AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING

April 30, 2026 updated by: BETUL SAHIN KILINC, Baskent University

IMPACT OF AN AI-SUPPORTED FLIPPED LEARNING MODEL ON NURSING STUDENTS' BREAST SELF-EXAMINATION KNOWLEDGE AND PERFORMANCE: A RANDOMIZED CONTROLLED TRIAL

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

80

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Turkey (Türkiye)
    • Ankara
      • Ankara, Ankara, Turkey (Türkiye), 06790
        • Recruiting
        • Baskent University
        • Contact:
        • Principal Investigator:
          • Betül Şahin Kılınç

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-supported flipped learning model
Artificial Intelligence-Supported Flipped Learning Model Intervention
Behavioral: Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training
An AI-supported reverse learning model-based intervention for breast self-examination training. This intervention has not been seen in any previous studies.
No Intervention: Traditional-based education
Traditional-based education-no intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Self-Breast Examination Information Form
Time Frame: This form will be administered to all students as a pre-test and post-test, both before and after the procedure. Before the procedure and 2 weeks after the procedure.
This form, prepared by researchers based on the literature to determine students' knowledge level regarding self-breast examination, consists of 20 items. The form includes 17 theoretical questions and 3 case questions. Students will be asked to mark either "true" or "false" for each item. Items will be evaluated by giving "1 point" for a correct answer and "0 points" for an incorrect answer. The lowest possible score on the form is 0, and the highest possible score is 20. The opinions of 10 independent experts were consulted to evaluate the form in terms of its scope, language, comprehensibility, expression, and scientific adequacy. This form will be administered to all students as a pre-test and post-test, both before and after the application.
This form will be administered to all students as a pre-test and post-test, both before and after the procedure. Before the procedure and 2 weeks after the procedure.
Breast Self-Examination Skill Checklist
Time Frame: This form will be administered to all students as a post-test 2 weeks after the application.
To assess students' self-breast examination skills, a structured skill checklist based on the literature will be used. The form consists of a total of 20 questions. While students perform the self-breast examination, an independent evaluator will ask them to indicate whether the student performed the skills or not for each item by marking either "completed" or "did not complete". Items will be evaluated by giving "1 point" for "completed" and "0 points" for "did not complete". The lowest possible score on the form is 0, and the highest possible score is 20. The opinions of 10 independent experts were consulted to evaluate the form in terms of its scope, language, comprehensibility, expression, and scientific adequacy. This form will be administered to all students as a post-test after the application.
This form will be administered to all students as a post-test 2 weeks after the application.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Baskent University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 20, 2026

Primary Completion (Estimated)

May 10, 2026

Study Completion (Estimated)

May 10, 2026

Study Registration Dates

First Submitted

April 25, 2026

First Submitted That Met QC Criteria

April 25, 2026

First Posted (Actual)

May 1, 2026

Study Record Updates

Last Update Posted (Actual)

May 6, 2026

Last Update Submitted That Met QC Criteria

April 30, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 17162298.600-89

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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