AI-Supported Case Analysis Among Nursing Students

The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load

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.

The increasing complexity of healthcare services necessitates the adoption of innovative and technology-based approaches in nursing education.This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research, with the aim of determining 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 include fourth-year nursing students (100 students) enrolled in the Integrated Health Practices III course in the Department of Nursing. Students will be divided into two groups: an intervention group (AI) and a control group. In the study, data will be collected by the researchers using the Student Profile Form, Achievement Test, Learning Experience, Perceived Learning Outcomes and Clinical Self-Efficacy, Scale of Different Types of Cognitive Load, and Semi-Structured Interview Form.

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.