ChatGPT-4 Use During Diabetes Knowledge Testing and AI Readiness Characteristics in Nursing and Midwifery Students

Background: ChatGPT has gained attention for its role in accessing health information, supporting clinical decisions, and educating patients. Materials and Methods: This study aimed to evaluate nursing and midwifery students’ readiness for artificial intelligence (AI) and their diabetes knowledge using ChatGPT-4. A randomized controlled experimental design was used with 105 students (intervention=53, control=52) between April and June 2024. Data were collected using the Information Form, Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), and the Diabetes Knowledge Scale for Adults (DKSA). Students in the intervention group used ChatGPT-4 to answer the DKSA, while those in the control group completed it independently without technology. Results: No significant difference was found between groups in MAIRS-MS scores. However, the intervention group had significantly higher DKSA total and sub-dimension scores for risk factors and symptoms (p=0.003; 0.000; 0.002). Conclusion: Using ChatGPT-4 significantly improved diabetes knowledge among nursing and midwifery students.