AI-supported flipped learning for breast self-examination
Official title: IMPACT OF AN AI-SUPPORTED FLIPPED LEARNING MODEL ON NURSING STUDENTS' BREAST SELF-EXAMINATION KNOWLEDGE AND PERFORMANCE: A RANDOMIZED CONTROLLED TRIAL
Run by Baskent University · NCT07562321 · Data updated 2026-11-12
This project tests whether an AI-supported flipped learning program improves breast self-examination knowledge and hands-on skills in second-year nursing students.
Quick facts
| Study type | Interventional |
|---|---|
| Sex | All |
| Enrollment | 80 (estimated) |
| Sponsor | Baskent University Academic / other |
| Locations | 1 site (Ankara, Ankara) |
| Status | Recruiting |
| Started | March 20, 2026 |
| Main results expected | May 10, 2026 |
| Study ends | May 10, 2026 |
| Registry record updated | May 6, 2026 |
| Trial ID | NCT07562321 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are second-year nursing undergraduates at Baskent University who have not previously received breast examination training and who provide informed consent.
✕Probably not a fit
Those who already have prior BSE training, have health problems preventing participation, or who withdraw consent are unlikely to gain benefit from the program.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional program delivers breast self-examination (BSE) education using a flipped-classroom format enhanced with AI-driven personalized feedback and digital learning materials. Participants are second-year nursing undergraduates without prior BSE training who will complete preparatory digital modules followed by practical sessions. Outcomes will focus on changes in BSE knowledge, skill performance, and students' readiness to teach BSE in the community. The model aims to increase active learning, practical application rates, and digital literacy among future nurses.
Why it matters
Potential benefit: If successful, nursing students may gain stronger BSE skills and confidence, which could lead to better public education and earlier detection of breast abnormalities.
How similar studies have gone: Flipped learning and AI-augmented educational approaches have shown improvements in nursing education and clinical skills generally, but direct evidence specifically for BSE training is limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Being a second-year student in a nursing undergraduate program * Not having previously received breast examination training * Having signed the voluntary consent form Exclusion Criteria: * Having any health problem that would prevent continuing to work * Requesting to withdraw from work voluntarily
Where it's running
-
Baskent University
Ankara, Ankara, Turkey (Türkiye) Recruiting
Study contacts
- Study coordinator: Betul Sahin-Kilinc, lecturer
- Email: betulsahin@baskent.edu.tr
- Phone: +905543350343
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.