An interventional study of Kolb-Based Artificial Intelligence-Supported Neonatal Simulation Training in Nursing Education, sponsored by Maltepe University. Not yet recruiting at 1 site in Turkey (Türkiye). Per ClinicalTrials.gov, last updated 2026-10-14.
Sponsored by Maltepe University · Not applicable, Interventional, and Health services research
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.
The neonatal period requires rapid physiological adaptation and precise clinical evaluation, making neonatal care a critical component of nursing education. Traditional teaching methods often fall short in fostering critical thinking and active clinical decision-making. To bridge this gap, this study integrates artificial intelligence (AI) into neonatal simulation training based on Kolb's Experiential Learning Theory, which defines learning as a four-stage cycle: concrete experience, reflective observation, abstract conceptualization, and active experimentation.
The intervention program lasts a total of 12 weeks, with each session structured carefully according to Kolb's cycle. Participants first receive theoretical background and educational brochures/videos, followed by AI-supported simulation scenarios, structured debriefing and reflection sessions, and personalized feedback generated by AI based on performance checklists and simulation recordings.
Measurements are taken at three key time points for the same participant group (T0: pre-test, T1: mid-test, T2: post-test) to assess changes in knowledge, self-efficacy, health literacy, skills, satisfaction, and learning confidence. Data analyses will be performed using SPSS software with appropriate parametric or non-parametric tests based on distribution normality."
Maltepe University is the lead sponsor of 67 studies on the registry; 7 are open to participants now.
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This is a single-arm intervention group. Participants will receive AI-supported neonatal simulation training based on Kolb's Experiential Learning Theory.
Behavioral: Kolb-Based Artificial Intelligence-Supported Neonatal Simulation Training
Participants will receive AI-supported neonatal care simulation training based on Kolb's Experiential Learning Cycle (concrete experience-reflective observation-abstract conceptualization-active experience). The training consists of (1) brief theoretical background information, (2) simulation application with neonatal clinical scenarios, (3) structured debriefing/reflection session, and (4) AI-supported feedback and personalized learning recommendations. The AI component provides real-time/post-session feedback, error/deficiency analysis, and individualized study recommendations for the next session based on performance checklist inputs and/or simulation recordings. The intervention lasts a total of 12 weeks, with each session structured according to Kolb's Experiential Learning Cycle. All participants receive the same content and scenarios; there is no control arm. Measurements are taken at time points T0 (pre-test), T1 (mid-test), and T2 (post-test).
Change in nursing students' self-efficacy regarding initial neonatal assessment and care from baseline (pre-test) to post-intervention.
Change in nursing students' self-efficacy regarding initial neonatal assessment and care from baseline to post-intervention, as assessed by the Self-Assessment Scale for Initial Neonatal Assessment and Care (first section of the Multidimensional Assessment Scale for Assessment and Care of Newborns). The scale consists of 26 items evaluated on a 4-point Likert scale, with total scores ranging from 26 to 104. Higher scores indicate greater self-efficacy regarding initial neonatal assessment and care.
Time frame: Baseline (pre-test, before the intervention), mid-test (during/after demonstration), and post-test (at the end of the 12-week intervention period)
Plan to share: No
Start is estimated for Nov 2026; primary completion for Jan 2027, 2 months later.
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From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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Maltepe University