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

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

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.

Inclusion Criteria:

• Taking the Fundamentals of Nursing II course for the first time
• Not working as a nurse in a health institution.
• Volunteering to participate in the study.

Exclusion Criteria:

• Having previously received patient pressure injury prevention training;
• Having repeated the Fundamentals of Nursing II course;
• Having difficulty speaking and understanding Turkish;
• Exceeding the course attendance time
• Not attending pressure injury prevention training and evaluation
• Filling in incomplete data
• Graduating from a health-related high school or university.