• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.393-413
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• 2011

The collections of university libraries such as books in academic disciplines and dissertations are much used to support education of students and research activities of faculty members. Most of such materials naturally contain unique terms frequently and exclusively used in specific academic disciplines. Therefore, it is possible to infer the latest research trend in or correlations among various disciplines by analyzing those terms. In this study, the trend was analyzed by extracting technical terms from the metatadata for collections in the field of computer science of two university libraries in Korea. By comparing these terms with the trend of terms which appeared in dissertations and domestic scholarly articles, the relation between collections of university libraries and research trend in this particular academic field was analyzed.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.625-633
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• 2018

The goal of this study is to investigate the features of Korean eighth graders' achievement and its trend in Chemistry in TIMSS 2011 and TIMSS 2015, and to explore its implications for Korean science curriculum and in teaching science. With three science educators and six science teachers, we analyzed the characteristics of Korean eighth graders' achievement in Chemistry by test-curriculum matching analysis. According to the trend analysis of science topics with released items for Chemistry in TIMSS 2015, Korean students' percentage for correct answers has dropped in topics such as regularities in chemical reactions, oxidation-reduction, etc. since these topics are covered after the ninth grade in the 2009 revised curriculum. For science cognitive domains, Korean students showed weaknesses in 'applying' domain in TIMSS 2015. Based on the results, we suggested implications for improvement in middle school chemistry curriculum and how to improve science teaching and learning for students' better science competencies and real-world application of science knowledge.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3139-3153
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• 2018

The purpose of this study is to analyze the gap of private tutoring expenditure using data from 2001 to 2016 of Korean labor and income panel study (KLIPS). The final analysis target is about 1,300 to 1,800 households nationwide who participated in the Korean labor panel survey in each year. As a result of the analysis, the expenditure of private tutoring expenditure has been continuously increased since 2001, and it is analyzed that there is a large gap in expenditure of private tutoring even in the comparison of groups divided by the quintile. The spending gap on private tutoring expenditure in the first and fifth quintiles has increased steadily, reaching 11 times in recent years. By forecasting the polarization of private tutoring expenditure since 2016 using the Brown's smoothing method, it is highly likely that the polarization of private tutoring expenditure will be further expanded. The implications for preparing an alternative educational policy and suggestions of conducting a follow-up study for private tutoring expenditure gaps were also discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.331-343
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• 2019

The purpose of this study is to observe the trends of heart age of Koreans by using the predictor of heart age of the Framingham Heart Study. The subjects were 20,012 adults aged 30~74 years who were enrolled in the Korean National Health and Nutrition Examination Survey from 2005~2013. They filled in the determinants data and they had no history of cardiovascular disease (CVD). The heart age was calculated using a non-laboratory based model of prediction. The difference of heart age and chronological age, and the rate of excessive heart age over 10 years were calculated. The annual trend, the difference according to gender, the age bracket and geographic region, the heart age were all evaluated. Data analysis performed using the SAS program (version 9.3). Complex designed analysis was done. The heart age showed differences according to gender, age bracket and geographic region. The heart age is a useful comprehensive indicator for predicting the CVD events in the near future. So, it could be used for the purposes of exercising caution and guidance on CVD for administering medical care. It is strongly recommended to use heart age as an indicator for customized medical management to focus efforts on relatively vulnerable subjects and their factors for CVD. Further study on Koreans' customized heart age is needed.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.381-387
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• 2004

도시주민들은 경제, 문화생활 및 의식수준이 향상됨에 따라 보다 다양하고 양질의 공공서비스를 요구하게 되었다. 주민들의 이러한 요구는 공공서비스 시설의 입지문제와 직결되는 것으로 도시의 입지결정 시 가장 중요한 고려사항 중의 하나는 공공서비스를 보다 저렴하고 편리하게 시민들이 이용할 수 있게 제공함으로써 이용주민들의 복지를 극대화 시켜야한다는 점이다. 이러한 기본 목적을 충족시키기 위해서는 공공시설의 위치결정이 중요한 문제가 된다. 본 논문에서는 접근성 이론과 GIS 공간분석 기법을 접목하여 입지분석을 시행하였으며 연도별 최적입지를 산출하고, 각 구청의 연도별 최적 입지점의 지도화를 통해 그들의 이동 추이를 추적하며 각 구청의 연도별 최적값의 변화 추이를 살펴보았다. 또한 비교분석을 통하여 연도별 현구청의 입지 혹은 이전할 입지의 적합성을 평가하였다. 이를 위해서 입지분석을 위한 이론적 검토로서 공공서비스 시설의 입지이론에 대해 살펴보고 구청사의 입지 적정성을 객관적인 기준에 따라 평가할 수 있는 계량적인 입지분석 방법을 검토 정립하였다. 본 연구에서는 이론적인 근거를 실제 공공시설적용을 위하여 금천구를 선정하였고, 구청의 도시현황을 분석하고, 도로망, 인구추정을 통하여 관련자료를 수집하였다. 이를 토대로 정성적, 정량적 분석 및 효율성과 형평성을 고려하여 구청사 위치의 적정성에 대한 결론을 도출하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.181-183
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• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.467-467
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• 2021

기존 저수지 농업용수는 주로 논의 벼재배 용수공급을 목적으로 설계되었지만, 논 지역 타작물 재배 지원 등의 정책으로 논에서 밭으로 전작화가 증가함에 따라 농업용수의 효율적 분배를 위한 논의 전작화 패턴 분석이 필요한 실정이다. 이에 본 연구에서는 공공데이터 포털의 2019년 팜맵을 활용하여 최신 경지 현황을 파악하고, 환경부의 2007년, 2019년 토지피복지도를 이용하여 전작화 패턴을 분석하였다. 구축된 팜맵과 토지피복지도는 환경부 토지피복분류 기준 농업지역 중분류로 일치시켜 분석에 활용되었다. 논, 밭, 시설재배지 등의 농경지 이용 현황 및 전작화 추이는 전국 단위, 권역 단위로 분석되었고, 주요 시도와의 공간적 거리를 전작화 영향인자로 설정하여 DUP(Degree of Urban Proximity) 등의 지표로 그 영향을 확인하였다. 또한, 전체 경지 중 논, 밭의 면적과 증감 추이를 ACR(Area Change Rate) 등의 지표로 전작화 규모를 파악하였고, LPI(Largest Patch Index), LSI(Landscape Shape Index) 등의 지표로 개별/집단화 전작의 패턴분석을 수행하였다. 본 연구로 제시된 저수지 수혜 구역별 논의 전작화 패턴은 논 벼재배와 농업용수 수요 특성이 상이한 밭작물에 안정적 용수공급 체계 구축 등의 기초자료로 활용 가능할 것으로 생각된다.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.173-184
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• 1999

The longitudinal trend of elementary and secondary students' science process skills were investigated to monitor the progress of science learning. Science process skill test, developedin an earlier study on developing a national science process skills assessment system,was revised and administered for the study on March, 1999. Subjects were sampled nation wide according to sex and region. The results of this assessments were compared to those administered on February, 1997. The results showed little difference on science process skills among elementary school students. However, secondary students showed marked increase in science process skills. More systematic and long-term research for assessing science process skills should be planned and performed periodically to provide empirical and foundational data for educational policy making.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.813-824
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• 2021

To improve educational performance by analyzing the learning trends of adult learners of Open High Schools, various algorithm models using artificial intelligence were designed and performance was evaluated by applying them to real data. We analyzed Log data of 115 adult learners in the cyber education system of Open High Schools. Most adult learners of Open High Schools learned more than recommended learning time, but at the end of the semester, the actual learning time was significantly reduced compared to the recommended learning time. In the second half of learning, the participation rate of VODs, formation assessments, and learning activities also decreased. Therefore, in order to improve educational performance, learning time should be supported to continue in the second half. In the latter half, we developed an artificial intelligence algorithm models using Tensorflow to predict learning time by data they started taking the course. As a result, when using CNN(Convolutional Neural Network) model to predict single or multiple outputs, the mean-absolute-error is lowest compared to other models.

• Journal of Labour Economics
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• v.32 no.2
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• pp.95-124
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• 2009

In this article, I were trying to analyze the listed manufacturing companies' trend of productivity and the corporate education & training effect after the financial crisis. According to the analysis, the listed manufacturing companies have decreased their productivity since financial crisis, and from such declining trend. jobless growth and a growth without physical and human capital investment has been observed. Furthermore, there is no efficient labor force coordination within the manufacturing industry; In order to analyze the effect of education & training investment on productivity more deeply, I have practiced the dynamic panel data analysis from constructing the micro panel data which consists of company level information 1997~2008. According to the consequences, dynamic panel data analysis solved the problem of the overestimating education & training effect fairly well.