No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Sex
Any
Study type
Interventional
Purpose
Other
Participants needed
80 (estimated)
Sponsor
Baskent University · Other
Who this trial is looking for
This trial is looking for second-year nursing students who have not received breast examination training before. Participants will take part in training using a new educational approach that includes support from artificial intelligence.
Are You a Good Fit for This Trial?
You may be able to join if
I am a second-year student in a nursing undergraduate program
I have not received breast examination training before
I have signed the voluntary consent form
You may not be able to join if
I have a health problem that prevents me from continuing to work
I have requested to withdraw from the study voluntarily
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
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 …
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.
Trial Locations
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Eligibility 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 withdr…
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
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