Scopus:
Evaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students

dc.contributor.authorSimsek-Cetinkaya S.
dc.contributor.authorCakir S.K.
dc.date.accessioned2023-06-10T15:08:30Z
dc.date.available2023-06-10T15:08:30Z
dc.date.issued2023-08-01
dc.description.abstractBackground: Breast self-examination is important in the early diagnosis of breast cancer. The use of traditional education methods is insufficient for student nurses to gain breast self-examination skills in nurse education. New and different education methods are needed to gain skills in nurse education. Objective: The aim of this study was to evaluate the effectiveness of artificial intelligence-assisted screen-based simulations practice and standard patient simulation in teaching breast self-examination skills in nursing undergraduate students. Design: This study was a comparative intervention trial. Settings: This study was conducted at a university in XX, in XXX in the first semesters of the academic years 2022–2023. Methods: This study enlisted 103 students enrolled in first year in a nursing department. Students were randomized into artificial intelligence-assisted screen-based simulations practice group (n = 52) and standard patient simulation group (n = 51). Data were collected using student description form, breast self-examination checklist, student satisfaction and self-confidence in learning scale, Spielberger's state and trait anxiety inventory. Results: The highest score regarding the total score means of breast self-examination skills belonged to the standard patient simulation group, and the differences between the groups were found to be statistically significant (p < 0.05). Although the mean score of anxiety levels of the students' artificial intelligence-assisted screen-based simulations practice group was higher than the standard patient simulation (p < 0.05). The mean score of the students' satisfaction with the simulation was higher in artificial intelligence-assisted screen-based simulations practice group than the standard patient simulation group (p < 0.05). Conclusions: The results of the research showed that the use of artificial intelligence-assisted simulation learning increased students' satisfaction, but at the same time students' anxiety increased. In addition, artificial intelligence-assisted simulation learning is not as effective as standard patient simulation learning in gaining breast self-examination skills.
dc.identifier.doi10.1016/j.nedt.2023.105857
dc.identifier.issn02606917
dc.identifier.scopus2-s2.0-85160049379
dc.identifier.urihttps://hdl.handle.net/20.500.12597/15751
dc.relation.ispartofNurse Education Today
dc.rightsfalse
dc.subjectArtificial intelligence | Breast self-examination | Nurse education | Simulation
dc.titleEvaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students
dc.typeArticle
dspace.entity.typeScopus
oaire.citation.volume127
person.affiliation.nameKastamonu University
person.affiliation.nameKastamonu University
person.identifier.scopus-author-id57864793300
person.identifier.scopus-author-id58287103300
relation.isPublicationOfScopus34ac831a-90fc-42f0-814d-7432cb50561e
relation.isPublicationOfScopus.latestForDiscovery34ac831a-90fc-42f0-814d-7432cb50561e

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