• Journal of vocational education research
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• v.29 no.3
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• pp.265-289
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• 2010

This study aims to identify effects of outplacement support program for discharged soldier to settle and adapt successfully in Ministry of Patriots and Veterans Affairs. The subject of this study are 323 discharged soldiers who completed the outplacement support program. A survey questionnaire is conducted to measure variables of this study. All data analysis is accomplished using the AMOS 7.0 version. The results of this study are as follows. First, learning motivation has direct effect on learning flow and program satisfaction positively. Second, organizational support has direct effect on program satisfaction, psychological stability positively and on learning flow negatively. Third, outplacement support program has direct effect on learning flow, program satisfaction, job-seeking efficacy and psychological stability positively. Fourth, learning flow has direct effect on program satisfaction positively but don't have direct effect on job-seeking efficacy and psychological stability significantly. Fifth, learning motivation, outplacement support program has direct effect on job-seeking efficacy and psychological stability with partial mediation effect of program satisfaction while without mediation effect of learning flow. Based on the results of the study, the following recommendations have been made. First, it is necessary to design the outplacement support program with contents in relation to discharged soldiers' successful settlement because discharged soldiers who completed the outplacement support program showed higher job-seeking efficacy and psychological stability. Second, it is needed to conduct a longitudinal study considering other variables such as employment, establishment success etc.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.161-168
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• 2017

In this paper, we propose a Software Education Program for the Education Welfare Priority Support students. Elementary school students of education welfare priority support programs has low school satisfaction level and course maturity. Also, they have various problem such as relatively large digital divide when compared to general student. To solve such problem, we designed, developed, and applied a software education program on education welfare priority support program's elementary school students to analyze its effect on their learning motivation, self-efficacy, and goal orientation. Software education program followed the main stages of ADDIE model and was designed into experience Sharing, Requirements analysis, Sharing, Grouping, and Organizing. 20 of 6th graders in education welfare priority support programs were chosen as subject for software education program. The effectiveness has been analyzed through pre, and pro test. As a result of the analysis, we found that the developed software education program has meaningful effect on Learning Motivation, Self-efficacy, and Goal Orientation of education welfare priority support program's elementary students.

• The Journal of Economics, Marketing and Management
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• v.8 no.1
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• pp.36-49
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• 2020

Purpose - This study investigates factors that affected the utilization of trade support policies and further analyzed how the utilization of trade support policies affected export performance. Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study examines the determinants of the utilization level of trade support system such as export market orientation, learning orientation, network capability and environmental uncertainty by regression analysis. Results - Export market orientation have a positive effect on the utilization of the trade support system and there is positive relationship between learning orientation and the utilization of trade support system. And network capabilities have had a positive impact on the utilization of the trade support system but there is no relationship between environmental uncertainty and the utilization of trade support system. The utilization of the trade support system had a positive effect on export performance. Conclusions - The internal and external factors of the organization have affected small and medium-sized export firms use of trade support systems. The utilization of trade support system can enhance positive export performance by providing valuable information and resource to external knowledge and also to complementary resources from the external partners.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.341-353
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• 2010

The purpose of the present study is to verify the structural relationship among on-line task value, university support, satisfaction, learning persistence in Cyber University. For this study, W cyber university in Korea was chosen to conduct web survey. A hypothetical model was proposed, which was composed of on-line task value, university support as exogenous variables, satisfaction, learning persistence as endogenous variables. And satisfaction have been suggested as intervening endogenous variables. The result of this study is as follows: First, on-line task value and university support affect satisfaction. Second, university support and satisfaction affect learning persistence. Lastly, satisfaction mediated on-line task value, university support and learning persistence.

• Journal of the Korean Institute of Educational Facilities
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• v.19 no.4
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• pp.11-19
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• 2012

The purpose of this study is to gauge the level of awareness of elementary, middle school, and highschool teachers regarding teaching-learning activities, learning space, and support for technology-based instruction in current and future school education, thereby providing essential data for seeking future improvements in the learning environment. Towards this end, a survey questionnaire (sectionalized into teaching-learning activities, learning space, and support for technology-based instruction) was developed. Subsequently the survey was administered to a random sampling of elementary, middle school, and highschool teachers in the Kyonggi, Kangwon, and Chonra Provinces. An in-depth analysis was conducted on the 797 questionnaire responses thus attained, focusing on the teachers' level of awareness regarding teaching-learning activities, learning space, and support for technology-based instruction, the correlation of the findings of the three areas in question, and the differences of the findings according to the circumstances of those surveyed. Based on the results, the authors of this study propose the following: First, that school administrators take into account the level of awareness of frontline teachers regarding teaching-learning activities, learning space, support for technology-based instruction. Second, efforts should be made to establish a safe and secure learning environment conducive to the synergic interplay of the three areas in question, by realizing true ICT in the classroom. Third, teachers in the classroom must endeavor to achieve a meaningful synthesis between educational programs and teaching-learning activities, as well as to serve as harbingers of improvements in the way we conduct the business of education.

• 전자공학회논문지 IE
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• v.49 no.1
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• pp.30-38
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• 2012

The participants were 102 students with digital broadcasting and media major.. A hypothetical model proposed included learning flow, school support as predictors, and satisfaction and learning persistence as a criterion. The results of this study through multiple regression analysis indicated that learning flow and school flow predicted significantly on satisfaction. And school flow, school support, and satisfaction predicted significantly on learning persistence. In addition, satisfaction mediated between learning flow and learning persistence, and between school flow and learning persistence. A constructive foundation for providing learning strategies in the successful engineering education would be proposed on the basis of the current results of this study.

• Smart Media Journal
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• v.12 no.1
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• pp.24-31
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• 2023

Meta-learning is metacognition that instantly distinguishes between knowing and unknown. It is a learning method that adapts and solves new problems by self-learning with a small amount of data.A few-shot learning method is a type of meta-learning method that accurately predicts query data even with a very small support set. In this study, we propose a method to solve the limitations of the prototype created with the mean-point vector of each class. For this purpose, we use the few-shot learning method that created the prototype used in the few-shot learning method as the median prototype. For quantitative evaluation, a handwriting recognition dataset and mini-Imagenet dataset were used and compared with the existing method. Through the experimental results, it was confirmed that the performance was improved compared to the existing method.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.71-82
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• 2004

The purpose of the study was to suggest policy implications to support K-12 education, especially weak areas, through e-Learning, With the literature review and discussions among experts in the field of K-12 education, we identified three areas - support for neglected students, preference-based curriculum, and gifted education - as the ones e-Learning may contribute much, and discussed current situations and problems for the each area followed by policy implications accordingly. In addition, we suggest strategic bases for the policy implications, which were reform of the law and polices, contents sharing, and quality control of e-Learning.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.422-432
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• 2019

A hybrid kernel function of support vector machine is proposed to improve the classification performance of power quality disturbances. The kernel function mathematical model of support vector machine directly affects the classification performance. Different types of kernel functions have different generalization ability and learning ability. The single kernel function cannot have better ability both in learning and generalization. To overcome this problem, we propose a hybrid kernel function that is composed of two single kernel functions to improve both the ability in generation and learning. In simulations, we respectively used the single and multiple power quality disturbances to test classification performance of support vector machine algorithm with the proposed hybrid kernel function. Compared with other support vector machine algorithms, the improved support vector machine algorithm has better performance for the classification of power quality signals with single and multiple disturbances.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.129-140
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• 2009

The accurate estimation of software reliability is important to a successful development in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and machine learning method have been used. However, this paper estimates the software reliability using support vector regression, a sort of machine learning technique. Also, it finds the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR model outperforms some recent results reported in the literature.