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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control Group | No Intervention | Students who do not receive AI-supported orientation training. | |
| Intervention Group (Artificial Intelligence-Based Clinical Orientation Program) | Experimental | Students receiving AI-supported orientation training |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Intelligence-Based Clinical Orientation Program | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Introductory Information Form | The form was developed by the researchers in line with the relevant literature. The form consists of 3 sections and 8 questions: descriptive characteristics (age, gender, grade point average), information related to clinical adaptation (difficulty in adapting when first starting the clinical environment, difficulty in communicating with patients/families during clinical practice, and experiencing anxiety-stress before clinical practice), and information related to artificial intelligence (use of artificial intelligence programs and willingness to learn and use technological developments such as artificial intelligence). | 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). |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical Adaptation Scale for Student Nurses | The scale was to comprehensively evaluate the clinical adaptation of student nurses in clinical practice. It was adapted into Turkish. The scale has three subdimensions: Professional Development and Interpersonal Interaction, Clinical Competence and Confidence, and Coping and Support Strategies. It consists of 15 items in a 5-point Likert-type format. The total score ranges from 15 to 75. A higher score indicates better clinical adaptation. The scale does not have a defined cut-off point or reverse-coded items. The Cronbach's alpha coefficient of the scale is 0.91. |
| Measure | Description | Time Frame |
|---|---|---|
| Therapeutic Communication Skills Scale for Nursing Students | The scale was to determine the therapeutic communication skills of nursing students. It has three subdimensions: Non-therapeutic Communication Skills, Therapeutic Communication Skills 1, and Therapeutic Communication Skills 2. The scale consists of 16 items in a 7-point Likert-type format (1 = Never, 4 = Sometimes, 7 = Always). There are no reverse-coded items in the scale. The maximum possible score is 168, and the minimum possible score is 24. The Cronbach's alpha value of the "Therapeutic Communication Skills Scale for Nursing Students" is 0.775. |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Fatma Tas Arslan, Prof. Dr. | Contact | +905058013067 | fatmatas61@hotmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Fatma Tas Arslan | Selcuk University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Selcuk University | Konya | Konya | 42250 | Turkey (Türkiye) | ||
| Selcuk University |
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| Label | URL |
|---|---|
| Related Info | View source |
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| ID | Term |
|---|---|
| D000072458 | Orientation, Spatial |
| ID | Term |
|---|---|
| D013037 | Spatial Behavior |
| D001519 | Behavior |
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| 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). |
| 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). |
| Konya |
| Selçuklu |
| 42060 |
| Turkey (Türkiye) |