Clinical Research Directory

GENERATİVE AI-SUPPORTED NURSİNG PROCESS EDUCATİON AND NURSİNG STUDENTS' LEARNİNG OUTCOMES

This randomized controlled trial evaluated the effect of generative artificial intelligence (AI)-supported education in teaching the nursing process on nursing students' learning outcomes. The study was conducted with undergraduate nursing students enrolled in the Nursing Process course for the first time at a foundation university in Istanbul, Türkiye. After a 7-week instructor-centered theoretical course, students were randomly assigned to an intervention or control group using computer-based simple randomization. Over three consecutive weeks, the intervention group worked on three patient case scenarios using a generative AI platform (Gemini), guided by pre-defined themes and prompts covering data collection, nursing diagnosis, planning, and implementation. The accuracy, consistency, and alignment of AI-generated responses with the nursing process steps were then discussed in class. During the same period, the control group completed three different case studies using the instructor's standard care plan template. Nursing process knowledge, self-efficacy in clinical performance, and clinical decision-making confidence and anxiety were measured before and after the intervention, and attitudes toward artificial intelligence and the course were measured after the intervention. A total of 173 eligible students were randomized (intervention n = 85; control n = 88), and the study was completed with 140 students (intervention n = 68; control n = 72). Students who were repeating the course or were horizontal or vertical transfer students were excluded. The primary outcome was nursing process knowledge, measured with a researcher-developed Nursing Process Knowledge Test. Secondary outcomes were measured with the Self-Efficacy in Clinical Performance Scale, the Nursing Anxiety and Self-Confidence with Clinical Decision Making Scale, and the Attitude Toward Artificial Intelligence and Its Course Scale. Data were collected through electronic forms and analyzed using IBM SPSS 22.0.