AI-Based Clinical Orientation for Nursing Students (ClinicOrient)

Selcuk University

Status: Not yet enrolling

Conditions: Clinical; Orientation

Treatments: Other: Artificial Intelligence-Based Clinical Orientation Program

Study type: Interventional

Funder types: Other

Identifiers

NCT07564544

SU-Clinic Orient

Details and patient eligibility

About

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.

Enrollment: 90 estimated patients

Sex: All

Ages: 19+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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90 participants in 2 patient groups

Control Group

No Intervention group

Description:

Students who do not receive AI-supported orientation training.

Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)

Experimental group

Description:

Students receiving AI-supported orientation training

Treatment:

Other: Artificial Intelligence-Based Clinical Orientation Program