AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING

NCT07562321 | Recruiting

• 1 other identifier: 17162298.600-89
• Study Type: interventional
• Target: 80
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Artifical Intelligence; Nursing Education; Breast Self-Examination

Outcome Measures

Primary Outcomes (2)

• Self-Breast Examination Information Form

  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

  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.

Study Arms (2)

AI-supported flipped learning model

EXPERIMENTAL

Artificial Intelligence-Supported Flipped Learning Model Intervention

Behavioral: Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training

Traditional-based education

NO INTERVENTION

Traditional-based education-no intervention

Interventions

Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training BEHAVIORAL

An AI-supported reverse learning model-based intervention for breast self-examination training. This intervention has not been seen in any previous studies.

AI-supported flipped learning model

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

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

Sponsors & Collaborators

• Baskent University: lead

Study Sites (1)

Baskent University

Ankara, Ankara, 06790, Turkey (Türkiye)

RECRUITING

MeSH Terms

Conditions

Breast Self-Examination

Condition Hierarchy (Ancestors)

Self-Examination; Health Behavior; Behavior

Central Study Contacts

Betul Sahin-Kilinc, lecturer

CONTACT

+905543350343; betulsahin@baskent.edu.tr

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Lecturer

Study Record Dates

• First Submitted: April 25, 2026
• First Posted: May 1, 2026
• Study Start: March 20, 2026
• Primary Completion (Estimated): May 10, 2026
• Study Completion (Estimated): May 10, 2026
• Last Updated: May 6, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)