The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).
The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.
Inclusion Criteria
Exclusion Criteria:
ayser@nevsehir.edu.tr+905052349338