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Öğe The relationship between resilience and solution-oriented thinking in nursing students(Elsevier Sci Ltd, 2023) Avcı, Dilek; Ataç-Öksüz, MerveObjective This study aimed to determine the relationship between resilience and solution-oriented thinking in nursing students. Background Although resilience seems to be related with solution-oriented thinking in nursing students, there are only a few studies investigating these two variables in the literature. Design This is a cross-sectional survey study. Methods This study was conducted with 585 nursing students in Turkey, between February 2022 and May 2022. The data were collected using a personal information form, the resilience scale for nurses (RSN) and solution-focused inventory (SFI). To analyze the data, descriptive statistics, t-test, ANOVA, Pearson’s correlation and multivariate linear regression analysis were used. Results In this study, the mean scores the nursing students obtained from the RSN and the SFI were 71.96 (SD 8.11) and 51.49 (SD 6.21), respectively. The correlation analysis revealed a significant positive correlation between resilience and solution-oriented thinking. Gender, economic status, grade point average and solution-focused thinking skills were determined to be the significant predictive factors of the resilience levels of the students. Conclusions This study shows that solution-oriented thinking is an important determinant of resilience. Therefore, starting from the first year of nursing education, students’ resilience levels and solution-oriented thinking skills should be evaluated, and the curriculum should be arranged to increase students’ resilience levels.Öğe Investigation of the Relationships of Digital Addictions, Social Connectedness and Life Satisfaction with Academic Resilience(Pamukkale Üniversitesi, 2023) Özcan, Nilgün; Açar, Erhan; Köse, Mehmet FatihThis study aims to investigate the direct and indirect effects of digital addictions, social connectedness and life satisfaction on academic resilience among high school students. The study's sample group consisted of 553 high school students. The Internet Addiction, Social Media Use Disorder, Digital Game Addiction, Smartphone Use, Social Connectedness, Life Satisfaction and Academic Resilience scales were used to collect data. In addition to descriptive statistics, correlation analysis and path analysis were used in data analysis. The main finding of the study is that digital addictions have a negative and statistically significant effect on social connectedness and academic resilience. The direct effect of digital addictions on life satisfaction was not statistically significant. Our results have revealed that social connectedness has a positive and significant effect on life satisfaction and academic resilience and that life satisfaction has a positive and significant effect on academic resilience. In the light of the results of the study, it is recommended to encourage balanced and controlled use of digital communication tools by considering the balance of addiction and need, and to increase the awareness of educators, students and parents about the balance of benefits and harms.Öğe Psychological distress and professional quality of life in nurses caring for patients with COVID-19(Edizioni Minerva Medica, 2023) Avcı, Dilek; Ataç, Merve; Tarı Selçuk, Kevser; Gündoğdu, Nurcan AkgülBACKGROUND: During a pandemic, stressful situations cause nurses to suffer compassion fatigue and burnout in addition to psychological distress. The aim of this study was to determine psychological distress and professional quality of life in nurses caring for patients with COVID-19, and to evaluate the effects of psychological distress and some risk factors on professional quality of life. METHODS: This online study was conducted with 214 nurses, between November 2020 and December 2020, in Türkiye. Data were collected with the Personal Information Form, Depression, Anxiety, Stress Scale and Professional Quality of Life Scale. For the analysis, t tests, ANOVA, Kruskal Wallis-H Test, Pearson’s correlation, multivariate linear regression analysis were used. RESULTS: The nurses had high levels of depression, anxiety and stress. Nurses’ compassion satisfaction, compassion fatigue and burnout levels were found as medium. Also, sex, age, marital status, the number of children, economic status, education level, length of service in the profession, weekly working hours, depression and stress levels were determined to be significant predictive factors for nurses’ professional quality of life. CONCLUSIONS: This study demonstrates that nurses are under a considerable risk for psychological distress, compassion fatigue and burnout. Training, counseling and support programs are important to protect nurses’ mental health and to increase the quality of professional life.Öğe A Case Study on the Implementation of Experiential Learning Integrated with Virtual Reality Technology in Teacher Education(2024) Karadayı, Zafer; Gencel, İlke EvinIn this study, the implementation of experiential learning integrated with virtual reality (VR) technology in teacher education was investigated. The study involved 29 pre-service teachers selected through purposive sampling for its case study design. Within the study, the participants first received an informative training session on experiential learning theory and VR technologies. Subsequently, they engaged with two different scenarios, each offering three degrees of freedom, using cardboard VR glasses. This process aligned with the stages of Kolb's Experiential Learning Theory, encompassing concrete experience, reflective observation, abstract conceptualization, and active experimentation. Data collection employed semi-structured interviews, metaphor analysis, and unstructured researcher observations. The data were then analyzed using content analysis techniques. The results revealed that 19 pre-service teachers encountered VR technology for the first time, whereas 7 had previously experienced VR only for gaming purposes. None of the participants had prior experience using VR technology for educational purposes. Participants generally responded positively to the VR-integrated experiential learning implementation, finding it engaging. VR appears to hold potential for widespread use in education, particularly during challenging periods like pandemics. Additionally, VR could prove effective in adapting instruction to individual differences and fostering inclusive education. The potential benefits of integrating VR technology into teacher education programs were highlighted. However, the frequent citation of unequal technology access by participants was noted as a disadvantage. This criticism, rather than targeting the VR-integrated experiential learning practice itself, underscores socioeconomic barriers that may hinder its widespread adoption.Öğe Research on Behavior of Two New Random Entity Mobility Models in 3-D Space(Springer Science and Business Media Deutschland GmbH, 2022) Bilgin, Metin; Eser, MuratMobile data collectors that can be used without a central control mechanism currently have common use in many fields. Because they do not need a central unit, each node in a network can move independently. The field literature offers various group- or entity-based models to define the functioning of mobile data collectors. In this study, a random entity mobility model (REMM) research was performed. The study was based on the models random walk (RW) and random waypoint (RWP), used in several former studies mentioned in the literature. Furthermore, the models random point (RP) and random journey (RJ) proposed by Bilgin [1] for two-dimensional (2D) space were transferred to three-dimensional (3D–cubic) to be used in the study. Study findings obtained by defining a various number of fixed nodes in areas of various sizes were analyzed using 4 different metrics. It was observed that 4 different metric values decreased for 4 REMMs when the cubic area was enlarged by increasing the edge lengths (150–200–250 pixel) of the cubic. When the cubic’s edge length is 150-200-250 pixel, respectively, connected node ratio (CNR) metric value is 98.04%–95.8%–91.34% for RP and 96.83%-83.23%-70% for RJ. Provided that the cubic area remains constant, the increases in the number of nodes generally tend to increase, although there are slight fluctuations on the results. When the cubic edge is 200 and the node numbers are 4–6–8–10, the message delay is 13.345–16.566–27.386–40.050 seconds for RW and 6.579–9.124–11.431–13.456 seconds for RWP. In the comparisons made by taking the average of the values obtained according to the size of the cubic area and the number of nodes, the RP model reached the highest values for all metrics. For example, the visited node ratio (VNR) metric average for the cubic edge 200 pixels is 98.76% for RP and 94.68%–87.38%–94.78% for RW–RWP–RJ. The VNR metric for the cubic edge 250 is 96.55%–93.7%–87.45%–51.27% for the RP–RW–RWP–RJ. Similarly, the average values obtained for other metrics prove this situation. In addition, when the results of the study are examined, it has been measured that the RP model can deliver the message to the base with less delay than other models. The average delay for the cubic edge 150 is 2.933–27.667–23.236–5.698 second for the RP–RW–RWP–RJ and 2.846–24.337–10.148-4.293 second when the edge is 200. When the average results obtained were examined, the success ranking in the delay metric was RP–RJ–RWP and RW, while the other metrics were formed as RP–RJ–RW–RWP. Considering all the obtained results, it was seen that the proposed two models achieved better results than the existing models in 3D after 2D.
