AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING

Recruiting now · Not applicable

Conditions studied: Artifical Intelligence, Nursing Education, Breast Self-Examination

In brief

The global increase in cancer cases has made breast cancer the second most common cancer after lung cancer and a primary health problem among women. Early diagnosis is the most critical factor in improving survival rates and quality of life in breast cancer. Breast self-examination (BSE), which enables individuals to notice changes in their own breast tissue during the early diagnosis process, is a low-cost and effective awareness method. It is essential that nurses, who play a key role in raising public awareness on this issue, and nursing students, who are the future healthcare professionals, have sufficient knowledge and practical skills in BSE. However, the literature shows that even if students have theoretical knowledge, their application rates are low. In this context, the "AI-Supported Flipped Learning" model, which goes beyond traditional methods and supports active learning, personalized feedback, and digital literacy, has the potential to be an innovative solution in nursing education. Objective: This study aims to evaluate the effect of AI-supported flipped learning model and traditional education on the knowledge levels and performance skills of nursing students regarding BSE knowledge and skills.

Key facts

Study ID: NCT07562321
Run by: Baskent University
People needed: 80
Starts: 2026-03-20
Expected to finish: 2026-05-10
Last updated by the study team: 2026-05-06

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Being a second-year student in a nursing undergraduate program
Not having previously received breast examination training
Having signed the voluntary consent form

You may not qualify if…

Having any health problem that would prevent continuing to work
Requesting to withdraw from work voluntarily

Where it is running

Baskent University — Ankara, Ankara, Turkey (Türkiye) (enrolling)

Full record on ClinicalTrials.gov

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