Evalution of the Effectiveness of a Shoulder Dystocia Training Program Designed With Inverted Learning Supported by Generative Artificial Intelligence
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Shoulder Dystocia Training Using AI-supported Flipped Learning in Midwifery Education. Basic parameters: No limits · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Turkey (Türkiye)
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
With the ongoing digital transformation in health education, the importance of learner-centered and technology-integrated approaches has been increasing. Particularly in teaching complex and unpredictable clinical situations in healthcare, the limited effectiveness of traditional methods has led to a growing need for innovative approaches such as flipped learning and self-directed learning. Generative artificial intelligence (GAI)-supported educational applications have the potential to enhance academic achievement by making the learning process more interactive. However, research evaluating the effectiveness of these technologies in education remains limited. In this context, GAI-supported flipped learning enables students to gain individualized learning experiences through simulated classroom or clinical environments and to be better prepared for clinical encounters and specific clinical skill training. One of the critical clinical topics that should be addressed within this framework is shoulder dystocia. Shoulder dystocia is an obstetric emergency, most cases of which are unpredictable and unavoidable. Accordingly, this study aims to evaluate the effects of a GAI-supported flipped learning approach applied to shoulder dystocia training on midwifery students' knowledge levels and self-directed learning skills through effective use of technology.
Primary outcome measures
- Knowledge level on shoulder dystocia management [Time frame: Before the intervention and immediately after the intervention]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Other
Study locations
Turkey (Türkiye) · 1 center
- Fenerbahce University — Istanbul
Publications
- American College of Obstetricians and Gynecologists. (2017). Practice Bulletin No 178: Shoulder Dystocia.
- Royal College of Obstetricians and Gynaecologists. (2012). Shoulder Dystocia (Green-top Guideline No. 42. 2nd Edition). https://www.rcog.org.uk/media/ewgpnmio/gtg_42.pdf
- Majeed F, Usmani A. Effect of case-based teaching of physiology via flipped classroom method on performance of undergraduate medical students. Adv Physiol Educ. 2025 Sep 1;49(3):840-848. doi: 10.1152/advan.00161.2024. Epub 2025 Jul 28. PMID 40720183
Identifiers
NCT: NCT07514702 · 2025/756