AI-Based Clinical Orientation for Nursing Students

Official title

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

Overview

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.

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 aft

Primary outcome measures

• Introductory Information Form [Time frame: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).]

Secondary outcome measures (1)

• Clinical Adaptation Scale for Student Nurses [Time frame: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).]

Eligibility criteria

Inclusion criteria

• Being enrolled in the Pediatric Nursing course for the first time.
• Being a third-year nursing student.
• Providing voluntary informed consent to participate in the study.

Exclusion criteria

• Being absent during the course of the study.
• Currently being employed as a healthcare professional.
• Having a frozen enrollment status.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation

Randomized

Model

Parallel assignment

Masking

Open label

Primary purpose

Other

Study locations

Turkey (Türkiye) · 2 centers

• Selcuk University — Konya
• Selcuk University — Konya

Identifiers

NCT: NCT07564544 · SU-Clinic Orient

Primary sources (government registries)

• ClinicalTrials.gov (US NIH)

View this study on ClinicalTrials.gov ↗