• Journal of Gifted/Talented Education
• /
• v.19 no.3
• /
• pp.411-432
• /
• 2009

This study analyzed the differences in parents' perceptions toward children's adjustments after grade skipping and early graduation. Parents of an early entrancer to K university(n=43) and parents of a non-early entrancer to K university(n=12) responded two kinds of questionnaires, one is for parents' perceptions towards children's needs for grade skipping and early graduation, and the other is for parents' perceptions toward children's adjustments to university experiences. Parents' responses were analyzed by MANOVA and MANCOVA. Results indicated that there was the significant difference in parents' perceptions for 'information about early graduation.' That is, parents of an early-entrancer had more 'information about early graduation' than their counterparts. However, there was no significant difference in parents' perceptions, after the effect of 'information about early graduation' on parents' perceptions toward children' academical and social-emotional adjustments. Thus, parents having more 'information about early graduation' considered more seriously the needs of grade skipping and early graduation in their children and worried less about their children's adjustments to university experiences.

• Korean Journal of Childcare and Education
• /
• v.10 no.2
• /
• pp.111-131
• /
• 2014

This study aims to research the use of smart devices of infants and preschool children, and their mothers' perception about it. Moreover, the goal of this study is to collect preliminary data about problems from the use of smart devices, and to prevent the problems. Therefore, the questions of inquiry for this study are: 1. How do infants and preschool children use smart devices? 2. How do mothers perceive their children using smart devices? Four hundred and forty mothers, who send their child to a day-care center or kindergarten in Busan, participated in this research and data among 397 of them were analyzed using PASW 18.0 program. The answers to a multiple-choice question were converted into a frequency and percentage. To verify the difference of factors, Chi-squared Test and One-way Analysis of Variance methods were used. The following are findings of this study: 1. Most of the families owning smart devices allow their children to use a smart device when children want it, and children use it for entertainment purpose before their bedtime. Children start to use a smart device mostly around the age of 4. Compared to girls, boys spend a longer time on smart devices playing mobile game. In addition, the research indicated that the children of younger mothers tend to use smart devices in earlier ages than the children of elder mothers. 2. Mothers of preschool children have higher perception about the availability of their child using smart devices compare to the mothers of day-care center. However, the research showed that elder mothers have more positive perceptions about all the other five lower factors, (e.g. educational characteristic, entertainment characteristic, design, safety, and smart recognition).

• Journal of Korea Game Society
• /
• v.9 no.3
• /
• pp.23-33
• /
• 2009

This study aims to uncover the gamers' cognitive process during the gameplay and explore the differences between groups in the gamers' playing behavior according to their expertise: experts, intermediate players, and novices. To this end, the empirical experiment was conducted in 'World of Warcraft' game which is a good representative of MMO(Massively Multi-player Online) game currently. Verbal protocol and action protocol collected from the empirical experiment were analyzed according to the gamers' expertise. As a result of this study, we found that the different behavior patterns result from standardizing pattern of their actions for experts and forming the learning curves and the specific patterns of action for intermediate game players and novices. While three functional-actions as a collection action concentrates on the early stage of the game for experts, the novices' behavior pattern dispersedly appeared in all seven functional-action, such as search, combat, three type collections, avoid, and communication in the whole gameplay. This study represents the consistency and the difference derived from the comparison analysis between groups according to the expertise. This study is concluded with key implications to support game design guidelines according to experts, intermediate players, and novices. Consequently, the result of this study provides the basic to the development of MMO content for game novices.

• International Commerce and Information Review
• /
• v.14 no.2
• /
• pp.249-269
• /
• 2012

The focus of our work is to identify and understand the drivers of alliance performance so that businesses can maximize their chances of a successful alliance-an area that has received little attention in empirical modeling. Although both conceptual and applied research on alliances has increased, an empirically tested comprehensive theoretical model that explains alliance performance has yet to be developed. Using five salient perspective, namely market power theory, transaction cost theory, the resource-based view, institutional theory, real option theory, this paper attempts to provide a theoretical rationale linking motives of global alliance networks on firm's capabilities, partner's capabilities, operating structures, and performances of Korean companies. The key contribution of this study is that it paints a picture of what matters in driving alliance performance. Our work shows the complex nature of driving performance and the interplay of firm's capabilities, partner's capabilities, and operating structures for understanding alliance performances. This study has given us a small but significant step forward towards understanding the intricacies of alliance performance. We are now better able to understand the respective roles played by various alliance factors and derive insights that lead to improved alliance performance.

• Journal of Korean Home Economics Education Association
• /
• v.21 no.4
• /
• pp.105-125
• /
• 2009

This study attempts to extract the necessary criteria as a secondary school home economics teacher through the factor analysis, and to analysis the teacher's and student's perceptions for the requirement criteria of home economics teacher(RCHET) thereof to confirm the necessary criteria as a secondary school home economics teachers. This research was based on the requirement criteria of home economics teacher developed by Korea Institute for Curriculum and Evaluation(KICE) Korean Home Economics Education Association(2008)(KHEEA) collected from secondary, upper secondary school home economics teachers and students in Jeollabuk-do. RCHET encompasses the six areas : (l)'Expert of lesson related to evaluation' (2)'Efficient manager of diverse materials for study', (3)'Student advisor equipped with a teaching sense of duty and sound humanity', (4)'Curriculum expert equipped with a expertise knowledge', (5)'A fair and democratic schoolroom environment promoter'. (6)'Career path counselling expert understanding student's characteristics and environments'. Through the factor analysis, six RCHET factors are more important to teachers than students. According to importance perception for RCHET, home economics teachers' qualification for minor second subject and participation of training program showed similar differences statistically in all RCHET factors. Thus, effort for expertise improvement of teacher had important influence on expertise improvement of teacher. As a result of examining the differences from importance evaluation for RCHET, similar differences from frequence of home project, preference of home economics teacher, manual training and home economics score, interest of home economics showed statistically.

• Journal of the Korea Convergence Society
• /
• v.11 no.3
• /
• pp.53-59
• /
• 2020

Initial response is important in marine oil spills, such as the Hebei Spirit oil spill, but it is very difficult to predict the movement of oil out of the ocean, where there are many variables. In order to solve this problem, the forecasting of oil spill has been carried out by expanding the particle prediction, which is an existing study that studies the movement of floats on the sea using the data of the float. In the ocean data format HDF5, the current and wind velocity data at a specific location were extracted using bilinear interpolation, and then the movement of numerous points was predicted by particles and the results were visualized using polygons and heat maps. In addition, we propose a spill oil particle matching algorithm to compensate for the lack of data and the difference between the spilled oil and movement. The spilled oil particle matching algorithm is an algorithm that tracks the movement of particles by granulating the appearance of surface oil spilled oil. The problem was segmented using principal component analysis and matched using genetic algorithm to the point where the variance of travel distance of effluent oil is minimized. As a result of verifying the effluent oil visualization data, it was confirmed that the particle matching algorithm using principal component analysis and genetic algorithm showed the best performance, and the mean data error was 3.2%.

• Journal of KIISE
• /
• v.43 no.1
• /
• pp.87-95
• /
• 2016

Recently, due to the development of the Internet and electronic devices, there has been an enormous increase in the amount of available knowledge and information. As this growth has proceeded, studies on large-scale ontological reasoning have been actively carried out. In general, a machine learning program or knowledge engineer measures and provides a degree of confidence for each triple in a large ontology. Yet, the collected ontology data contains specific uncertainty and reasoning such data can cause vagueness in reasoning results. In order to solve the uncertainty issue, we propose an RDFS reasoning approach that utilizes confidence values indicating degrees of uncertainty in the collected data. Unlike conventional reasoning approaches that have not taken into account data uncertainty, by using the in-memory based cluster computing framework Spark, our approach computes confidence values in the data inferred through RDFS-based reasoning by applying methods for uncertainty estimating. As a result, the computed confidence values represent the uncertainty in the inferred data. To evaluate our approach, ontology reasoning was carried out over the LUBM standard benchmark data set with addition arbitrary confidence values to ontology triples. Experimental results indicated that the proposed system is capable of running over the largest data set LUBM3000 in 1179 seconds inferring 350K triples.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.145-147
• /
• 2004

본 논문에서는 무선인터넷 환경에 적합한 개인화된 상품추천에이전트를 제안한다. 기존에 유선인터넷상의 많은 개인화 추천시스템에서는 초기 사용자 모델링을 위해 사용자에게 수많은 질의를 하고 응답을 요구하였다. 그러나 이러한 방식은 무선인터넷 환경에서 정보 전송량에 따른 높은 사용요금을 고려할 때 적용하기 힘든 방식이다. 본 제안 시스템은 사용자의 Social data률 이용하여 사용자를 비슷한 연령과 성별 그룹으로 나누고, 해당 그룹에서 구매율이 높은 상품을 우선 제시한 후, 사용자 행동을 모니터링 하여 암시적(Implicit)피드백을 통해 프로파일을 생성함으로써, 번거로운 질의-응답 과정 없이도 초기 사용자 모델링을 수행할 수 있다. 프로파일 생성 이후에는 이를 기반으로 하여 사용자몰 유사한 취향을 가진 그룹으로 다시 군집화한 후 협력적 추천을 하게 되며, 프로파일에는 해당 상품의 최종 카테고리명과 키워드를 수집함으로써, 상품의 브랜드와 규격정보를 반영한 추천이 가능하다. 또한 추천 상품과 사용자의 구매데이터와의 비교를 수행하여 사용자가 해당상품을 구매하였을 경우, 상품에 대한 취향정보는 그대로 유지하고 관련 상품을 추천하되, 구매한 상품이 중복 추천되지 않도록 하였다. 시스템 평가를 위해 프로토타입을 구현하여, 다수의 사용자에게 시스템을 이용하며 관심품목을 체크하도록 하였고. 추천횟수가 반복되며 히트율이 증가하는 결과를 통해 시스템의 학습속도와 성능을 평가하였다. 그리고 쇼핌몰에서 구매경험이 있는 사용자의 기존 구매데이터와 Social data를 이용한 초기 제시상품을 역으로 비교하여 오랜 시간과 비용 발생 없이도 초기 프로파일 생성의 유효성을 증명하였다. 포함하는 XML 질의에 대해서도 웹에서 캐쉬를 이용한 처리가 효율적임을 확인하였다.키는데 목적이 있다.RED에 비해 향상된 성능을 보여주었다.웍스 네트워크상의 다양한 디바이스들간의 네트워크 다양화와 분산화 기능을 얻을 수 있었고, 기존의 고가의 해외 솔루션인 Echelon사의 LonMaker 소프트웨어를 사용하지 않고도 국내의 순수 솔루션인 리눅스 기반의 LonWare 3.0 다중 바인딩 기능을 통해 저 비용으로 홈 네트워크 구성 관리 서버 시스템 개발에 대한 비용을 줄일 수 있다. 기대된다.e 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.10
• /
• pp.40-46
• /
• 2019

The purpose of this study is to investigate the effect of positive psychological capital on re-employment attitudes of youth in their 20s dealing with an unemployment rate of more than 10%. The effect of positive psychological capital on attitudes for re-employment was analyzed by domain, and is based on variables of positive psychological capital composed of self-efficacy, hope, resilience, and optimism. As a result, hope (3.64) was the highest on the scale; however, resilience (at 3.37) was the lowest. In the analysis of positive psychological capital, the university graduate group (3.89) was the highest. But, the high school graduate group (3.25) was the lowest. In the results for re-employment attitude based on education level, the university graduate group (4.93) was the highest, but the high school graduate group (3.80) was lowest. The main variables influencing re-employment attitude were (in order): hope, optimism, self-efficacy, and resilience. These factors have an explanatory power for the four variables of around 25%. Overall, young adults (in their 20s) have higher levels of positive psychological capital because they have a higher education level. Also, higher educated re-employed applicants have higher positive psychological capital and attitudes for re-employment, compared to the other groups.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.10
• /
• pp.406-414
• /
• 2019

The purpose of this study was to investigate how educational experience (teaching experience, experience participating in the Teacher Learning Community, curriculum training experience, and innovative experience working in school) of elementary school teachers affects the recognition and execution of curriculum and textbooks. For this purpose, the results of a questionnaire survey for elementary school teachers were analyzed by performing T-tests, One-Way ANOVA, correlation analysis, and regression analysis. The results were as follows. First, according to the teacher's educational experience, there were statistically significant differences in the recognition and execution of curriculum reorganization, and the recognition and dependence on textbooks. Second, there were statistically significant correlations among such variables as recognition and implementation of curriculum reorganization, and the recognition and dependence on textbooks. Third, the teacher's educational experience had a significant impact on curriculum reorganization and the dependence on textbooks. Curriculum restructuring in elementary schools is not an end in itself. What is also needed is to find and implement the best class plans for promoting the .meaningful growth and development of elementary school students. This study suggests that the dependence on textbooks should be lowered and the curriculum should be actively reorganized, and teachers should develop their expertise based on extensive educational experience.