QR Code

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...

Full description

Saved in:
Main Authors: Leo Morjaria, Levi Burns, Keyna Bracken, Anthony J. Levinson, Quang N. Ngo, Mark Lee, Matthew Sibbald
Format: Artigo
Language:Inglês
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items