AI-Supported Standardized Patients to Strengthen Early Clinical Judgment in Nursing Students

Background: Early clinical judgment is essential for Next Generation NCLEX readiness, yet opportunities to apply reasoning are limited in early-semester nursing courses. Method: First-semester accelerated baccalaureate nursing students participated in a scaffolded instructional sequence incorporating didactic instruction, AI-assisted review, an AI-supported standardized patient, guided application, and debriefing. Self-rated confidence was measured pre–post ( N = 81), and examination performance was compared with a historical cohort. Results: Confidence increased from 2.0 to 4.0 (95% CI [1.72, 2.28]), t(80) = 15.42, p < .001, d = 1.59. Mean examination scores were higher in the intervention cohort (87%) than in the historical cohort (81%), t(187.55) = 6.51, p < .001, d = 0.94. Conclusion: A scaffolded instructional sequence incorporating an AI-supported standardized patient was associated with greater confidence and improved examination performance. Further research should examine effects on clinical judgment using validated measures.

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Publication Details

Journal
Journal of Nursing Education
Published
2026-11-09
DOI
https://doi.org/10.3928/01484834-20260915-02
Primary Topic
Simulation-Based Education in Healthcare
Type
article
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article

AI-Supported Standardized Patients to Strengthen Early Clinical Judgment in Nursing Students

Allison Adrian, Jaime L. O’Donnell, Amy Smith
Journal of Nursing Education
Simulation-Based Education in Healthcare
article

AI-Supported Standardized Patients to Strengthen Early Clinical Judgment in Nursing Students

Allison Adrian, Jaime L. O’Donnell, Amy Smith
article en

Abstract

Background: Early clinical judgment is essential for Next Generation NCLEX readiness, yet opportunities to apply reasoning are limited in early-semester nursing courses. Method: First-semester accelerated baccalaureate nursing students participated in a scaffolded instructional sequence incorporating didactic instruction, AI-assisted review, an AI-supported standardized patient, guided application, and debriefing. Self-rated confidence was measured pre–post ( N = 81), and examination performance was compared with a historical cohort. Results: Confidence increased from 2.0 to 4.0 (95% CI [1.72, 2.28]), t(80) = 15.42, p < .001, d = 1.59. Mean examination scores were higher in the intervention cohort (87%) than in the historical cohort (81%), t(187.55) = 6.51, p < .001, d = 0.94. Conclusion: A scaffolded instructional sequence incorporating an AI-supported standardized patient was associated with greater confidence and improved examination performance. Further research should examine effects on clinical judgment using validated measures.

Journal of Nursing Education
Medical University of South Carolina (US)
Simulation-Based Education in Healthcare
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