|
KMID : 1038320230200010030
|
|
보건의료교육평가
2023 Volume.20 No. 1 p.30 ~ p.30
|
|
|
Performance of ChatGPT, Bard, Claude, and Bing on the Peruvian National Licensing Medical Examination: a cross-sectional study
|
|
Betzy Clariza Torres-Zegarra
Park Sang-Woo
Alvaro Micael Nana-Cordova
Karen Fatima Arteaga-Cisneros
Xiomara Cristina Benavente Chalco
Marina Atena Bustamante Ordonez
Carlos Jesus Gutierrez Rios
Carlos Alberto Ramos Godoy
Kristell Luisa Teresa Panta Quezada
Jesus Daniel Gutierrez-Arratia
Javier Alejandro Flores-Cohaila
|
|
|
Abstract
|
|
|
Purpose : We aimed to describe the performance and evaluate the educational value of justifications provided by artificial intelligence chatbots, including GPT-3.5, GPT-4, Bard, Claude, and Bing, on the Peruvian National Medical Licensing Examination (P-NLME).
Methods : This was a cross-sectional analytical study. On July 25, 2023, each multiple-choice question (MCQ) from the P-NLME was entered into each chatbot (GPT-3, GPT-4, Bing, Bard, and Claude) 3 times. Then, 4 medical educators categorized the MCQs in terms of medical area, item type, and whether the MCQ required Peru-specific knowledge. They assessed the educational value of the justifications from the 2 top performers (GPT-4 and Bing).
Results : GPT-4 scored 86.7% and Bing scored 82.2%, followed by Bard and Claude, and the historical performance of Peruvian examinees was 55%. Among the factors associated with correct answers, only MCQs that required Peru-specific knowledge had lower odds (odds ratio, 0.23; 95% confidence interval, 0.09?0.61), whereas the remaining factors showed no associations. In assessing the educational value of justifications provided by GPT-4 and Bing, neither showed any significant differences in certainty, usefulness, or potential use in the classroom.
Conclusion : Among chatbots, GPT-4 and Bing were the top performers, with Bing performing better at Peru-specific MCQs. Moreover, the educational value of justifications provided by the GPT-4 and Bing could be deemed appropriate. However, it is essential to start addressing the educational value of these chatbots, rather than merely their performance on examinations.
|
|
|
KEYWORD
|
|
|
Medical education, Educational measurement, Artificial intelligence, Peru
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|
|