The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
Sponsor: Nevsehir Haci Bektas Veli University
Trial Details
| Condition | Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing |
| Intervention | AI-supported case; Control Group |
| Phase | NA |
| Status | Not_yet_recruiting |
| Participants | 42 |
| Est. Completion | 25 May 2026 |
| Last Updated | 28 May 2026 |
Primary Outcome
Knowledge level; Learning satisfaction; Clinical decision-making skills
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria * 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. Exclusion Criteria: * 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
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