Clinical trial Recruiting at 1 site Interventional

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 typeInterventional
SexAll
Enrollment80 (estimated)
SponsorBaskent University
Academic / other
Locations1 site (Ankara, Ankara)
StatusRecruiting
StartedMarch 20, 2026
Main results expectedMay 10, 2026
Study endsMay 10, 2026
Registry record updatedMay 6, 2026
Trial IDNCT07562321 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.