OrientationClinicOrientNCT07564544
AI-Based Clinical Orientation for Nursing Students
A study testing Artificial Intelligence-Based Clinical Orientation Program in people with Orientation and Clinical, run by Selcuk University at 2 sites in Turkey (Türkiye).
Trial summary
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… Read more about this study
- Who is it for?
- Ages 19 years and olderHealthy volunteers can take part
- Conditions the study is for
- Orientation, Clinical
- What is being tested?
- Artificial Intelligence-Based Clinical Orientation Program
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 90 participants
- Where
- 2 sitesTurkey (Türkiye)
- Study dates
- 30 Apr 2026to 11 Jun 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 19 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- Being absent during the course of the study.
- Currently being employed as a healthcare professional.
- Having a frozen enrollment status.
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Turkey (Türkiye)2 sites
Selcuk University
Konya, Konya, 42250
Selcuk University
Konya, Selçuklu, 42060
About this study
Official title: 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.
- Conditions
- Orientation, Clinical
- Being tested
- Artificial Intelligence-Based Clinical Orientation Program
- Medical subject headings
- Orientation, Spatial
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial Intelligence-Based Clinical Orientation ProgramOther
Also called Intervention Group
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.
| Study group | Role | What they receive |
|---|---|---|
| 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 Receives: Other: Artificial Intelligence-Based Clinical Orientation Program |
What is being measured
The primary outcome is the main question the study is designed to answer.
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).
Measured: 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 outcomes (1)
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.
Measured: 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).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 May 2026
- Study start30 Apr 2026 (estimated)
- Primary completion11 May 2026 (estimated)
- Study completion11 Jun 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for OrientationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 90 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Selcuk University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Fatma Taş Arslan, Selcuk University
- Investigators
- Fatma Tas Arslan, Principal investigator, Selcuk University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07564544
- Sponsor's protocol ID
- SU-Clinic Orient
- Acronym
- ClinicOrient
- Status last verified
- May 2026
- First submitted
- 16 Apr 2026
- Last updated
- 7 May 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 7 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice
- ClinicalTrials.gov ID
- NCT07564544
- Acronym / sponsor ID
- ClinicOrient / SU-Clinic Orient
- Conditions
- Orientation, Clinical
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 90 participants (estimated)
- Lead sponsor
- Selcuk UniversityUniversity, hospital or other
- Study start
- 30 Apr 2026 (estimated)
- Primary completion
- 11 May 2026 (estimated)
- Study completion
- 11 Jun 2026 (estimated)
- First posted
- 4 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control Group | No intervention | –Students who do not receive AI-supported orientation training. |
| Intervention Group (Artificial Intelligence-Based Clinical Orientation Program) | Experimental | Other: Artificial Intelligence-Based Clinical Orientation ProgramStudents receiving AI-supported orientation training |
Who may qualify
- Ages
- 19 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (3 listed)
- Being absent during the course of the study.
- Currently being employed as a healthcare professional.
- Having a frozen enrollment status.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial Intelligence-Based Clinical Orientation ProgramAlso: Intervention GroupThe 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. | Other | Intervention Group (Artificial Intelligence-Based Clinical Orientation Program) |
Primary outcome
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).
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).
1 secondary outcome
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).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 May 2026.
- Related InfoLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Fatma Tas Arslan principal investigator
Selcuk University
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial Intelligence-Based Clinical Orientation Program in people with Orientation and Clinical, run by Selcuk University at 2 sites in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 7 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Fatma Tas Arslan, Prof. Dr. (+905058013067, fatmatas61@hotmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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).). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 May 2026.