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How Chatbots Respond to NCLEX-RN Practice Questions: Assessment of Google Gemini, GPT-3.5, and GPT-4
Alejandro García-Rudolph1, David Sanchez-Pinsach, Mira Caridad Fernandez
1About the Authors Alejandro García-Rudolph, PhD; David Sanchez-Pinsach, PhD; Mira Caridad Fernandez, MSc; Sandra Cunyat, MSc; Eloy Opisso, PhD; and Elena Hernandez-Pena, MSc, are faculty, Institut Guttmann Hospital de Neurorehabilitació, Barcelona, Spain. The authors are grateful to Olga Araujo of the Institut Guttmann-Documentation Office for her support in accessing the literature. For more information, contact Dr. Alejandro García-Rudolph at alejandropablogarcia@gmail.com .
Abstract:
ChatGPT often "hallucinates" or misleads, underscoring the need for formal validation at the professional level for reliable use in nursing education. We evaluated two free chatbots (Google Gemini and GPT-3.5) and a commercial version (GPT-4) on 250 standardized questions from a simulated nursing licensure exam, which closely matches the content and complexity of the actual exam. Gemini achieved 73.2 percent (183/250), GPT-3.5 achieved 72 percent (180/250), and GPT-4 reached a notably higher performance with 92.4 percent (231/250). GPT-4 exhibited its highest error rate (13.3%) in the psychosocial integrity category.
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