Year: 2025
Type: article
Abstract: This paper examines the reliability and validity of generative AI in grading academic assignments. Through a literature review and an empirical study, this paper demonstrates that generative AI platforms are currently not a good choice for grading academic assignments due to their inconsistency and unreliability. The study involved repeatedly submitting 12 different papers with varying levels of proficiency to a generative AI platform, revealing significant inconsistencies in grading outcomes.
Author: Ferran, Carlos
Institution: Governors State University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7081582711
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