• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.229-242
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• 2021

The purpose of this study is an empirical case study that focuses on bring about changes in clients through narrative therapy using scaffolding. Through this, the purpose was to find the preferred values and hopes of the future among the stories that the client's has lived in. As the research method, we proceed through unstructured interview and loose structures in qualitative research. On this premise, the counselor did not diagnose or explain the 'decentralized but influential' attitudes and problem. And there was no order in the conversation, and I didn't decide in advance how to react to it before the client made any expressions. This study has the following significance on a practical and academic level: First of all, counseling through scaffolding further enrich the curiosity, temperament, and wishes of the client. Second, the scaffolding provides a concrete picture of the relationship between a counselor and a client in narrative therapy. Third, the scaffolding made in therapeutic dialogue presents a 'learning tasks'. Fourth, counseling through scaffolding has an active meaning that it can develop the higher mental function of clients in charge. Finally, we presented an application of narrative therapy in Vygotsky's theory through analysis of empirical cases. Based on this information, this study did not simply intend to position the client as a research object in narrative therapy. It is meaningful that they have identified the factors necessary to become the subject of narrative therapy and the role of the counselor in the process. In addition, this study has implications in that it contributed to the expansion and substantialization of the research scope of narrative therapy in that it utilized the concept of scaffolding, which has not received much attention in the domestic research.

• Journal of Science Education
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• v.46 no.1
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• pp.53-65
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• 2022

In the application and composition of learning content, the field trip learning of scientific inquiry could provide a positive effect. Also, it can arouse an experience of various inquiry activities through open thinking. In addition, it could take a positive effect by providing the diversity and specificity of wildlife experience for the living organism. The biology inquiry program of the field trip is a necessary process to acquire ecological experiences in the learning context. However, there is some problem to solve before the performance of field trip learning as professional knowledge of the outdoors inquiry. Therefore, this study developed a field trip inquiry program for the plant in a coastal dune using artificial intelligence to assist professional knowledge. The researcher carried out literature reviews and analysis related to studies and programs to investigate learning steps, content, and strategy. Also, this study investigated the effects of the program on the affective domain of gifted elementary science students. According to the results of this study, the program can provide a positive effect on motivation, task commitment, and attitude level. Consequently, the field trip learning program for plant in the coastal dune using artificial intelligence developed in this study can arouse a positive effect on the affective domain. Therefore, additional study is necessary related to inquiry programs of the field trip for various students and sites.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.45-64
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• 2022

Due to the recent and rapid globalization, logistics outsourcing has expanded globally and is seen as a means of creating a robust logistics system. However, many businesses continue to have difficulties with their logistics outsourcing contracts, which compels them to reinstate the logistics function for internal management. This study aims to investigate how organizational capabilities of logistics service providers (LSPs), notably flexibility, integration, innovation, and technological capabilities, impact on the logistics outsourcing success in Ugandan food processing firms. Using a structured questionnaire survey, cross-sectional data collected from 211 food processing firms in Kampala - Uganda were analyzed by partial least squares-structural equation modeling (PLS-SEM) using SmartPLS 3.3.7 software to examine the theorized relationships. The study findings revealed that whereas the technological and innovation capabilities positively and significantly influence logistics outsourcing success, the effects of flexibility and integration capabilities were insignificant. Additionally, the importance-performance map analysis (IPMA) reveals that the technological capability is a priority capability, followed by the innovation capability if logistics outsourcing success is to be achieved. Conversely, flexibility and integration capabilities are of low priority.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.563-574
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• 2023

Recently, climate change has affected functional responses of river basins to meteorological variables, emphasizing the importance of rainfall-runoff simulation research. Simultaneously, the growing interest in machine learning has led to its increased application in hydrological studies. However, it is not yet clear whether machine learning models are more advantageous than the conventional conceptual models. In this study, we compared the performance of the conventional GR6J model with the machine learning-based Random Forest model across 38 basins in Korea using both gauged and ungauged basin prediction methods. For gauged basin predictions, each model was calibrated or trained using observed daily runoff data, and their performance was evaluted over a separate validation period. Subsequently, ungauged basin simulations were evaluated using proximity-based parameter regionalization with Leave-One-Out Cross-Validation (LOOCV). In gauged basins, the Random Forest consistently outperformed the GR6J, exhibiting superiority across basins regardless of whether they had strong or weak rainfall-runoff correlations. This suggest that the inherent data-driven training structures of machine learning models, in contrast to the conceptual models, offer distinct advantages in data-rich scenarios. However, the advantages of the machine-learning algorithm were not replicated in ungauged basin predictions, resulting in a lower performance than that of the GR6J. In conclusion, this study suggests that while the Random Forest model showed enhanced performance in trained locations, the existing GR6J model may be a better choice for prediction in ungagued basins.

• 한국노년학
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• v.29 no.1
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• pp.243-258
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• 2009

Background: Falls are among the most common and serious health problems of older people. The psychological symptoms of falling have received relatively little attention compared to physical problems. Objective: The purpose of this study is to test a model to explain the factors that influence fear of falling among older adults living in a continuing care retirement community (CCRC) in Baltimore city, United States. Methods: A secondary analysis was conducted using data obtained from a Health Promotion Survey done on 149 older adults living in a CCRC. Data was originally obtained during face to face interviews with each participant. Descriptive statistics and bivariate correlations were used to describe the sample and evaluate simple correlations. A path analysis was done using the AMOS 4.0 statistical program. Results: Of the 49 hypothesized paths, 13 were statistically significant, and the model accounted for 22% of the variance in fear of falling among the elderly. There was support for the fit of the model to the data with a nonsignificant chi square at 0.478 (df=2, p=0.79), and the ratio of chi-square to degrees of freedom was 0.24, a CFI of 0.99 and RMSEA of 0.00. In particular, gender, a history of falling, and exercise were significant predictors of fear of falling. Conclusions/Implications: As anticipated, exercise is an important factor to prevent fear of falling. As a modifiable variable, self-efficacy and outcome expectation indirectly influence fear of falling through exercise.

• 한국노년학
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• v.39 no.2
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• pp.285-304
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• 2019

The purpose of this study was to investigate the effects of leisure-based occupational therapy on leisure satisfaction, activities of daily living, and rehabilitation motivation in elderly patients with chronic diseases. In the study, Subjects were assigned to either the control or experimental group. The experimental group consisted of 10 and the control group of 14 patients. The experimental group receive a Leisure-based occupational therapy intervention, and the control group receive a conventional occupational therapy intervention. Leisure satisfaction, activities of daily living, and rehabilitation motivation were measured to Canadian occupational performance measure(COPM), Korean Activities of Daily Living(K-ADL·K-IADL), and Patient Questionnaire of Rehabilitation Motivation(PAREMO). Evaluation scores were compared before and after intervention to determine whether or not there were differences over time. And we examined the correlation between the variables. The results of this study were as follows: 1) The leisure-based occupational therapy has a significant effect on leisure satisfaction and rehabilitation motivation(p<.01). 2) The conventional occupational therapy has a significant effect on activities of daily living(p<.01). 3) There was a significant correlation between ADL and IADL(p<.01). 4) There was a significant correlation between leisure satisfaction and Rehabilitation Motivation(p<.01). Implications for occupational therapy include that we must offer appropriate approach with considering the interests and value of patients to them. And proposing studies to demonstrate the efficacy of occupational therapy approaches.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.91-98
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• 2024

With the advancement of ICT (Information and Communication Technology), searching for judgments through the internet has become increasingly convenient. However, predicting sentencing based on judgments remains a challenging task for individuals. This is because sentencing involves a complex process of applying aggravating and mitigating factors within the framework of legal provisions, and it often depends on the subjective judgment of the judge. Therefore, this research aimed to develop a model for predicting sentencing using artificial intelligence by focusing on structuring the data from judgments, making it suitable for AI applications. Through theoretical and statistical analysis of previous studies, we identified variables with high explanatory power for predicting sentencing. Additionally, by analyzing 50 legal judgments related to serious crimes that are publicly available, we presented a framework for extracting essential information from judgments. This framework encompasses basic case information, sentencing details, reasons for sentencing, the reasons for the determination of the sentence, as well as information about offenders, victims, and accomplices evident within the specific content of the judgments. This research is expected to contribute to the development of artificial intelligence technologies in the field of law in the future.

• Journal of the Korean Geographical Society
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• v.29 no.4
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• pp.420-437
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• 1994

The starting point of the research is the relation between capital restructuring and urban restructuring. The economic restructuring, which has been caused by the economic crisis in the early 1970s in the United States has brought a spatial restructuring at different geographic scales. The degree of the success of urban restructuring is contingent to the local economic and political environments. The local contingent factor such as local politics should not be neglected for investigating the restructuring process. Through the case study of Chicago, the research provides two inconsistencies in applying the structural approach to the local level: first, the lack of the theoretical link between crisis and restructuring; and second, the crucial importance of local politics in shaping urban development.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.88-99
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• 2019

This study aims to conduct a depth analysis of motivation and value of local residents and tourists based on means-end chain theory. The sampling of the study was conducted on local residents living near downtown area of Gyeong-ju City, and tourists through soft laddering and hard laddering methods. A mutual correlation model in relation with Hierarchical Value Map (HVM) for each group by conducting the analysis of factor loading (attributes, consequences, value) and cognitive structure (the correlations among attributes, consequences and value) was proposed and the comparisons of HVM for each group was also conducted. The structured questionnaires using Association Pattern Technique (APT) of hard laddering were utilized to analyze the means and end of value chain structures in terms of the attributes, consequences, value of Gyeong-ju Ancient Tombs. The findings propose that local residents are visiting Ancient Tombs Gyeong-ju City Center for 'Rest and take a walk' as the means, which results in 'Relieving stress' and eventually leads to the 'Improvement of historic and cultural cultivation' as the end. On the other hand, tourists also 'Rest and take a walk' as the mean, which also leads to 'Relieving stress'. However, unlike local residents, it eventually leads to 'Self-reflection and healing' as the end. It is expected that the findings of this study not only recommend us to consider preserving and managing cultural heritages and value of ancient tombs in developing "Ancient Tomb Park in Gyoneg-ju City Center" but also provides baseline data for the establishment of reasonable plans of utilizing tombs, historical and cultural heritages.

• Journal of Korean Philosophical Society
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• v.115
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• pp.249-279
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• 2010

The Law of the Heart, which appears in the chapter "B. The Actualization of Rational Self-consciousness Through its own Activity" in Hegel's Phenomenology of Spirit represents that the self-certainty of the reason may be the another face of the Madness. The Reason's indubitable certainty is the testimony of the truth for Descartes, and it also plays a role as the moral maxim of the conscience for Kant. But this subjective certainty unavoidably leads to the Madness of self-conceit, which unifies the consciousness and the reality ignoring the difference between them. The typical attitude appearing in the reformer like Don Quixote and also romantic idealists reveals the fact that modern reason and the psychosis can be both faces of one and the same coin. The Mirror Stage, the Imaginary, and the Formula of the Desire in Lacan's Theory shows that the Image of completeness is the result of Mis-understanding. Even if the Mirror stage is necessary for the Formation of the subject, at the same time it should also lead to the next stage, i.e., the Symbolic Order. It is considered as the realm of the Otherness, which refers to the realm of language or that of law. If the Ego can't go through the symbolic castration acted on by the Name of the Father, he will be remained in the prison of the Imaginary. The Madness also shows the similar process. For Hegel the Discipline of the Labor or the Death as absolute Otherness that inevitably delays the Desire plays the same role as the name of Father. It may be the experience of Separation or that of Sublation of the individual towards the universal, which is equivalent to the experience of Symbolic castration in Lacan. Furthermore there may be the difference between Hegel and Lacan as the following; while in Hegel the experience of Separation is founded on the spontaneity of the Spirit, for Lacan it is to be compelled and structured by the absolute Other.