• Journal of Korean Elementary Science Education
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• v.34 no.4
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• pp.394-405
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• 2015

The purpose of this study was to develop and apply a differentiated instruction-learning reflecting various characteristics and demands of the gifted underachievers, and thereby help to develop the study attitude and study achievement of the gifted underachievers. To achieve the purpose, a case study on five gifted underachievers who are in $6^{th}$ grade of elementary school was conducted. By collecting and analyzing a variety of data including standardized tests, interviews with teachers, students, and parents, and observation journals, this researcher examined the characteristics and demands of the gifted underachievers. For the development of the program, differentiated strategies were designed according to students' interest and concern, their multiple-intelligence, and their learning styles. As a result of the application of them, a program with a total of 20 sections was finally developed. The result of the application for the differentiated instruction-learning program revealed improvements in their academic achievements. In addition, it was found that their learning motives were improved. The program was also found to affect their self-concept and their attitude toward learning. The study showed that developing an education program for the gifted underachievers should begin from the analysis of each student's characteristics. Also, it was found that a differentiation strategy could become an alternative to apply various characteristics and demands of the gifted underachievers to the development of a program. The gifted underachievers' intellectual and definitive characteristics were changed even by the short-term mediation. Therefore, the new issue about educating the gifted is to provide a differentiated instruction-learning program fitting their characteristics and demands and help them exert their potential as best as they could.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.331-341
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• 2017

As increasing the importance of the R&D strategy planning based on S&T evidence, the S&T DB was conducted to develop appropriate basic research support strategies by collecting 49 multiple-nations' statistics and information, extracting 6446 raw data, categorizing 877 indicators including 208 core indicators. An statistical and knowledge map analysis using the highly cited publication-related indicators was conducted to examine the expansion of DB utilization by demonstrating effectiveness of Korea's basic research. As a result, basic research investment have a strong influence on creating outstanding R&D outcomes and on producing a foundation of various S&T based-growth engines.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.822-834
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• 2015

Contemporary fashion companies have been planning marketing strategies that can promote brands and products more effectively for satisfying consumers' increasingly diversified needs. For this reason, retail spaces have continued to evolve and the modern concept of pop-up stores appeared through this process. Therefore, the object of this study was to research domestic pop-up fashion store cases by collecting article data. These data are from Internet fashion-specialty sites and analyze the types and characteristics of pop-up fashion stores by providing basic information that will be useful in the pop-up fashion stores of companies when they establish their marketing strategies. This study utilized the content analysis method and derived the results by using SPSS Statistics. As a result of this study, the type of "pop-up fashion stores opening in distribution enterprises" comprised the highest percentage of the whole store types and the pop-up fashion stores' management purposes were focused on product introduction, promotion, and market testing. As time passed, not only did pop-up fashion stores' growth rate increased, but also the types of pop-up fashion stores have become more diverse. In other words, contemporary fashion companies are utilizing more pop-up fashion stores as a marketing strategy than before. However, due to the short history of domestic pop-up fashion stores, the variety of research is still insufficient, so more extensive research on pop-up fashion stores is required.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.205-222
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• 2009

Considering time-lag in the performance evaluation of information system (IS) investment is important because its effect reveals after certain period of time passed. Particularly it is more in the systems of e-government informatization projects which the amount of investment and the scale of business are huge. Many methods to solve this issue have been proposed such as system dynamics methods, simulations, structural equations etc. However, it is still difficult and unsolved problem because collecting practical data for time-lag analysis is very hard. In this paper, we analyze IS time-lag effect through factor analysis using the accumulated practical operational DB data. For the performance evaluation of the G4C system, the representative e-government web portal, we selected eleven factors reflecting time passing in G4C DB data. With these factors this paper conduct time-lag analysis in four view points. First, we conducted 'Stabilizing of G4C system' and got a result that IS is needed about three years for the stabilization. Second, we conducted 'Utilization of G4C system' and got a result that the utilization reaches appropriate level after in three years later after the introduction of G4C system. Third, we conducted 'Cost reduction effect' and got a result that cost reduction is stable in the third year after the introduction of G4C system. Lastly, we conducted 'System maturity effect' and got a result that the system reaches to the quality level that users expect after third to fourth years. According to the results of this research, we found that performance of IS improv continuously not immediately, and it needs three or four years of time-lag.

• Korean Educational Research Journal
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• v.38 no.2
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• pp.81-108
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• 2017

The purpose of this study is to develop a standardized learning model for a free-learning semester, and to provide a practical framework of its curriculum. This paper is a state-funded study to design an instructional model for the free-learning semester. Instructional models that have been implemented in the practical school were constructed through collecting opinions from school teachers. The instructional model for a free-learning semester in this current study is a modification of the existing learning model into the Learning (Meaningful reception learning)-Practice-Production stage. These are designed to reflect the UNESCO proposals that emphasize knowledge, skills, and character, respectively. It is not easy to construct the instructional model for the free-learning semester activities. A three-step strategy that encompasses the UNESCO proposals will be a useful framework for teachers to systematically design and implement free-learning semester teaching.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2232-2240
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• 2015

Recently in the field of Big Data, there is a trend of collecting and reprocessing the existing data such as products having high interest of customers and past purchase details to be utilized for the analysis of transaction propensity of users(product recommendations, sales forecasts, etc). Studies related to the propensity of previous users has limitations on its range of subjects and investigation timing and difficult to make predictions on detailed products with lack of real-time thus there exists difficult disadvantages of introducing appropriate and quick sales strategy against the trend. This paper utilizes the machine learning algorithm application to analyze the transaction propensity of users. As a result of applying the machine learning algorithm, it has demonstrated that various indicators which can be deduced by detailed product were able to be extracted.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.263-272
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• 2013

This study was conducted to look into consulting areas that can secure loyalty customers by clarifying relations between perceived quality factors, brand image and customer loyalty in terms of a multi-function printer. To accomplish the study purpose, this study carried out a validation analysis, a reliability analysis and a structural equation model analysis by setting up a study model and a hypothesis based on precedent studies and collecting data from purchase decision-makers. The findings of the study are summarized as follows. First, effects of perceived quality components of a multi-function printer on brand image were product quality, sales man's service and service quality in order of majority. Second, brand image of a multi-function printer has a positive impact on customer loyalty. This study is meaningful as it expanded the scope of study related to a multi-function printer up to the administrative field. This study is expected to help industries, who have similar business structure of a multi-function printer, establish a business strategy and support practical work and administrative consulting.

• Magazine of the Korean Society of Agricultural Engineers
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• v.38 no.6
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• pp.51-63
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• 1996

This study is about the problems found in the process of the current governments planning rural settlement area development. As a measure to solve them, It proposed the analysis method of village characteristic in terms of standard score and tried to use this method as a basic material in planning more effective rural settlement area development. On the basis of the above analysis, which is an objective basic material to solve the problems revealed in the process of the bottom-up development planning by the residents' demands, It shows the following conclusion about what method should be applied to each part according to a village's characteristics and its development level. 1. Accessibility can be a basic material for setting the local area, analyzing its settlement system, and them such development facilities as village-linking roads, rural road, or various kinds of bridges and determining the investment priority. 2. With the index of the industrial basis, we can see what village has plenty of social, economical resources including advanced industrial facilities and looking into the advance level of the industrial basis, we can get some information about determining the local area development direction such as estashing the plan to build a farm product gathering center, a collective work place, storage facilities, and special housing development. 3. Since the issue about living environment is raising it's head, compared to weakened agricultural competitive power, with the analysis of this living environment, we can get an objective basic material for solving problems caused by the local egoism and the effective investment strategy of the limited resources. Therefore, It is necessary that we should abstain from expert-centered planning and formal public opinion-collecting and on the basis of this analytic result, we should plan development. We need to continue our research about index selecting and differentiation, weight etc. and using these analysis methods, we should make up a systematic development plan by analyzing village characteristics and setting the development direction.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.470-476
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• 2015

Big data has been used in diverse areas. For example, in computer science and sociology, there is a difference in their issues to approach big data, but they have same usage to analyze big data and imply the analysis result. So the meaningful analysis and implication of big data are needed in most areas. Statistics and machine learning provide various methods for big data analysis. In this paper, we study a process for big data analysis, and propose an efficient methodology of entire process from collecting big data to implying the result of big data analysis. In addition, patent documents have the characteristics of big data, we propose an approach to apply big data analysis to patent data, and imply the result of patent big data to build R&D strategy. To illustrate how to use our proposed methodology for real problem, we perform a case study using applied and registered patent documents retrieved from the patent databases in the world.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.185-199
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• 2020

This study examined the effects of insurance company's CSR activities on customer-based brand assets and customers' intention to pay premium prices in order to identify the possibility of CSR activities as an insurance company's differentiated marketing strategies. Throughout collecting 510 surveys, this study has proved that economic and charitable activities had a effect on customer-based brand assets, also economic and environmental activities had a effect on intention to pay premium prices. In addition, the mediating role of the customer-based brand asset between economic and charitable activities and intention to pay premiums was proved. Lastly, it was confirmed that the level of SNS usage moderates the relationship between economic activities and customer-based brand assets. Based on the results, this study provides insurance companies with an effective marketing strategy of the CSR program.