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

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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Bibliographic Details
Main Authors: Leo Morjaria, Levi Burns, Keyna Bracken, Anthony J. Levinson, Quang N. Ngo, Mark Lee, Matthew Sibbald
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:International Medical Education
Subjects:
ChatGPT
artificial intelligence
short-answer assessment
automated grading
generative AI
undergraduate medical education
Online Access:https://www.mdpi.com/2813-141X/3/1/4

Internet

https://www.mdpi.com/2813-141X/3/1/4

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