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    A different country, a different language, a different culture... Educational experiences of international nursing students studying in Turkey: A qualitative study
    (Elsevier Sci Ltd, 2024) Unsal, Erkan; Yalcinkaya, Turgay; Donmez, Aysegul; Yucel, Sebnem Cinar
    Aim: This study was aimed at investigating the educational experiences of international nursing students in Turkey. Background: Nursing education has now gained an international dimension, which creates an environment where students from different cultures come together. In Turkey, nursing education is expanding internationally due to the increasing number of international students. Design: A descriptive- phenomenological qualitative study. Methods: The study data were collected from nursing students who came to Turkey from 17 different countries between April 2023 and July 2023 to study at a nursing faculty in Turkey using a semi -structured interview form. Of these students, 27 constituted the study sample. The data collected were analyzed using the content analysis. The COREQ checklist was used in reporting the study. Results: Four themes emerged: a) challenges, b) gains, c) support needs and d) recommendations. Among challenges reported by the participating students were language barriers, cultural adjustment issues and lack of social support. As for the gains of being a foreign student, they stated that they experienced intercultural interaction and improved their language skills, independence and self-confidence. In the study, the need for language support, provision of psychological assistance and cultural adaptation support for these students and the importance of practical recommendations such as mentoring programs and orientation trainings to improve their educational experience were emphasized. Conclusion: In conclusion, in this study, the importance of targeted strategies in nursing education in areas such as language support, psychological assistance and cultural adaptation was emphasized, which helps international students to have a successful educational experience. It was also concluded that mentoring programs and orientation trainings could enrich the educational processes of students by facilitating their adaptation to their new environment. This study is notable in the literature in that students from 17 diverse countries share the same program and the same prerequisites.
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    Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education
    (Elsevier Sci Ltd, 2024) Yalcinkaya, Turgay; Yucel, Sebnem Cinar
    Aim: This study was conducted to perform the bibliometric and content analysis of ChatGPT studies in nursing education. Background: ChatGPT is an artificial intelligence -based chatbot developed by OpenAI. The benefits and limitations of the use of ChatGPT in nursing education are still discussed; however, it is a tool having potential to be used in nursing education. Design: Bibliometric and content analysis. Methods: The study data were scanned through Scopus and Web of Science. Bibliometric analysis was carried out with VOSViewer and Bibliometrix software. In the bibliometric analysis, science mapping and performance analysis techniques were used. Various bibliometric data, including most cited publications, journals and countries, were analyzed and visualized. The synthetic knowledge synthesis method was used in content analysis. Results: We analyzed 53 publications to which 151 authors contributed. The publications had been published in 29 different journals. The average number of citations of publications is 8.2. It was determined that most of the articles were published in Nurse Education Today and Nurse Educator journals and that the leading countries were the USA and Canada. It was observed that international cooperation on the issue was weak. The most frequently mentioned keywords in the publications were ChatGPT, artificial intelligence and nursing. The following three themes emerged after the content analysis: (1) Integration of ChatGPT into nursing education; (2) Potential benefits and limitations of ChatGPT; and (3) Stepping down the rabbit hole. Conclusions: We expect that the results of the study can give nursing faculties and academics ideas about the current status of ChatGPT in nursing education and enable them to make inferences for the future.
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    Exploring Nursing Students' Attitudes and Readiness for Artificial fi cial Intelligence: A Cross-Sectional Study
    (Elsevier Science Inc, 2024) Yalcinkaya, Turgay; Ergin, Eda; Yucel, Sebnem Cinar
    Background: Understanding nursing students' attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. Aim: This study aimed to determine nursing students' attitudes towards and readiness for AI. Methods: This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). Results: The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 +/- 0.62, 3.23 +/- 0.82, and 76.93 +/- 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p < 0.01). Conclusions: The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum. (c) 2024 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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    I would like to use it more effectively… nursing student's experiences with NANDA-I nursing terminology: a qualitative descriptive study
    (Bmc, 2025) Yalcinkaya, Turgay; Unsal, Erkan; Donmez, Aysegul; Yucel, Sebnem Cinar
    BackgroundStandardized nursing terminologies play a crucial role in describing and documenting nursing care. For students, learning the components of the NANDA-I terminology-such as defining characteristics and related factors-accurately is essential for determining nursing diagnoses. However, there is a notable lack of qualitative studies investigating Turkish nursing students' experiences with these terminologies. This study aimed to explore nursing students' experiences regarding NANDA-I nursing terminology.MethodsThis descriptive qualitative study was conducted with 29 second-, third-, and fourth-year nursing students. Data were collected through face-to-face, in-depth, and semi-structured interviews between June 2023 and December 2023. Content analysis was used to analyze the data.ResultsContent analysis revealed four main themes: (a) knowledge and awareness, (b) the facilitating effect of NANDA-I on patient care, (c) improvement of NANDA-I terminology training, and (d) challenges in utilizing NANDA-I.ConclusionsThe findings of this study offer recommendations for nursing educators to make adjustments to the educational curriculum concerning NANDA-I terminology. Developing nursing education curricula is crucial to help students gain a better understanding of NANDA-I terminology and to utilize it effectively in clinical practice.Clinical trial numberNot applicable.
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    Nurses' knowledge of, attitudes towards and awareness of the metaverse, and their future time perspectives: a cross-sectional study
    (Bmc, 2024) Ergin, Eda; Yalcinkaya, Turgay; Yucel, Sebnem Cinar
    Background The metaverse is a new and developing technology used in the field of healthcare. The perception of future explains time as a psychological phenomenon rather than a physical one. This study aimed to determine nurses' thoughts of the metaverse and their perceptions of future.Methods The study in which the cross-sectional descriptive design was used was conducted with nurses working in a hospital in Trkiye from September 2022 to December 2022. Face-to-face interviews were conducted with 374 nurses who were chosen using the convenience sampling method. Personal Identification Form, Metaverse Scale (MS) and Future Time Perspective Scale (FTPS) were used to collect data. The Statistical Package for Social Sciences (SPSS) for Windows 25.0 program was used to analyse the data.Results The findings revealed that 81.6% of the nurses believed that they could provide patient education using the metaverse in the future, whereas 46% believed that they could do virtual nursing. The mean scores obtained from the FTPS and MS by the nurses were 3.45 (SD = 0.37) and 3.74 (SD = 0.56), respectively. There was a weak positive relationship between perception of future, and knowledge of, attitudes towards and awareness of the metaverse (r = 0.157, p = 0.002), and a weak, positive relationship between internet use duration and MS (r = 0.169, p = 0.001).Conclusions This study underscores the potential of the metaverse in nursing, revealing that nurses are optimistic about its application in patient education and virtual care. We recommend the development of specialized training programs to equip nurses with the necessary skills and knowledge to effectively utilize the metaverse in healthcare settings.