Effect of AI-Supported Case Analysis on Nursing Students
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorNevsehir Haci Bektas Veli University
About this trial
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).
Eligibility criteria
Qualifiers
Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
Who have previously taken the theoretical course on the nursing process,
Who own a smartphone with an internet connection,
Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
Disqualifiers
Students who have not taken the elective course in oncology nursing,
Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
Students who do not agree to participate in the study will not be included in the research
Trial design
Treatments tested in this trial
- AI-supported case
- Control Group
Treatment groups
42 Participants
are divided into 2 treatment groupsLocations
Sponsors and collaborators
Source ClinicalTrials.gov