• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.669-678
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• 2023

The aim of this study is to explore 'how is ICT being used in social work education and are they effective?' In order to answer the questions, a content analysis was conducted. Three academic databases, DBPIA, Kiss, EBSCO were searched to look for the articles that investigated ICT and social work education between Jan. 2016 and July, 2022. No study was found from DBPIA and Kiss. Based on inclusion criteria, thirteen articles were selected from EBSCO. Those articles were analyzed following 9 analytic themes: Country, Undergraduate or Graduate Student, Pedagogical Theory, Course Goal, Course Content, Evaluation Method, Outcome, Applied Software or Program. As results of the study, the platforms primarily used for social work education were VR, Second Life, PeopleSIM, course-tailored Applications. In addition, the following was illustrated as effectiveness of ICT in social work education; immersiveness, course satisfaction, improved knowledge, etc. Study limitations and recommendations of future applications were also discussed.

• Korean Journal of Social Welfare
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• v.67 no.3
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• pp.83-105
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• 2015

This study has two objectives. First, it examines the relationship between organizational trust and error management culture. Second, it also examines the effect of social workers' perceived work value on the combined model by considering the unique characteristics of social work profession and social desirability. This study employs the stratified sampling method on social workers with more than two year work experiences in their current social service agencies that are located in Seoul and Kyungki province; finally it analyzes the responses from 564 social workers by using the method of multiple regression modeling. This study has the following results: (1) there is a causal relationship between social desirability and organizational trust perceived by social workers; (2) there is a positive causal relationship between social workers' perceived work value and organizational trust; and (3) there is also a positive causal relationship between factor structure of error management culture and organizational trust. This study discusses the theoretical and practical implications of the results.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5571-5575
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• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.

• Korean Journal of Occupational Health Nursing
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• v.14 no.2
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• pp.108-117
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• 2005

Purpose: This paper was attempted to focused on the analysis of job stress and job satisfaction according to the moderating effects of social support. Method: Data collected from 302 staff nurses in 2 general hospitals, with self-reporting questionnaires(Wolfgang's HPSI, modified Hagihara's social support, and MSQ). Descriptive statistics, Cronbach's alpha, Pearson correlation, ANOVA, and moderated regression analysis were used. Result: The subjects exhibited significantly highest level of 'the work and patients' conditions'. The perceived job stress was negatively correlated with supervisor and co-workers' support, and job satisfactions. Also supervisor and coworkers' support were positively correlated with job satisfactions. The main factor that affected the job satisfactions was 'work and patient conditions' and it was explained 35.5% out of the total variance of the job satisfactions with 'the work load and disturbing factor', 'supervisor support' and 'co-workers' support'. Supervisor support moderated the relationships between 'the patient care responsibilities and career development factor' and satisfaction. Conclusion: For developing the stress management program for hospital nurses, 'the work and patients' conditions', and the strategies of strengthening 'supervisor and co-workers' support' should be considered. In addition to, it may be considered to examine the effects of social support on the other criterion variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.197-211
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• 2018

This is an exploratory study on the status of the social work field practicum at a cyber university. The purpose is to investigate the current situation and improvement plan of the social work field practicum. A qualitative analysis was conducted with 11 professors who have instructed the social work field practicum at cyber universities. The social work field practicum based on the experiences of the professors is investigated, and this paper analyzes the status according to students, schools, practitioners, and institutions. In order to improve the quality of the social work field practicum, factors for improvement were analyzed through the efforts of students, schools, the Korean social workers' association, institutional improvements, and social welfare instructors. The results of the study are as follows. Students, schools, and training organizations should recognize the importance of the social work field practicum and must strive for systematic and consistent education. It is also important to remember that a social worker is not a professional with simple qualifications, but an expert with a philosophy, values, and ideologies. The direction for improvement in the social work field practicum is as follows. When constructing a social welfare curriculum, the school should have a realistic curriculum and teaching method that can enhance the sense of the field. The student should not be qualified as a social worker only as a vague investment for the future, but should have the professional ability to serve clients as a social worker and to give professional help to clients, considering the best welfare service for human beings. Institutions should provide a place for students to integrate theory and practice in vital social welfare experiences as social workers. The Republic of Korea is now facing an age with one million social workers. In order to open the future of social welfare in Korea, we need united endeavors with government that can develop students as pre-social workers and establish universities, institutions, and their systems for a substantial social work field practicum.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Korean Journal of Social Welfare
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• v.56 no.4
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• pp.103-122
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• 2004

This study is aimed to examine the process of juveniles' steeping in cyber crime for finding out data which could be applied to prevent juveniles' cyber crime and to rehabilitate the juveniles related in cyber crime. Also, this study is designed focusing on the Grounded Theory method, and 5 probationees connected with internet fraud have been interviewed as participants for this study. For the juveniles who had been steeped in cyber crime, some findings according to the analysed data have been emerged in the context of social work intervention. First, interventions need to be focused on the improvement of social environment and juveniles' crooked thoughts to prevent juvenile's Internet fraud and to rehabilitate juveniles related with Internet fraud. Second, workers need to guide the juveniles who have been indecisive on the another crime into regretting their guilty attitude in depth. Third, the prevention of juveniles' Internet fraud needs to be conducted on the level of social movement, and social work practice centers need to grope concrete programs networked with correctional authorities for the social movement.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.178-184
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• 2021

This study was conducted to empirically verify the factors that affect work-life balance according to the age of social workers. The subjects of the study were social workers working at social welfare centers, welfare centers for the disabled, and welfare centers for the elderly located in Jeollabuk-do, and 313 copies of 42 facilities that participated in the survey were used for the final analysis. The research method used a multi-level model that calculated individual factors (Level 1) and institutional factors (Level 2). The main research results are as follows. First, 20.2% of the total variance in the work-life balance of social workers was found to be different for each local welfare center. Second, as a result of examining the factors affecting work-life balance of social workers by age, it was found that job demands had a negative effect on work-life balance in all age groups. In particular, in their 30s, family demands and women's work-life balance were more negative than men's, and economic status was found to be an important influencing factor on work-life balance. Based on these results, we discussed ways to improve work-life balance for social workers.

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.116-132
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• 2001

The goal of the environmental education in High School is to make students survey and work out the issues on environment and to help them continue and improve the work. It is important that we should educate students the rational ability of decision-making. The more they can make decisions rationally, the more they participate actively in that. The purpose of this study is to develope the model of a new teaching-learning method coinciding with the goal of the environmental education of Social studies in High School. This study is backed up by the following developing processes. To begin with, the contents related to environmental problems in Social Studies Curriculum are being investigated. To urge the importance of STS(Science, Technology and Society), 1 will present the righteous understanding of Science in societal contexts, the development of rational decision-making abilities, and the cognitive connections between society and science. For this, 1'm representing a new model of learning-teaching method, backed up by Constructivism, especially Vygotsky's ZPD theory, giving 4 steps from everyday concepts to natural lingistic thought. Based on the above hypothesis, at last I will represent a STS whose topic is a problem of beach preservation because I intend to show the possibility of STS on the environmental education of Social Studies through this study. This study will help us lay a foundation stone of introducing STS in environmental education of Social Studies.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.