• Korean Journal of Child Studies
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• v.23 no.3
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• pp.139-148
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• 2002

This study examined differences in children's social competence by number, birth order, and sibling relation types. The subjects were 489 three- to five-year old boys and girls enrolled in 4 kindergartens in Seoul and Gyeonggi Province. Instruments were the California Preschool Social Competency Scale and a questionnaire for the home environmental variables. Data were analyzed by ANCOVA, Tukey test and Cronbach ${\alpha}$. The major findings were that siblings' social competence was higher than only children, first-born children's social competence was higher than the later born, and older brother's social competence was higher than younger brothers and sisters.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.106-117
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• 2007

The purpose of this study was to evaluate the environmental education of public servants in National Institute of Environmental Human Resource Development(NIERD). Based on CIPP model, Evaluation areas and items were made. The data were collected through interviews, questionnaires and training and development team's internal information from November, 2005 to January, 2006. Based on the interviews and survey of 11 employee from training and development team, context factors, input factors, process factors, product factors were evaluated. The major findings of this study were as follows: First, the problem of the environmental education of environmental officials indicated lack of interest about education of Ministry of Environment, lack of education expense, lack of expertise of employee in training and development team, and so on. Second, the curriculum for environmental officials was not considered the environmental officials' readiness for education, developmental level and competency. Suggestions for future research were offered.

• Journal of the Korean Society of Safety
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• v.26 no.1
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• pp.65-70
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• 2011

Resilience has been suggested as a new paradigm of disaster management which reduces losses against disasters under the uncertain circumstances. The purpose of this study is to define the concept and to set up the objectives of urban resilience for disaster management. The common concept and components of resilience were analyzed by examining recent studies on resilience. The resilience was defined as "a capacity of physical and social urban elements adapting and recovering against disaster for better condition" and the five objectives of resilience - Robustness, Redundancy, Resourcefulness, Rapidity, and Regional Competency - were derived from the review of literatures. The major disasters and accidents were analyzed focused on those objectives. The concept and objectives of urban resilience could be used as a guidance for disaster prevention planning and disaster management processes.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.749-758
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• 2007

Learning has become an important aspect for any organization to stay relevant and competitive in the corporate world of survival. In construction industry, the international construction joint ventures (ICJVs) provide an excellent platform with opportunity of learning among partners seeking to develop new area of competency and improve their overall competitiveness for their next project endeavor. This paper discusses the development of a conceptual model of effective learning in ICJVs using four major stages of development in a typical joint venture (JV) 's process. The study identified that there are three key constructs that contribute to effective learning comprising learning conditions in the JV's pre-inception stage, success factors of JV for learning in the forming & organizing stage, and learning actions in the implementation & adjustment stage. The effective learning outcomes are measured by the characteristics of learning organization during the JV's completion & evaluation stage. Details and issues of each stage and the methodology of research will be presented and discussed.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.4 no.1
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• pp.14-50
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• 2010

This study focused on the competitiveness analysis of industrial cluster using econometric method and competency analysis method to measure the situation of Seocho-gu industrial cluster and Yangjae R&D cluster at Seoul. The econometric method used the data such as the number of firms, the number of employee, GRDP. The competency analysis method measured the level of agglomeration of cluster for years through LQ(Location quotient) index. In addition, the characteristics and structure of each industry in Secho-gu and Yangjae-dong R&D cluster. The circumstance of location and business, the competency of potential ability of industries were analysed by SWOT. In sum, this study has the following conclusion. First, Seocho-gu and Yangjae-dong region has an advantage in the circumstance for R&D related industry and man power. Second, Seocho-gu and Yangjae-dong region has a good potential for development in R&D related industries. These region has a good relationship the four major R&D related industry of Seoul. Third, these region also has a advantage in the potential development of R&D related researchers in the corresponding industries.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.364-378
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• 2008

Data Envelopment Analysis(DEA) models can be used for performance evaluation on governmental funding projects for IT small and medium-sized enterprises associated with multiple-outputs/multiple-inputs. In order to enhance the accuracy of DEA efficiency scores, DEA models with exogenously fixed variables are required where the corporate competency is taken into account. Additionally, it is necessary to use multiple DEA basic as well as extended models so as to relax the restriction on the performance evaluation to relying on a single DEA model. In this study; 1)a DEA data structure is designed including exogenously fixed variables representing corporate asset, revenue and the number of employees at the point in time that the governmental funding project concerned is initiated; 2)DEA basic as well as extended models are established according to the DEA data structure presented abovementioned; and 3)a case study is illustrated with an empirical testbed dataset. As for the DEA basic models, CCR, BCC, Super-efficiency model are adopted. The DEA extended models are developed based on the models associated with noncontrollable and nondiscretionary variables. In the case study, it is explained a comparison of DEA models and also major numerical outcomes such as efficiency scores, ranks derived from each DEA model are integrated using Analytic Hierarchy Process(AHP) weights. Performance significance with DEA efficiency scores between technical categories are tested based not only on parametric but also nonparametric single-factor analysis of variance method.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.65-73
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• 2021

This study investigated differences in learning styles and learning strategies according to learning factors: major fields, achievements, and grades and differences in learning strategies according to learning styles for college students. Unlike previous studies that analyzed differences focused on the dominant learning style, the learning style was subdivided into a balanced and dominant learning style. In the analysis of the 179 participants in M colleges, it was found that the difference between the learning style and the learning strategy according to the learning factors was not significant. But, there was a significant difference in the use of cognitive strategies according to the learning style in the dimension of information input, and in the use of all strategies according to the information processing style. It was analyzed that active learners had a high level of using cognitive strategies, visual learners had a high level of using external strategies, and balanced learners had a high level of using internal strategies. Based on the results, the training strategies to understand the learning style and to improve the level of use of the learning strategy in the learning competency improvement program was proposed.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.447-454
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• 2022

The purpose of this study was to strengthen the practicality of preliminary teachers in preparation for future education, to respond to structural changes in the teacher training system due to a decrease in the school-age population, and to seek a future-oriented direction for the curriculum of teacher training institutions. To this end, we analyzed the competency diagnosis items of the teacher training institutes in the 5th cycle from 2019 to 2020, and based on the proposal for the development plan for the teacher training system announced by the Ministry of Education in July 2021 and the contents of the 4 discussions, content was presented. The results were as follows. First, to nurture creative and convergence-type talents, teacher training institutions need to develop multi-curricular competency and reorganize the curriculum into a future-oriented curriculum. Second, in order to foster the competence of teachers and preliminary teachers in teacher training institutions, it is essential to strengthen the competence of teachers through the introduction of the metaverse, general teaching methods, and ICT-using teaching methods. Third, teachers' training institutions will introduce and strengthen the 'education practice teacher homeroom system' to strengthen school field-oriented practical competencies, 'dedicated mentor-mentee' centered on seniors and juniors, 'monitoring system' led by university professors, and 'probationary teacher system'

• Journal of The Korean Association For Science Education
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• v.42 no.6
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• pp.611-619
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• 2022

The purpose of this study is to explore the possibility of applying big data analysis to provide appropriate feedback to students using evaluation data in science education at a time when interest in educational data mining has recently increased in education. In this study, we use the evaluation data of 2,576 students who took 24 questions of the national assessment of educational achievement. And we use K-means cluster analysis as a method of unsupervised machine learning for clustering. As a result of clustering, students were divided into six clusters. The middle-ranking students are divided into various clusters when compared to upper or lower ranks. According to the results of the cluster analysis, the most important factor influencing clusterization is academic achievement, and each cluster shows different characteristics in terms of content domains, subject competencies, and affective characteristics. Learning motivation is important among the affective domains in the lower-ranking achievement cluster, and scientific inquiry and problem-solving competency, as well as scientific communication competency have a major influence in terms of subject competencies. In the content domain, achievement of motion and energy and matter are important factors to distinguish the characteristics of the cluster. As a result, we can provide students with customized feedback for learning based on the characteristics of each cluster. We discuss implications of these results for science education, such as the possibility of using this study results, balanced learning by content domains, enhancement of subject competency, and improvement of scientific attitude.

• 한국노년학
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• v.30 no.3
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• pp.947-971
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• 2010

The present research is aimed at to examine the relationships between wisdom and age, also between wisdom and its psychological adaptation among middle and elder adults in Korea. Moreover, using data on 240 middle-aged and elder adults, the relationship between different aspects of wisdom and aging well were not only examined, but also explored age differences of wisdom through adulthood. The major findings from the study are summarized as follows. first, the wisdom scores of middle-aged and elder adults were significantly higher than those of young adults. While 'cognitive competency' and 'positive life attitude' factors had no significant differences. It means that 'cognitive competency' and 'positive life attitude' wisdom could be stable across adulthood. However, 'moderation and balance' and 'sympathetic interpersonal relationship' wisdom of elders were significantly higher than those of young adults. second, in middle and elder adults, Wisdom was found to be positively related with life satisfaction, well-being, death acceptance, experiences of positive emotion, generativity, ego integration, and positive life review. while on the other hand, contrast wisdom to be negatively related with depression, fear of death, perceived stress and experiences of negative emotion. The results from the study were examined by ecological validity of wisdom. Accordingly, a number of limitations and implications of the research were acknowledged.