2026-10-28T01:35:59Zhttps://kostu-rdlopen.rawdatalibrary.net/oai/request

oai:kostu-rdlopen.rawdatalibrary.net:kostu/103842026-10-27T23:53:15Zopenairecom_kostu_10000col_kostu_10001com_kostu_10010col_kostu_10063

Artificial intelligence–assisted scenario development for simulation-based pediatric forensic case training: A qualitative study of paramedic students’ experiencesAkkol, SefaErdoğan, BirgülArslan, CananBağlioğlu, NihalHurma, AykutArtificial intelligenceForensicParamedicPediatricPhenomenologyQualitativeSimulation-based trainingBackground: 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.Elsevier Inc.2026Articlehttps://rdlopen.rawdatalibrary.net/r/kostu/10384https://doi.org/10.1016/j.ecns.2026.1020661876-1399enClinical Simulation in Nursinginfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://kostu-rdlopen.rawdatalibrary.net/tr/items/kostu/10384