Yayın: Evaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students
| dc.contributor.author | Simsek-Cetinkaya, Sahika | |
| dc.contributor.author | Cakir, Selda Karaveli | |
| dc.date.accessioned | 2026-01-04T19:03:53Z | |
| dc.date.issued | 2023-08-01 | |
| dc.description.abstract | 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.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.This study was a comparative intervention trial.This study was conducted at a university in XX, in XXX in the first semesters of the academic years 2022-2023.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.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).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.description.uri | https://doi.org/10.1016/j.nedt.2023.105857 | |
| dc.description.uri | https://pubmed.ncbi.nlm.nih.gov/37253303 | |
| dc.identifier.doi | 10.1016/j.nedt.2023.105857 | |
| dc.identifier.issn | 0260-6917 | |
| dc.identifier.openaire | doi_dedup___::f128233c9b752630191f9324775215b0 | |
| dc.identifier.pubmed | 37253303 | |
| dc.identifier.scopus | 2-s2.0-85160049379 | |
| dc.identifier.startpage | 105857 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12597/40944 | |
| dc.identifier.volume | 127 | |
| dc.identifier.wos | 001010344500001 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier BV | |
| dc.relation.ispartof | Nurse Education Today | |
| dc.rights | CLOSED | |
| dc.subject | Patient Simulation | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Humans | |
| dc.subject | Learning | |
| dc.subject | Education, Nursing, Baccalaureate | |
| dc.subject | Students, Nursing | |
| dc.subject | Clinical Competence | |
| dc.subject.sdg | 4. Education | |
| dc.subject.sdg | 3. Good health | |
| dc.title | Evaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.api.response | {"authors":[{"fullName":"Sahika, Simsek-Cetinkaya","name":"Sahika","surname":"Simsek-Cetinkaya","rank":1,"pid":null},{"fullName":"Selda Karaveli, Cakir","name":"Selda Karaveli","surname":"Cakir","rank":2,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"type":"publication","language":{"code":"eng","label":"English"},"countries":null,"subjects":[{"subject":{"scheme":"keyword","value":"Patient Simulation"},"provenance":null},{"subject":{"scheme":"keyword","value":"Artificial Intelligence"},"provenance":null},{"subject":{"scheme":"SDG","value":"4. Education"},"provenance":null},{"subject":{"scheme":"keyword","value":"Humans"},"provenance":null},{"subject":{"scheme":"keyword","value":"Learning"},"provenance":null},{"subject":{"scheme":"keyword","value":"Education, Nursing, Baccalaureate"},"provenance":null},{"subject":{"scheme":"keyword","value":"Students, Nursing"},"provenance":null},{"subject":{"scheme":"keyword","value":"Clinical Competence"},"provenance":null},{"subject":{"scheme":"SDG","value":"3. Good health"},"provenance":null}],"mainTitle":"Evaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students","subTitle":null,"descriptions":["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.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.This study was a comparative intervention trial.This study was conducted at a university in XX, in XXX in the first semesters of the academic years 2022-2023.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.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).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."],"publicationDate":"2023-08-01","publisher":"Elsevier BV","embargoEndDate":null,"sources":["Crossref"],"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"Nurse Education Today","issnPrinted":"0260-6917","issnOnline":null,"issnLinking":null,"ep":null,"iss":null,"sp":"105857","vol":"127","edition":null,"conferencePlace":null,"conferenceDate":null},"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::f128233c9b752630191f9324775215b0","originalIds":["S026069172300151X","10.1016/j.nedt.2023.105857","50|doiboost____|f128233c9b752630191f9324775215b0","37253303"],"pids":[{"scheme":"doi","value":"10.1016/j.nedt.2023.105857"},{"scheme":"pmid","value":"37253303"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":33,"influence":4.412537e-9,"popularity":2.9105989e-8,"impulse":33,"citationClass":"C4","influenceClass":"C4","impulseClass":"C3","popularityClass":"C4"}},"instances":[{"pids":[{"scheme":"doi","value":"10.1016/j.nedt.2023.105857"}],"license":"Elsevier TDM","type":"Article","urls":["https://doi.org/10.1016/j.nedt.2023.105857"],"publicationDate":"2023-08-01","refereed":"peerReviewed"},{"pids":[{"scheme":"pmid","value":"37253303"}],"alternateIdentifiers":[{"scheme":"doi","value":"10.1016/j.nedt.2023.105857"}],"type":"Article","urls":["https://pubmed.ncbi.nlm.nih.gov/37253303"],"publicationDate":"2023-06-21","refereed":"nonPeerReviewed"}],"isGreen":false,"isInDiamondJournal":false} | |
| local.import.source | OpenAire | |
| local.indexed.at | WOS | |
| local.indexed.at | Scopus | |
| local.indexed.at | PubMed |
