AI-Supported Case Analysis Among Nursing Students

The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.

Inclusion Criteria: * Students who are active fourth-year nursing students during the spring semester of the 2025-2026 academic year, * Have previously taken the theoretical course on the nursing process, * Own a cell phone with an internet connection, * And 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 course, * Students who have never participated in case-based learning sessions, * Students who do not agree to participate in the study will not be included in the research.