairness Outcome favorability
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666920X25000591