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Öğe 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 CinarAim: 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.Öğe Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education(Elsevier Sci Ltd, 2024) Yalcinkaya, Turgay; Yucel, Sebnem CinarAim: 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.Öğe Evaluation of ChatGPT-4, Gemini, Claude, and Copilot in Generating Nursing Diagnoses Based on NANDA-I Taxonomy II: A Comparative Cross-Sectional Study(Wiley, 2025) Tuncer, Metin; Yalcinkaya, TurgayAim To evaluate the capability of large language models to generate nursing diagnoses based on NANDA-I Taxonomy II and assess their performance across domains and overall.Background Large language models are emerging tools in nursing, showing potential to aid in diagnosis generation and education. However, their accuracy and applicability in clinical and educational settings remain underexplored.Methods This cross-sectional comparative study used 10 realistic patient scenarios based on NANDA-I Taxonomy II, covering 12 domains. The study aimed to evaluate the capability of four models to generate nursing diagnoses based on patient scenarios. The responses were assessed by five nursing experts for accuracy and alignment with NANDA-I Taxonomy II in a single-blind evaluation process.Results All models demonstrated similar performance across different domains and overall, with Claude attaining the highest overall performance score. Expert evaluations indicated moderate interrater reliability.Discussion Small variations between models and occasional omissions suggest that expert review is still required before clinical use.Conclusions Large language models are not yet sufficiently reliable for independent use in clinical settings and nursing education. Their application as supportive tools necessitates a cautious approach. Moreover, the development of specialized models designed to address the unique demands of the nursing field would be advantageous.Implications for nursing When large language models are used in nursing practice, their limitations should be considered, and the outputs they produce should be verified by nurses.Implications for nursing policy Ensuring the safe integration of artificial intelligence tools into nursing necessitates the establishment of robust regulatory policies to safeguard patient safety, the deployment of effective systems to monitor models' performance, and the development of comprehensive guidelines and training programs.Öğe 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 CinarBackground: 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.Öğe 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 CinarBackgroundStandardized 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.Öğe 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 CinarBackground 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.Öğe Nursing students' cybersecurity practices and perceptions and cybersecurity crime awareness: A cross-sectional study(Churchill Livingstone, 2025) Yalcinkaya, Turgay; Tuncer, Metin; Tuncer, Gulsum Zekiye; Erol, Ahmet; Yucel, Sebnem CinarBackground: Cybersecurity has become a critical issue with the increasing use of digital platforms in healthcare. Understanding nursing students' cybersecurity practices, perceptions, and cybercrime awareness is essential for improving healthcare security and developing strategies to mitigate cyber threats. Aim: This study aimed to determine nursing students' cybersecurity practices, perceptions, and cybercrime awareness. Design: A descriptive cross-sectional design was used. Setting: The study was conducted between April and June 2024 at a School of Nursing within a public university in T & uuml;rkiye. Participants: A total of 434 undergraduate nursing students participated in the study. Methods: Data were collected face-to-face using a paper-and-pencil technique. The data collection tools used included the Personal Information Form, Cyber Security Scale (CSS), and Cyber Crime Awareness Scale (CAS). Data analysis utilised descriptive statistical methods, Pearson correlation analysis, independent samples t-test, ANOVA, and linear regression analysis. Results: The study revealed that 92.9 % of the students had not received any prior cybersecurity education. The mean CSS score was 87.50 +/- 11.40, and the mean CAS score was 174.75 +/- 36.75. A moderate positive correlation was found between the CSS and CAS scores (r = 0.576, p < 0.01). A positive relationship was found between computer usage skills and CSS scores (r = 0.190, p < 0.01), while a weak negative correlation was observed between internet usage duration and CSS scores (r = -0.095, p < 0.05). No relationships were identified between the CSS score and age, gender, or cybersecurity education. Linear regression analysis showed that higher computer usage skill levels were significantly associated with increased CSS scores (B = 1.129, p < 0.001). Conclusions: The findings highlight the importance of integrating cybersecurity education into the nursing curriculum. Enhancing cybersecurity awareness and practices may help protect patient data and support safer healthcare by better preparing nursing students for cyber threats.Öğe Thirty-Five Years of Knowledge in Transcultural Nursing: A Bibliometric Analysis of Journal of Transcultural Nursing(Sage Publications Inc, 2025) Yalcinkaya, Turgay; Unsal, ErkanIntroduction: This bibliometric analysis aims to examine articles published in Journal of Transcultural Nursing (JTCN), between 1989 and 2024.Method: This study analyzed 1,675 JTCN publications from 1989 to 2024 using Scopus as a data source. Performance analysis and scientific mapping techniques were used for bibliometric metadology. Analyses were performed with VOSviewer and Bibliometrix software.Results: In total, 1,675 articles were included in the study. The most prolific authors are Leininger, M., Boyle, J.S., Pacquiao, D.F., and Zoucha, R. The leading countries in terms of number of publications are the United States, Canada, and Australia. According to the co-occurrence analysis, six research themes emerged. In addition, it was determined that nursing care, COVID-19, social determinants of health, health equity, and refugees were trending topics.Discussion: Our findings can provide nurses and academicians with ideas on the subject by identifying trending topics and leading researchers in JTCN.Öğe Turkish Version of the Sense of Belonging in Nursing School Scale: Validity and Reliability for Nursing Students(Springer Publishing Co, 2025) Tuncer, Metin; Tuncer, Gulsum Zekiye; Yalcinkaya, Turgay; Ince, Merve; Yucel, Sebnem Cinar; Khorshid, LeylaBackground: While a sense of belonging may be necessary for human motivation, the disruption of this sense of belonging among nurses can have implications for patient care and safety. Aim: This article was aimed at assessing the sense of belonging experienced by nursing students in three different settings (clinic, classroom, and student group) by conducting the validity and reliability of the Sense of Belonging in Nursing School (SBNS) scale, adapting it to the Turkish language and culture, and reporting the results. Methods: The study was conducted in a nursing faculty between March and July 2023. The study sample comprised 193 nursing students. We performed the content validity assessment of the 19-item SBNS scale after conducting a structural validity analysis using exploratory factor analysis and confirmatory factor analysis (CFA). The Cronbach's alpha and item-total score correlations were examined to assess the scale's internal consistency. Results: The Kaiser-Meyer-Olkin measure of sampling adequacy for the SBNS instrument was 0.903, and the result of Bartlett's test of sphericity was significant (chi 2 = 3182.764, p = 0.000), indicating that the scale was suitable for factor analysis. The eigenvalue analysis identified a four-factor structure explaining 76.74% of the total variance. These four factors were subsequently named as follows: (1) clinical compliance, (2) social belonging, (3) school support, and (4) clinical support. The goodness-of-fit values for the model obtained from the CFA were chi 2/SD = 2.15, comparative fit index = 0.947, goodness-of-fit index = 0.852, normed fit index = 0.906, incremental fit index = 0.948, and root mean square error of approximation = 0.077, suggesting that the model fit was acceptable, and the four-factor structure was well distributed. The scale exhibited high internal consistency (alpha = 0.933). Discussion: The SBNS scale is a reliable and valid instrument for measuring the sense of belonging experienced by nursing students in three different environments. Further research is needed to establish its predictive validity. Conclusions and Implications for Nursing: This study was conducted, and there was no scale used in the Turkish literature to measure nursing students' sense of school belonging; thus, it is the first in this sense.Öğe 'When I Migrated, I Faced Challenges but Gained Much More…' Challenges and Support Needs of Internationally Educated Nurses-A Qualitative Study(Wiley, 2026) Yalcinkaya, Turgay; Unsal, ErkanAimThis study aims to examine the experiences and support needs of internationally educated nurses (IENs) who migrated from T & uuml;rkiye to different countries.BackgroundWith the impact of globalisation and changes in the healthcare sector, the migration of IENs is on the rise. The global shortage of nurses has prompted high-income countries to increase their recruitment of nurses from low- and middle-income countries.MethodsThis descriptive qualitative study included 16 nurses who had migrated to seven different countries: Germany (n = 3), England (n = 3), the USA (n = 3), Canada (n = 2), Sweden (n = 2), Ireland (n = 2) and Switzerland (n = 1). Data were collected between August and November 2024 using Google Meet. The data were analysed using content analysis. The COREQ Checklist was utilised for data analysis and reporting.ResultsContent analysis identified four main themes: (1) challenges encountered, (2) professional and personal development gains, (3) support needs and (4) recommendations for development and adaptation.ConclusionsThis study revealed that IENs face challenges such as professional adjustment, language barriers and cultural differences, while also experiencing gains such as professional skill development and enhanced intercultural nursing competencies.Implications for Nursing Practice and PoliciesThe findings highlight the critical role of orientation and mentoring programmes that include language training, cultural awareness and psychological support and emphasise the need for more inclusive and sustainable health policies that support the integration of IENs.Reporting MethodThe Consolidated Criteria for Reporting Qualitative Studies (COREQ).Patient or Public ContributionNo patient or public contribution.
