Kolb-Based AI-Powered Neonatal Simulation Training

This quasi-experimental study aims to evaluate the multidimensional effects of an artificial intelligence-supported newborn simulation training program based on Kolb's Experiential Learning Theory on nursing students' self-efficacy, knowledge, health literacy, satisfaction, and confidence in learning. The study will be conducted with third-year nursing students at Maltepe University during the Fall semester. The design incorporates a single-group, three-time measurement model: pre-test (baseline before training), mid-test (after simulation observation/demonstration), and post-test (after individual application and reflection). The intervention spans a total of 12 weeks. Data will be collected using an introductory information form, the Multidimensional Assessment Scale for Assessment and Care of Newborns, and the Student Satisfaction and Self-Confidence in Learning Scale. Statistical analyses will include descriptive statistics, repeated measures ANOVA or Friedman tests, and correlation analyses.

Inclusion Criteria: * Being a third-year nursing student * Taking the neonatal nursing theory course * Agreeing to participate in volunteer work * Filling out the developed forms completely Exclusion Criteria: * Not being enrolled in the third year of the nursing licensure program * Not having taken the neonatal nursing theory course or not having completed the course yet * Not giving consent to participate voluntarily in the study or withdrawing from the study at any stage * Filling out data collection tools incompletely, incorrectly, or invalidly