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Examining the Efficacy of ChatGPT in Marking Short-Answer Assessments in an Undergraduate Medical Program

Traditional approaches to marking short-answer questions face limitations in timeliness, scalability, inter-rater reliability, and faculty time costs. Harnessing generative artificial intelligence (AI) to address some of these shortcomings is attractive. This study aims to validate the use of ChatGP...

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Bibliografische gegevens
Hoofdauteurs: Leo Morjaria, Levi Burns, Keyna Bracken, Anthony J. Levinson, Quang N. Ngo, Mark Lee, Matthew Sibbald
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-01-01
Reeks:International Medical Education
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Online toegang:https://www.mdpi.com/2813-141X/3/1/4
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