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1 →- MakaleYalnız künye2026Scopus SJRQ1Artificial intelligence–assisted scenario development for simulation-based pediatric forensic case training: A qualitative study of paramedic students’ experiences
Akkol, Sefa; Erdoğan, Birgül; Arslan, Canan; Bağlioğlu, Nihal; Hurma, Aykut
Background: This study aimed to explore first-year paramedic students’ perceptions, emotions, and experiences related to scene management in pediatric forensic cases and to examine their experiences following a simulation training module developed with artificial intelligence–assisted scenario development. Methods: This qualitative study was conducted using a phenomenological approach. Data were collected through individual and focus group interviews conducted before and after the simulation training intervention Results: Following the training, students reported perceived improvements in clinical self-confidence, professionalism, awareness of evidence preservation, ethical sensitivity, and adoption of a child-centered approach. Conclusion: Simulation-based pediatric forensic training incorporating AI-assisted scenario development may support students’ professional awareness, forensic reasoning, and decision-making processes.
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| creativeworkseries.issn | 1876-1399 | |
| dc.date.accessioned | 2026-10-27T23:47:28.545426461Z | |
| dc.date.available | 2026-10-27T23:47:28.545426461Z | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/kostu/10386 | |
| dc.publisher | Elsevier Inc. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Clinical Simulation in Nursing |


