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Comparative Analysis of NCLEX-RN Questions: A Duel Between ChatGPT and Human Expertise
The Journal of Nursing Education
|December 4, 2023
Summary
Artificial intelligence (AI) can help create NCLEX-RN questions for nursing education. AI-generated questions were preferred by participants, showing AI’s potential to assist educators.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Educational Assessment
Background:
- Artificial intelligence (AI) presents transformative potential for nursing education.
- This study investigated the efficacy of AI-generated versus educator-created NCLEX-RN style questions.
Purpose of the Study:
- To compare the quality and faculty preference of AI-generated versus traditionally developed NCLEX-RN questions.
- To assess the role of AI in enhancing nursing education and assessment tools.
Main Methods:
- Faculty from accredited baccalaureate programs evaluated AI-generated and educator-written questions.
- Statistical analyses (Mann-Whitney U, chi-square, binomial test) compared grammar, clarity, clinical relevance, and terminology.
- Qualitative analysis explored faculty themes regarding question generation.
Main Results:
- AI-generated and educator-created questions demonstrated comparable clarity, grammar, and difficulty.
- Clinical relevance and complex terminology were similar across both question types.
- Participants showed a preference for AI-generated questions in three out of four evaluated sets.
Conclusions:
- AI shows promise as a tool to aid faculty in generating NCLEX-RN style questions.
- Faculty expertise remains crucial for refining AI-assisted and educator-developed assessment items.
- AI can support nursing education by streamlining the creation of practice materials for the NCLEX-RN examination.
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