AI meets midwifery: can flipped learning better prepare students for birth emergencies?
NCT ID NCT07514702
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will test whether a training program that uses generative artificial intelligence and flipped learning can improve midwifery students' knowledge of shoulder dystocia, a rare but serious birth emergency. About 114 third-year students from two universities will take part. The goal is to see if this modern teaching approach boosts learning and self-directed study skills compared to traditional methods.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-supported flipped learning program
- What this could lead to
- If successful, this could point toward a more effective way to train midwives in handling shoulder dystocia emergencies.
- What could go wrong
- This is a small, early-stage educational study, not a clinical treatment trial. Results may not apply to other settings or improve actual patient outcomes.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Fenerbahce University
Istanbul, Turkey (Türkiye)