This study aims to determine the effects of AI-supported oncology case analysis on nursing students' knowledge, learning satisfaction, and clinical decision-making skills.
Inclusion Criteria:
Having previously completed the theoretical Nursing Process course. Owning a smartphone with internet access. Having previously prepared at least one individualized nursing care plan for a patient hospitalized in an internal medicine clinical setting.
Exclusion Criteria:
Students who did not agree to participate in the study.
Traditional teaching group
Artificial Intelligence Group: Students in this group will take artificial intelligence supported case analysis course.
Merkez, Nevşehir Province, Turkey (Türkiye)
Effect of AI-Supported Case Analysis on Nursing Students
Artificial Intelligence Supported Case Analysis and Nursing Students
AI-Supported Case Analysis Among Nursing Students
Artificial Intelligence Supported Case Analysis on Nursing Education
Impact of AI-Supported Teaching on Clinical Decision-Making in Nursing Students
Impact of Artificial Intelligence Discussion on Midwifery Students
Use of Artificial Intelligence in Nursing Education
Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol