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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 114 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Apr 2026
An estimate. Start dates often move.
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
A total of 114 third-year students who meet the inclusion criteria will be administered the "Student Information Form" and the "Shoulder Dystocia Management Knowledge Test." To determine baseline levels, participants will be stratified into three layers based on their shoulder dystocia management knowledge test scores and then assigned to G1, G2, and G3 groups using simple randomization in a 1:1:1 ratio. The randomization list will be generated by an individual independent of the researcher in order to reduce selection bias, using the randomizer.org website. Random group assignments will be performed on a stratified basis (stratification criteria: institutions and shoulder dystocia management knowledge test scores). Using this method, 114 third-year students will be randomized equally into three groups, with 38 students assigned to G1, 38 to G2, and 38 to G3.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Female participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * -Being a 3rd year student in the Midwifery Department of Fenerbahçe University and Istanbul-Cerrahpaşa Faculty of Health Sciences. * Having sufficient or unlimited internet access. Exclusion Criteria: * Having previously taken a course on shoulder dystocia * Student's absence from class/sick leave
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Fenerbahce University
Istanbul, Turkey (Türkiye)