• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.307-313
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• 2022

In Korea, youth participation in economic activities and unemployment appear at the same time, which is a more serious problem, so a study on the labor market movement can be viewed as a study to overcome youth unemployment. The purpose of this study is to examine how labor movement between the employed and the unemployed is progressing through the survey data of the youth panel among the employment panel and to identify the factors affecting the movement path and movement of the employed and the unemployed. In the case of the employed, they possessed professional qualifications, and in the case of unstable occupational status, they attempted to move to a stable position after being employed. In the case of the unemployed, the probability of failing to find a job was higher as they had no job search experience, the longer the job search period, and the less effort they made. The fact that the home environment directly or indirectly influences the movement of the labor market remains unchanged. On the other hand, the higher the educational level, the more stable, and the most stable the metropolitan area. Therefore, more urgently than ever, a plan to revitalize the local labor market through the organic relationship between the government, local governments, local industry, and local universities and balanced regional development should be sought.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.153-162
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• 2022

Relevance. Innovative activities in education should be aimed at ensuring the comprehensive development of the individual and professional development of students. The main idea of modular technology is that the student should learn by himself, and the teacher manages his learning activities. The advantage of modular technology is the ability of the teacher to design the study of the material in the most interesting and accessible forms for this part of the study group and at the same time achieve the best learning results. Innovative Moodle technology. it is gaining popularity every day, significantly expanding the space of teaching and learning, allowing students to study inter-faculty university programs in depth. The purpose of this study is to assess the quality of implementation of the e-learning system Moodle. The study was conducted at the South Ukrainian National Pedagogical University named after K. D. Ushinsky in order to identify barriers to the effective implementation of innovative distance learning technologies Moodle and introduce a new model that will have a positive impact on the development of e-learning. Methodology. The paper used a combination of theoretical and empirical research methods. These include: scientific analysis of sources on this issue, which allowed us to formulate the initial provisions of the study; analysis of the results of students 'educational activities; pedagogical experiment; questionnaires; monitoring of students' activities in practical classes. Results. This article evaluates the implementation of the principles of distance learning in the process of teaching and learning at the University in terms of quality. The experiment involved 1,250 students studying at the South Ukrainian National Pedagogical University named after K. D. Ushinsky. The survey helped to identify the main barriers to the effective implementation of modern distance learning technologies in the educational process of the University: the lack of readiness of teachers and parents, the lack of necessary skills in applying computer systems of online learning, the inability to interact with the teaching staff and teachers, the lack of a sufficient number of academic consultants online. In addition, internal problems are investigated: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure, and lack of innovative physical capabilities. The article allows us to solve these problems by gradually implementing a distance learning model that is suitable for any university, regardless of its specialization. The Moodle-based e-learning system proposed in this paper was designed to eliminate the identified barriers. Models for implementing distance learning in the learning process were built according to the CAPDM methodology, which helps universities and other educational service providers develop and manage world-class online distance learning programs. Prospects for further research focus on evaluating students' knowledge and abilities over the next six months after the introduction of the proposed Moodle-based program.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.18-30
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• 2023

Purpose: This study is to contribute to the development of monitoring technology through the increase of confidence in construction monitoring by deriving the analysis of construction monitoring cost and improvement measures of railway tunnel construction in Seoul. Method: It presents the status on design and contract of construction monitoring cost, status on application construction monitoring cost and its analysis, analysis on safety management cost and quality management cost, expansion of application of the price calculation standard for monitoring management services to improve this, and monitoring for direct order of ordering organization. Results: If the monitoring management service that was meanwhile ordered as included in the construction work is performed by the directly selected company of ordering organization through the preliminary screening for bidding qualification, then the improvement of monitoring quality and the accurate monitoring data can be secured. Conclusion: For the price calculation standard for monitoring management service, the application of actual cost addition method under the Engineering Promotion Act and the calculation standard of monitoring management cost for standard estimation for ground survey should be extended through the direct order of ordering organization, not the method to be included in the net construction cost where it is performed by a subcontractor via contractor.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.43-52
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• 2023

This study was conducted to examine the relationship of the COVID-19-related anxiety, self-efficacy, resilience, and professional competence of nurses working in hospitals where COVID-19 patients are hospitalized. Additionally, this study attempted to identify factors that affect the professional competence of nurses. Using a cross-sectional descriptive study design, an online survey of 120 nurses working at hospitals where COVID-19 patients were hospitalized was conducted between February 9 and February 19, 2021. Pearson's correlations were used to assess correlations between the main variables, and stepwise multiple regression was used to identify factors influencing professional competence. Results of the study showed that the professional competence of nurses was positively correlated with self-efficacy (r=.58, p<.001) and resilience (r=.56, p<.001). The correlation between professional competence and COVID-related anxiety was not significant (r=-.03, p=.766). Factors affecting professional competence included self-efficacy (β=.36, p=.004) and resilience (β=28, p=.021). The model explained approximately 35% of the variance in nurse professional competence (F=33.65, p<.001). To fully demonstrate the professional competence of nurses during the COVID-19 pandemic, institution-based programs should be developed and applied to improve their self-efficacy and resilience. In order to prevent the burnout of nurses in the longer-than-expected COVID-19 pandemic, efforts and policies at the nursing organization level are needed to systematically manage and monitor self-efficacy and resilience of nurses.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.374-384
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• 2023

Universities that previously targeted in 20s have recently diversified their operation methods, founding purposes, and target. With a significant decrease in the school-age population relative to the number of universities, universities are making their best efforts to secure new students and minimize student attrition. In this study, an online survey was conducted to empirically examine the effects of motivation for major selection and sense of belonging on learning persistence intention among students in beauty-related departments at 2-year and 4-year general universities and cyber universities. The collected data from 119 students at general universities and 113 students at cyber universities were analyzed using SPSS 28. The key findings can be summarized as follows: For general universities, motivation for major selection did not have a significant effect on learning persistence intention, but sense of belonging had a significant positive effect. Additionally, an interaction effect was observed, indicating that as the sense of belonging increased, extrinsic motivation significantly increased learning persistence intention. For cyber universities, intrinsic motivation and sense of belonging among motivations for major selection had a significant positive effect on learning persistence intention, while the moderating effect of sense of belonging in the relationship between motivation for major selection and learning persistence intention was not significant. In summary, for general universities, the factor that influenced students' learning persistence intention was a sense of belonging to the university, while for cyber universities, intrinsic motivation played a significant role. These findings are expected to provide meaningful insights and data for universities to develop effective policies for preventing student attrition.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.115-126
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• 2023

Purpose : This study sought to determine the influence of nursing students' self-leadership, empathic ability, and depression on their interpersonal skills. Methods : This study applied a descriptive survey research design involving a self-report questionnaire. The participants were 315 nursing students in B city. Data were collected from April 27 to May 6, 2022. The data were analyzed using the percentage, mean, standard deviation, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and multiple regression with IBM SPSS/WIN 23.0 program. Results : The participants' self-leadership score was 3.63±.65, their empathic ability score was 3.35±.40, their depression score was .84±.50, and their interpersonal skills score was 3.64±.80. Among the sub-categories, others' temperament scored the highest at 3.70±.86, followed by communication at 3.67±.86 and promoting relationships at 3.53±.86. Interpersonal skills were positively correlated with both self-leadership (r=.48, p<.001) and empathic ability (r=.33, p<.001). Self-leadership was positively correlated with empathic ability (r=.17, p<.05), but, negatively correlated with depression (r=.27, p<.001). The multiple regression analysis revealed, that the factors with the most significant effect on promoting relationships were, in descending order, self-leadership (β=.49, p<.001), empathic ability (β=.19, p<.001), and gender (β=.10, p=.033); the factors affecting others' temperament were, in descending order, self-leadership (β=.37, p<.001), empathic ability (β=.30, p<.001), severe depression (β=.14, p=.008), gender (β=.13, p=.010), and grade (β=-.13, p=.037); while the factors affecting communication were, in descending order, self-leadership (β=.41, p<.001), empathic ability (β=.23, p<.001), and gender (β=.11, p=.035). Moreover, the explanatory power of promoting relationships scored the highest at 31 %, followed by others' temperament at 27 % and communication at 26 %. Conclusion : The results of this study reveal the factors that influence the interpersonal skills of nursing students. To increase the interpersonal skills of nursing students, it is necessary to develop and apply regular curricula and programs designed to strengthen their self-leadership and empathic ability and to reduce their depression through reflecting differences between genders and grades.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.123-135
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• 2023

In liberal SW education, nurturing student with creative problem-solving ability based on SW is considered important. The purpose of this study is to design SW education and to investigate the effects on students' computational thinking and creative problem solving abilities. This study designed classes in accordance with convergent project and the CT-CPS model and 38 undergraduate students have participated this study. The questionnaire survey was given to students and analyzed the effectiveness of class. The results of this study were as follows: Fitst, SW education significantly improved computational thinking and creative problem solving ability. Second, computational thinking improve significantly in high and low initial score group and creative problem solving improve significantly in low initial score group. However, creative problem solving ability did not improve significantly in high initial score group. Third, computational thinking improve significantly in all majors and creative problem solving improve significantly in college of natural science. However, creative problem solving ability did not improve significantly in college of humanities and social science. In examining the effects on students' computational thinking and creative problem-solving abilities and verify differences by pre-test and major, this study provides significance in expanding the understanding about the nature liberal SW education.

• Journal of Korean Clinical Nursing Research
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• v.16 no.2
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• pp.95-105
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• 2010

Purpose: The purpose of this study was to identify the research trend of 341 studies published in Journal of Korean Clinical Nursing Research from 1995 to 2008. Methods: This study was conducted from May to November, 2009. The tool for analysis developed through literature reviews and discussions of researchers consisted of 7 categories such as characteristics of researchers, research designs, subjects, data collection methods, ethical consideration, nursing interventions, and dependent variables. Data were analyzed by frequency and percentage. Results: The mean number of author per study was 4.7, and clinical nurses were the most frequent as the first author (79.7%) and as a corresponding author (67.1%). Quantitative study was 97.6% and nonexperimental study was 51.7%. The most frequently used research designs were quasi-experimental study (73.9%) among experimental studies and survey study (79.1%) among nonexperimental studies. Patients were the most frequent subjects for studies (55.8%). 46.1% of studies gathered data with questionnaire, 57.7% of studies had consent from patients, and 44.3% of studies used nursing skills for nursing interventions, and 60.0% of studies used clinical end points for dependent variables. Conclusion: The research trend of clinical nursing studies shows that clinical nurses mostly perform quasi-experimental researches to solve patients' problem and frequently use nursing skills for nursing intervention and explore the effect of nursing interventions on clinical end points.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.192-207
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• 2023

Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

• Journal of the Korean Geotechnical Society
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• v.26 no.7
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• pp.147-159
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• 2010

The settlement prediction is very important in preloading method for a construction site on the soft ground. At the design stage, however, it is hard to predict the settlement exactly due to limitations of the site survey. Most of the settlement prediction is performed by a regression settlement curve based on the field data during construction. In Korea, hyperbolic method has been most commonly used to align the settlement curve with the field data, because of its simplicity and many application cases. The results from hyperbolic method, however, may differ by data selections or data fitting methods. In this study, the analyses using hyperbolic method were performed about the field data of $\bigcirc\bigcirc$ site in Pusan. Two data fitting methods, using an axis transformation or an alternative method which is a direct regression method, were applied with various data groups. If data was used only after the ground water level being stabilized, fitting results using both methods were in good agreement with the measured data. Regardless of the information about the ground water level, the alternative method gives better results with the field data than the method using an axis transformation.