Multiple-Choice Tests: A-Z in Best Writing Practices

Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial

BACKGROUND

ChatGPT is a natural language processing model developed by OpenAI, which can be iteratively updated and optimized to accommodate the changing and complex requirements of human verbal communication.

OBJECTIVE

The study aimed to evaluate ChatGPT's accuracy in answering orthopedics-related multiple-choice questions (MCQs) and assess its short-term effects as a learning aid through a randomized controlled trial. In addition, long-term effects on student performance in other subjects were measured using final examination results.

METHODS

We first evaluated ChatGPT's accuracy in answering MCQs pertaining to orthopedics across various question formats. Then, 129 undergraduate medical students participated in a randomized controlled study in which the ChatGPT group used ChatGPT as a learning tool, while the control group was prohibited from using artificial intelligence software to support learning. Following a 2-week intervention, the 2 groups' understanding of orthopedics was assessed by an orthopedics test, and variations in the 2 groups' performance in other disciplines were noted through a follow-up at the end of the semester.

RESULTS

ChatGPT-4.0 answered 1051 orthopedics-related MCQs with a 70.60% (742/1051) accuracy rate, including 71.8% (237/330) accuracy for A1 MCQs, 73.7% (330/448) accuracy for A2 MCQs, 70.2% (92/131) accuracy for A3/4 MCQs, and 58.5% (83/142) accuracy for case analysis MCQs. As of April 7, 2023, a total of 129 individuals participated in the experiment. However, 19 individuals withdrew from the experiment at various phases; thus, as of July 1, 2023, a total of 110 individuals accomplished the trial and completed all follow-up work. After we intervened in the learning style of the students in the short term, the ChatGPT group answered more questions correctly than the control group (ChatGPT group: mean 141.20, SD 26.68; control group: mean 130.80, SD 25.56; P=.04) in the orthopedics test, particularly on A1 (ChatGPT group: mean 46.57, SD 8.52; control group: mean 42.18, SD 9.43; P=.01), A2 (ChatGPT group: mean 60.59, SD 10.58; control group: mean 56.66, SD 9.91; P=.047), and A3/4 MCQs (ChatGPT group: mean 19.57, SD 5.48; control group: mean 16.46, SD 4.58; P=.002). At the end of the semester, we found that the ChatGPT group performed better on final examinations in surgery (ChatGPT group: mean 76.54, SD 9.79; control group: mean 72.54, SD 8.11; P=.02) and obstetrics and gynecology (ChatGPT group: mean 75.98, SD 8.94; control group: mean 72.54, SD 8.66; P=.04) than the control group.

CONCLUSIONS

ChatGPT answers orthopedics-related MCQs accurately, and students using it excel in both short-term and long-term assessments. Our findings strongly support ChatGPT's integration into medical education, enhancing contemporary instructional methods.

TRIAL REGISTRATION

Chinese Clinical Trial Registry Chictr2300071774; https://www.chictr.org.cn/hvshowproject.html ?id=225740&v=1.0.

Implementation of the São Paulo Nursing Courses Consortium for the Progress Test: experience report

OBJECTIVE

To report the experience of implementing the São Paulo Nursing Courses Consortium for the Progress Test.

METHOD

This is an experience report of the consortium's work in Progress Test preparation and application for Public Schools of Nursing in São Paulo in 2019, 2021 and 2022, with a descriptive analysis of the work process and the results obtained.

RESULTS

The consortium's activities are structured into the following stages: planning; theme review; distributing and requesting questions; professor training; question elaboration; question reception; question selection; question validation; student registration; test application; analysis and dissemination of results. A total of 57.3% of enrolled students participated. There was a predominance of questions of medium difficulty and a gradual progression in the level of discrimination of the questions, with, in 2022, 82.5% being considered adequate.

FINAL CONSIDERATIONS

The consortium has allowed the test to be applied interinstitutionally, with greater scope, accuracy, and quality of questions. Through this experience, it is expected to encourage progress testing in undergraduate nursing courses in other contexts.