• Proceedings of the Korean Society for the Gifted Conference
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• 2003.05a
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• pp.161-166
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• 2003

우리나라 영재교육에 대한 연구들은 대부분 영재아의 개념정의와 판별도구 개발, 영재발굴, 선발 및 그들의 교육에 편중되어 있는 반면 영재아들의 적응, 자기지각, 또래관계등 사회정서발달에 관련된 연구는 거의 이루어지지 못하고 있다 이에 본 연구는 과학영재아동의 개인 및 일상생활에서의 적응수준 및 성별에 따른 적응, 자기지각 및 사회적지지의 차이를 파악하며, 그들의 스트레스에 영향을 미치는 자기지각 및 사회적 지지 수준을 살펴보고 영재아의 사회적 성취나 적응에 도움을 줄 수 있는 방안을 모색하고자 한다. 본 연구의 연구문제는 다음과 같다. 첫째, 과학영재아동과 일반아동의 적응(개인적응, 사회적응, 부적응), 자기지각 및 사회적 지지는 차이가 있는가\ulcorner, 둘째, 과학영재아동의 적응, 자기지각 및 사회적 지지는 성별에 따라 차이가 있는가\ulcorner, 셋째, 과학영재아동의 스트레스에 영향을 미치는 자기지각, 사회적 지지 수준은 어떠한가\ulcorner 본 연구의 대상은 전라북도에 위치한 중학교 1학년 100명의 아동이며, 이들은 교사추천 및 전북대학교 과학영재연구소의 과학과 수학시험을 통해 선발된 과학 영재아동이다. 설문결과 불성실한 응답자를 제외한 총 39명(남아 59명, 여아 30명)이 최종 연구대상이 되었다. 본 연구의 측정도구로 아동의 적응능력검사도구는 한국교육평가센터(KETC)에서 1998년 개발하여 표준화과정을 마친 종합적응능력검사를 사용하였으며, 개인적응영역(자아개념 12문항, 성취동기 10문항, 자기기획 15문항), 사회적응영역(사교성 15문항, 애착 9문항, 사회적 긍정성 10문항), 부적응영역(스트레스 20문항, 욕구좌절 10문항, 편견 12문항) 총 113문항으로 구성되어 있다. 아동의 자기지각검사도구는 Harter(1985)의 Self-Perception Profile이며, 학업역량, 사회적역량, 운동역량, 신체외모역량, 행동품행역량, 자기가치감 각각 6문항씩 총36문항으로 구성되어 있다. 아동의 사회적 지지검사도구는 한미현(1996)이 제작한 척도를 사용하였으며 부모지지, 교사지지, 학교친구지지, 친한 친구지지 각각 6문항씩 총 24문항으로 구성되어 있다.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.123-131
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• 2017

This study is to find the weaknesses in drug dose calculations of nursing students by analyzing their general characteristics, confidence(C), performances in classes(PC) and exam sheets of drug dose calculations. The data were analyzed using SPSS 19.0. There was no significant difference between male and female students in simple calculation ability(SCA), but male students' mean scores were higher in applied calculation ability(ACA) and accuracy on calculation(AC). There were no significant differences in calculation abilities according to high school departments. And students were weak in questions which are needed ACA. The explanation rate of C on PC and PC on AC were 4.2% and 3.2% respectively, so there were weak positive effects from C to PC, and PC to AC. This study suggests that there is a need to develop and implement an intervention program according to students' abilities to increase AC, C, and PC by studying math on an ongoing basis. This study needs to be cautious in generalizing, because the data set was limited to nursing students from one university.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.79-95
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• 2009

Women engineering education programs in the United States, Europe and Australia were analyzed. From 1970s, these countries focused on the low representation of women in engineering, and carried out extensive research and programs. Numerous studies identified the causes of low representation as low interests in mathematics and science during K-12 years, classroom environments which treat women differently (often referred as chilly climate), and the masculine culture in engineering. Comprehensive approaches were taken in the development of the programs: the programs utilized the schools and universities as well as various local institutes, and the programs were designed not only for female students from elementary to graduate levels, but also for parents, teachers, professors, and school administrators. In order to adopt these programs in Korea, the problems that Korean female engineering students are facing in the education environment must be investigated first. Then, unified efforts to change the educational system, environments and culture are needed by all in engineering fields, along with nation-wide policies and funding.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.867-883
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• 2010

Recognizing the importance of motivation, goal orientation, and attitudes toward schools is an important component for educators to consider as they establish positive learning communities for gifted learners. The purpose of this study was to describe attitudes toward school and self relationship to schoolwork for students who are enrolled in the 5th, 6th, and 7th grade, identified as gifted, accelerated in at least one subject (mathematics), and living in Korea or the United States. Comparisons were conducted for country of origin and gender for all subscales on the School Attitude Assessment Survey-Revised (McCoach & Siegle, 2004). Of the 507 participants (278 Korean and 229 American), girls scored higher on the motivation/self-regulation scale than boys and American students scored higher than Korean students on attitudes toward school, academic self perceptions, goal orientation, and motivation. There were no differences by country or gender on attitudes toward teachers.

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.957-968
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• 2021

Inverse censoring probability weighting (ICPW) is a popular technique in survival data analysis. In applications of the ICPW technique such as the censored regression, it is crucial to accurately estimate the censoring probability. A simulation study is undertaken in this article to see how censoring probability estimate influences model performance in censored regression using the ICPW scheme. We compare three censoring probability estimators, including Kaplan-Meier (KM) estimator, Cox proportional hazard model estimator, and local KM estimator. For the local KM estimator, we propose to reduce the predictor dimension to avoid the curse of dimensionality and consider two popular dimension reduction tools: principal component analysis and sliced inverse regression. Finally, we found that the Cox proportional hazard model estimator shows the best performance as a censoring probability estimator in both mean and median censored regressions.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.197-205
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• 2019

The purpose of this research was examining the effects of problem-based learning strategies(PBL) on problem solving skill conducted in Korea, using meta-analysis technique. This meta-analysis reviewed the results of 41 studies published between 1998 and 2017 in Korea. The overall weighted mean effect size value was .753 with .064 standard error which was calculated by random effects model. PBL strategies have been found to be more effective in mathematics course (d=.922), art course (d=.916), practical art course (d=.827), E-PBL (d=.791) and middle school level (d=.972). As PBL exhibit a substantial effect on students' problem solving skill, it is recommended that teachers should learn how to implement these strategies in their lesson. PBL is expected to contribute to the improvement of teaching methods as the learning environment changes during the 4th Industrial Revolution.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.673-681
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• Convergence Security Journal
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• v.21 no.1
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• pp.33-44
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• 2021

Data outsourcing utilizing the Cloud faces a problem of the third-party exposure, modulation, and reliability for the provided computational delegation results. In order to solve those problematic security issues, homomorphic encryption(HE) which executes calculation and analysis on encrypted data becomes popular. By extension, a new type of HE with a authentication functionality, homomorphic authenticated encryption(HAE) is suggested. However, a research on the HAE is on the initial stage. Furthermore, based on a message authenticated scheme with HE, the method and analysis to design is still absent. This paper aims to analyze an HAE, with a generic combination of a message authenticated scheme and a HE, known as "Encrypt with Authentication". Following a series of analysis, we show that by adopting a unforgeable message authenticated scheme, the generically constructed HAE demonstrated an unforgeability as well. Though, a strong unforgeability is not the case. This paper concludes that although indistinguishable HE can be applied to design the HAE, a security issue on the possibility of indistinguishability is still not satisfied.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.707-715
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• 2021

This study attempts to investigate what systematic support is needed for foreign national students studying in South Korea by analyzing the relationship between foreign national students' life satisfaction and experiences of discrimination. The study utilized neo-racism as a theoretical framework and assumed that foreign national students' experiences of discrimination may lower life satisfaction while disrupting related policies to be effective. Cluster sampling was used to collect surveys, and a total number of 322 cases were analyzed. The study result reveals that experiences of discrimination resulting from students' nationality and Korean language pronunciation led to low life satisfaction in general. Based on the findings, the authors suggest ways to promote awareness around (un)intentional discriminatory actions both at institutional and political levels.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.177-188
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• 2022

The support vector machine (SVM) has been successfully applied to various classification areas with a high level of classification accuracy. However, it is infeasible to use the SVM in analyzing massive data because of its significant computational problems. When analyzing imbalanced data with different class sizes, furthermore, the classification accuracy of SVM in minority class may drop significantly because its classifier could be biased toward the majority class. To overcome such a problem, we propose the DOC-SVM method, which uses divide-oversampling and conquers techniques. The proposed DOC-SVM divides the majority class into a few subsets and applies an oversampling technique to the minority class in order to produce the balanced subsets. And then the DOC-SVM obtains the final classifier by aggregating all SVM classifiers obtained from the balanced subsets. Simulation studies are presented to demonstrate the satisfactory performance of the proposed method.