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NCT07564544

AI-Based Clinical Orientation for Nursing Students

Sponsor: Selcuk University

View on ClinicalTrials.gov

Summary

Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university. The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate. Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation. Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0. Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used. Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests. For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized. The statistical significance level will be set at $p \< 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins. Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.

Official title: The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice

Key Details

Gender

All

Age Range

19 Years - Any

Study Type

INTERVENTIONAL

Enrollment

Start Date

2026-04-30

Completion Date

2026-06-11

Last Updated

2026-05-07

Healthy Volunteers

Yes

Conditions

Orientation Clinical

Interventions

OTHER

Artificial Intelligence-Based Clinical Orientation Program

The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics/Privacy, and Stress Management. AI was utilized to develop scenarios, create audiovisual materials, and simulate realistic clinical environments. Each 5-minute video used no real patient data. A sequential progression was enforced, requiring completion of one module to start the next. Knowledge was assessed after each module via 5-10 Kahoot questions. A gamified approach was used where the fastest, most accurate students earned digital badges, with the top three overall being recognized as winners. Content validity was ensured through expert opinions from pediatric nursing faculty, and necessary adjustments were made based on their feedback.

Locations (2)

Selcuk University

Konya, Konya, Turkey (Türkiye)