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 hypotheses:...

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Autori principali:	S. Mo Jones-Jang, Myojung Chung, Jihyang Choi, Nuri Kim, Sangwon Lee
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-06-01
Serie:	Computers and Education: Artificial Intelligence
Soggetti:	Artificial intelligence AI Discontent with status quo Fairness Outcome favorability
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2666920X25000591
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