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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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Principais autores: S. Mo Jones-Jang, Myojung Chung, Jihyang Choi, Nuri Kim, Sangwon Lee
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-06-01
coleção:Computers and Education: Artificial Intelligence
Assuntos:
Artificial intelligence
AI
Discontent with status quo
Fairness
Outcome favorability
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2666920X25000591
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