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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

Shoulder Dystocia

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Fenerbahce University

    Istanbul, Turkey (Türkiye)

    Contact Phone: •••-•••-•••• Email: •••••@•••••