AI-Based Clinical Orientation for Nursing Students (ClinicOrient)
3 mai 2026 mis à jour par: Fatma Taş Arslan, Selcuk University
The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice
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.
Aperçu de l'étude
Statut
Pas encore de recrutement
Les conditions
Intervention / Traitement
Type d'étude
Interventionnel
Inscription (Estimé)
90
Phase
- N'est pas applicable
Contacts et emplacements
Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.
Coordonnées de l'étude
- Nom: Fatma Tas Arslan, Prof. Dr.
- Numéro de téléphone: +905058013067
- E-mail: fatmatas61@hotmail.com
Lieux d'étude
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Konya
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Konya, Konya, Turquie (Türkiye), 42250
- Selcuk University
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Selçuklu
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Konya, Selçuklu, Turquie (Türkiye), 42060
- Selcuk University
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Critères de participation
Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.
Critère d'éligibilité
Âges éligibles pour étudier
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Oui
La description
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.
Plan d'étude
Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Autre
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
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Aucune intervention: Control Group
Students who do not receive AI-supported orientation training.
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Expérimental: Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
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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.
Autres noms:
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Introductory Information Form
Délai: 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).
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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).
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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).
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Clinical Adaptation Scale for Student Nurses
Délai: 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).
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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.
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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).
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Autres mesures de résultats
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Therapeutic Communication Skills Scale for Nursing Students
Délai: 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).
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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.
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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).
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Collaborateurs et enquêteurs
C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.
Parrainer
Les enquêteurs
- Chercheur principal: Fatma Tas Arslan, Selcuk University
Publications et liens utiles
La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.
Liens utiles
Dates d'enregistrement des études
Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.
Dates principales de l'étude
Début de l'étude (Estimé)
30 avril 2026
Achèvement primaire (Estimé)
11 mai 2026
Achèvement de l'étude (Estimé)
11 juin 2026
Dates d'inscription aux études
Première soumission
16 avril 2026
Première soumission répondant aux critères de contrôle qualité
26 avril 2026
Première publication (Réel)
4 mai 2026
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
7 mai 2026
Dernière mise à jour soumise répondant aux critères de contrôle qualité
3 mai 2026
Dernière vérification
1 mai 2026
Plus d'information
Termes liés à cette étude
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- SU-Clinic Orient
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
NON
Informations sur les médicaments et les dispositifs, documents d'étude
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Non
Étudie un produit d'appareil réglementé par la FDA américaine
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