The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study
Yazarlar (2)
Doç. Dr. Selda KARAVELİ ÇAKIR Kastamonu Üniversitesi, Türkiye
Doç. Dr. Şahika ŞİMŞEK ÇETİNKAYA Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | NURSE EDUCATION IN PRACTICE (Q1) | ||
| Dergi ISSN | 1471-5953 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 03-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-03-2026 |
| Cilt / Sayı / Sayfa | 92 / 92 / – | DOI | 10.1016/j.nepr.2026.104757 |
| Makale Linki | https://doi.org/10.1016/j.nepr.2026.104757 | ||
| UAK Araştırma Alanları |
Sağlık Bilimleri
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| Özet |
| AimThe aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self-examination (BSE) skills and to examine in-depth the experiences of students who received BSE training with artificial intelligence-supported simulation.BackgroundThe integration of active learning and artificial intelligence is gaining importance in nursing education. To better equip nursing students with BSE competencies, this study uses an AI-supported simulation environment as an innovative and interactive educational approach.DesignA sequential explanatory mixed-methods design was used.MethodsThe study was carried out in the Nursing Department of the Faculty of Health Sciences at a public university in northwestern Turkey during the 2024-2025 spring semester. We collected quantitative data on skill scores, satisfaction and cognitive load from an artificial … |
| Anahtar Kelimeler |
| Nursing student | Artificial intelligence-supported simulation | Mixed-method study | Breast self-examination |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Google Scholar | 3 |