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The Effect of Artificial Intelligence-assisted Visual Case Analysis on Nursing Students' Knowledge and Attitudes Towards Pressure Injury Prevention: A Single-blind Randomized Controlled Trial
Sponsor: Çankırı Karatekin University
Summary
The goal of this clinical trial is to examine the effect of artificial intelligence-assisted visual case analysis on nursing students' knowledge and attitudes towards pressure injury prevention. The main hypotheses it aims to answer are: * AI-assisted visual case analysis affects nursing students' knowledge about pressure injury prevention. * AI-assisted visual case analysis affects nursing students' attitudes toward pressure injury prevention. Researchers will compare AI-assisted case analysis to conventional case analysis to see if it affected nursing students' knowledge and attitudes about pressure injury prevention. Participants, * The case group will shown an AI-supported presentation explaining the pressure injury prevention case. The control group will given a classic case analysis. * At the end of the case, the PUPKAI and APuP scales will administered to the students in written form in the classroom.
Key Details
Gender
All
Age Range
18 Years - 24 Years
Study Type
INTERVENTIONAL
Enrollment
84
Start Date
2025-05-09
Completion Date
2025-07-10
Last Updated
2025-05-18
Healthy Volunteers
Yes
Conditions
Interventions
AI-assisted case analysis
Nursing students will perform visual case analyses of pressure injuries using an AI-based platform. The AI system will provide students with case-based feedback.
Traditional case analysis
Participants will be present with written case scenarios and a case analysis will conduct with the instructor. The training process will be carried out with group discussions and the instructor's guidance. No technological or artificial intelligence support will be used.
Locations (1)
Cankiri Karatekin University. Faculty of Health Sciences.
Çankırı, Center, Turkey (Türkiye)