[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100636350":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":26,"centralContacts":30,"locations":36,"responsibleParty":53,"collaborators":12,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":62,"eligibilityCriteria":63,"healthyVolunteers":64,"sex":65,"minAge":66,"maxAge":12,"enrollmentInfo":67,"targetDuration":12,"studyType":70,"phases":71,"briefSummary":73,"conditions":74,"keywords":12,"overallStatus":77,"whyStopped":12,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":87},{"fullName":5,"class":6},"Selcuk University","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Control Group","NO_INTERVENTION","Students who do not receive AI-supported orientation training.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)","EXPERIMENTAL","Students receiving AI-supported orientation training",[18],"Other: Artificial Intelligence-Based Clinical Orientation Program",[20],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":24},"Artificial Intelligence-Based Clinical Orientation Program","The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics\u002FPrivacy, 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.",[14],[25],"Intervention Group",[27],{"name":28,"affiliation":5,"role":29},"Fatma Tas Arslan","PRINCIPAL_INVESTIGATOR",[31],{"name":32,"role":33,"phone":34,"phoneExt":12,"email":35},"Fatma Tas Arslan, Prof. Dr.","CONTACT","+905058013067","fatmatas61@hotmail.com",[37,47],{"facility":5,"status":12,"city":38,"state":38,"zip":39,"country":40,"countryCode":12,"cosmosGeoPoint":41,"geoPoint":46,"contacts":12},"Konya","42250","Turkey (Türkiye)",{"type":42,"coordinates":43},"Point",[44,45],32.48464,37.87135,{"lat":45,"lon":44},{"facility":5,"status":12,"city":38,"state":48,"zip":49,"country":40,"countryCode":12,"cosmosGeoPoint":50,"geoPoint":52,"contacts":12},"Selçuklu","42060",{"type":42,"coordinates":51},[44,45],{"lat":45,"lon":44},{"type":29,"investigatorFullName":54,"investigatorTitle":55,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"Fatma Taş Arslan","Professor","100636350","ai-based-clinical-orientation-for-nursing-students-100636350",false,"NCT07564544","AI-Based Clinical Orientation for Nursing Students","The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice","ClinicOrient","Inclusion Criteria:\n\n* Being enrolled in the Pediatric Nursing course for the first time.\n* Being a third-year nursing student.\n* Providing voluntary informed consent to participate in the study.\n\nExclusion Criteria:\n\n* Being absent during the course of the study.\n* Currently being employed as a healthcare professional.\n* Having a frozen enrollment status.",true,"ALL","19 Years",{"count":68,"type":69},90,"ESTIMATED","INTERVENTIONAL",[72],"NA","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\u002Fpost-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\u002FShapiro-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 $p \\\u003C 0.05$.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.",[75,76],"Orientation","Clinical","NOT_YET_RECRUITING","2026-05-03",{"date":80,"type":81},"2026-05-07","ACTUAL",{"date":83,"type":69},"2026-04-30",{"date":85,"type":69},"2026-06-11",{"name":5,"class":6},2]