WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Article
    Evaluation of the Effect of Simulation-Based Training Provided to Nurses in the Hospital Environment on Child Neglect and Abuse: Quasi-Experimental Research
    (Elsevier Science Inc, 2026) Sanci, Yagmur; Genc, Canan; Kokkiz, Rukiye
    Background: Child neglect and abuse are major public health concerns, and nurses play a critical role in early recognition. Simulation-based training is a promising method to strengthen knowledge and preparedness. Methods: This quasi-experimental pretest-posttest study was conducted with 20 nurses working in a pediatric emergency unit of a state hospital between March and April 2024. Data were collected using a socio-demographic form and the "Scale for Determining the Knowledge Level of Nurses and Midwives in Diagnosing the Symptoms and Risks of Child Abuse and Neglect." Nurses participated in simulation-based training with a structured scenario, followed by debriefing and posttest. Results: Knowledge scores significantly increased after training, particularly in recognizing physical and behavioral symptoms of abuse. However, improvements were limited in identifying children at higher risk of neglect and abuse. Conclusion: Simulation-based training enhances nurses' knowledge of child abuse recognition and should be integrated into nursing education and in-service programs to improve clinical preparedness. (c) 2026 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
  • Article
    How Should Data Science Education Be?
    (Igi Global, 2020) Gursakal, Necmi; Ozkan, Ecem; Yilmaz, Firat Melih; Oktay, Deniz
    The interest in data science is increasing in recent years. Data science, including mathematics, statistics, big data, machine learning, and deep learning, can be considered as the intersection of statistics, mathematics and computer science. Although the debate continues about the core area of data science, the subject is a huge hit. Universities have a high demand for data science. They are trying to live up to this demand by opening postgraduate and doctoral programs. Since the subject is a new field, there are significant differences between the programs given by universities in data science. Besides, since the subject is close to statistics, most of the time, data science programs are opened in the statistics departments, and this also causes differences between the programs. In this article, we will summarize the data science education developments in the world and in Turkey specifically and how data science education should be at the graduate level.