Comparative Analysis of NCLEX-RN Questions: A Duel Between ChatGPT and Human Expertise.
Abstrak
BACKGROUND Artificial intelligence (AI) has the potential to revolutionize nursing education. This study compared NCLEX-RN questions generated by AI and those created by nurse educators. METHOD Faculty of accredited baccalaureate programs were invited to participate. Likert-scale items for grammar and clarity of the item stem and distractors were compared using Mann-Whitney U, and yes/no questions about clinical relevance and complex terminology were analyzed using chi-square. A one-sample binomial test with confidence intervals evaluated participants' question preference (AI-generated or educator-written). Qualitative responses identified themes across faculty. RESULTS Item clarity, grammar, and difficulty were similar for AI and educator-created questions. Clinical relevance and use of complex terminology was similar for all question pairs. Of the four sets with preference for one item, three were generated by AI. CONCLUSION AI can assist faculty with item generation to prepare nursing students for the NCLEX-RN examination. Faculty expertise is necessary to refine questions written using both methods. [J Nurs Educ. 2023;62(12):679-687.].
Topik & Kata Kunci
Penulis (3)
R. Cox
Karen Hunt
R. R. Hill
Akses Cepat
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Cek di sumber asli →- Tahun Terbit
- 2023
- Bahasa
- en
- Total Sitasi
- 20×
- Sumber Database
- Semantic Scholar
- DOI
- 10.3928/01484834-20231006-07
- Akses
- Open Access ✓