John Pham, Krista L Donohoe, Dayanjan Wijesinghe, Benjamin Van Tassell, Sarah E Wheeler, Apryl N Peddi
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Comparison of Peer, Near-Peer, and AI-Assisted Methods to Faculty Grading of SOAP Notes.
Objective: The objective of this study was to determine which approach (peer, near-peer, ChatGPT Plus, or an in-house implementation of a GPT-4-based application referred to as GRADES) was the closest to faculty grading of SOAP notes.
Methods: Second-year pharmacy students (n=83) completed a practice SOAP note. Five methods were used to grade the SOAP notes: faculty, peer, near-peer, ChatGPT Plus, and GRADES. Variability in rubric scores among grading methods was analyzed using Friedman one-way repeated measures ANOVA with post-hoc testing. Time was tracked for each grading method to evaluate efficiency.
Results: The median scores and interquartile ranges for each grading method were as follows: faculty (65% [56% - 71%], peer (78% [62% - 88%]), near-peer (77% [72% - 86%]), ChatGPT Plus (87% [80% - 91%]), and GRADES (66% [57% - 73%]). Peer-, near-peer, and ChatGPT scores were statistically different from faculty scores. Scores from GRADES were not significantly different from faculty grading.
Conclusion: The use of an in-house implementation of GPT-4 (GRADES), with faculty oversight, resulted in similar rubric scores to a faculty grader.
期刊介绍:
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