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AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING

30. april 2026 opdateret af: 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.

Studieoversigt

Status

Rekruttering

Betingelser

Intervention / Behandling

Undersøgelsestype

Interventionel

Tilmelding (Anslået)

80

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Studiesteder

  • Tyrkiet (Türkiye)
    • Ankara
      • Ankara, Ankara, Tyrkiet (Türkiye), 06790
        • Rekruttering
        • Baskent University
        • Kontakt:
        • Ledende efterforsker:
          • Betül Şahin Kılınç

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Barn
  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ja

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Andet
  • Tildeling: Randomiseret
  • Interventionel model: Parallel tildeling
  • Maskning: Enkelt

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: AI-supported flipped learning model
Artificial Intelligence-Supported Flipped Learning Model Intervention
Adfærdsmæssigt: 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.
Ingen indgriben: Traditional-based education
Traditional-based education-no intervention

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Self-Breast Examination Information Form
Tidsramme: 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
Tidsramme: 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.

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Baskent University

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

20. marts 2026

Primær færdiggørelse (Anslået)

10. maj 2026

Studieafslutning (Anslået)

10. maj 2026

Datoer for studieregistrering

Først indsendt

25. april 2026

Først indsendt, der opfyldte QC-kriterier

25. april 2026

Først opslået (Faktiske)

1. maj 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

6. maj 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

30. april 2026

Sidst verificeret

1. april 2026

Mere information

Begreber relateret til denne undersøgelse

Yderligere relevante MeSH-vilkår

Andre undersøgelses-id-numre

  • 17162298.600-89

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

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