AI-Based Clinical Orientation for Nursing Students (ClinicOrient)
3 de mayo de 2026 actualizado por: 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.
Descripción general del estudio
Estado
Aún no reclutando
Condiciones
Intervención / Tratamiento
Tipo de estudio
Intervencionista
Inscripción (Estimado)
90
Fase
- No aplica
Contactos y Ubicaciones
Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.
Estudio Contacto
- Nombre: Fatma Tas Arslan, Prof. Dr.
- Número de teléfono: +905058013067
- Correo electrónico: fatmatas61@hotmail.com
Ubicaciones de estudio
-
-
Konya
-
Konya, Konya, Turquía (Türkiye), 42250
- Selcuk University
-
-
Selçuklu
-
Konya, Selçuklu, Turquía (Türkiye), 42060
- Selcuk University
-
-
Criterios de participación
Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto
- Adulto Mayor
Acepta Voluntarios Saludables
Sí
Descripción
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 de estudios
Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Otro
- Asignación: Aleatorizado
- Modelo Intervencionista: Asignación paralela
- Enmascaramiento: Ninguno (etiqueta abierta)
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
|---|---|
|
Sin intervención: Control Group
Students who do not receive AI-supported orientation training.
|
|
|
Experimental: Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
|
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.
Otros nombres:
|
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Introductory Information Form
Periodo de tiempo: 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).
|
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).
|
Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Clinical Adaptation Scale for Student Nurses
Periodo de tiempo: 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).
|
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.
|
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).
|
Otras medidas de resultado
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Therapeutic Communication Skills Scale for Nursing Students
Periodo de tiempo: 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).
|
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.
|
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).
|
Colaboradores e Investigadores
Aquí es donde encontrará personas y organizaciones involucradas en este estudio.
Patrocinador
Investigadores
- Investigador principal: Fatma Tas Arslan, Selcuk University
Publicaciones y enlaces útiles
La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.
Enlaces Útiles
Fechas de registro del estudio
Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.
Fechas importantes del estudio
Inicio del estudio (Estimado)
30 de abril de 2026
Finalización primaria (Estimado)
11 de mayo de 2026
Finalización del estudio (Estimado)
11 de junio de 2026
Fechas de registro del estudio
Enviado por primera vez
16 de abril de 2026
Primero enviado que cumplió con los criterios de control de calidad
26 de abril de 2026
Publicado por primera vez (Actual)
4 de mayo de 2026
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
7 de mayo de 2026
Última actualización enviada que cumplió con los criterios de control de calidad
3 de mayo de 2026
Última verificación
1 de mayo de 2026
Más información
Términos relacionados con este estudio
Términos MeSH relevantes adicionales
Otros números de identificación del estudio
- SU-Clinic Orient
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
NO
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
No
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
No
Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .