• Environmental and Resource Economics Review
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• v.28 no.1
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• pp.1-37
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• 2019

This study investigates the convergence in per capita $CO_2$ emission by income group for an unbalanced panel of 152 countries from 1980 to 2013 using beta and sigma convergence model. Absolute beta and sigma convergence differed by $CO_2$ emission reduction policies in each countries. Conditional beta convergence shows that per capita income has a negative effect on growth in per capita $CO_2$ emission. In particular, better-quality institutions and technology accelerated the negative effect of per capita income on the speed of convergence of per capita $CO_2$ emission in high-income countries. For middle-income countries, the growth of income affected the convergence of $CO_2$ emission per capita, but institutional quality has an insignificant impact. On the other hand, improvements in the level of technology have a mitigating effect on the negative impact of income in middle-income and low-income countries, contributing to the increase in $CO_2$ emission.

• School Mathematics
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• v.6 no.3
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• pp.301-312
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• 2004

The aim of the National Assessment of Educational Achievement (NAEA) is to produce specific and reliable resources required for the diagnosis and quality control of teaching and learning by measuring the level of students achievement based on the national curriculum. In 2002, we introduced ‘modified Angoff Method’ to obtain more systematic and rational results about the achievement levels. The result indicated the differences of achievement level according to the differences of sexes. Female students achieved higher scores than male students in Grade 6. Male students achieved higher scores than female students in Grade 9 and 10. Furthermore it disclosed a problematic phenomenon that students in small towns and rural areas showed significantly lower scores in all six sub-areas of Mathematics compared with students in metropolitan and cities. The results from the NAEA listed above could be used as the authentic data for improving national curriculum and teaching and learning methods, the establishment of educational policies, and many other areas.

• Journal of the Korean Chemical Society
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• v.66 no.2
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• pp.136-149
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• 2022

Chemistry focuses on explaining macroscopic phenomena at the microscopic level with particles, such as atoms or molecules. Explanation using particles are bound to be considered as abstract by students, because it was dealing with invisible objects. For that reason, the science national curriculum presented to middle school students the explanation of the units related to the composition of matter. Therefore, understanding about the composition of matter in middle school students becomes an important basis for learning of chemistry, and it is necessary to investigate their understanding about composition of matter. In this study, students' understanding about 'composition of matter' region, which is first presented to middle school students, was confirmed at an overall level. In this line, this study analyzed the results of the items in the composition of matter region, and analyzed items were used in the National Assessment of Educational Achievement (NAEA) from 2015 to 2019. We analyzed the 9 items presented in the NAEA according to the response rate of options and response rate distribution curve, and explained the characteristics of understanding derived by each achievement level were examined. According to the analyzed results by dividing the conceptions about elements, atoms, and ions, students above the proficient achievement-level had scientific conceptions overall, but students below the basic achievement-level had inconsistent or naive conceptions. Based on the results for each item, this study discussed some implications to be considered or to be improved on teaching-learning for 'composition of matter'.

• The Journal of Korean Association of Computer Education
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• v.10 no.2
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• pp.1-8
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• 2007

Although the core of national competitiveness in the knowledge information society lies in IT, school education at the moment is failing to execute systematic and organized computer education. Recently, the 7th on-demand partial amendment of educational curriculum at national level is being executed in full-scale. Educational curriculum for elementary and middle class at national level is the systematic and organized program for cultivation of competent persons in order to foster the desired image of human kind for the future society pursued by the nation. For such reason, stabilization of program for cultivation of competent persons for establishment of true IT superpower is not irrelevant with the 7th amendment of the educational curriculum. Therefore, this thesis shall look into the 7th national level education curriculum at level of general outline as well as their particulars, and present means of amendment of computer subject educational curriculum through the means connecting the issues raised in general outline and their particulars regarding the direction of the amendment of the national level educational curriculum for establishment of true IT superpower.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.33-61
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• 2015

The global economy is rapidly changing by technological innovation and diffusion of knowledge across nations. Therefore it is still important issue to find a major variables for convergence and divergence of economic development. The studies up to present on the relationship between innovation and institution has limitations that they have dealt with this issue only in term of cross-sectional study or mathematical research models. This paper aims at analyzing the impact of innovation capabilities and institutional quality on the economic growth. Empirically this paper will explore the relationship among human capital capacity and FDI, R&D expenditures and innovation capabilities and institutional quality. This paper analyzes 64 countries, which were divided into 4 groups depending on the level of economic development. Based on the data from 1995 to 2011 and by using a panel model, we look at the structural implications of the research questions. According to our analysis, the weight of R&D and the innovation capabilities were identified as important determinants of economic growth, and FDI was significant factor for economic growth in the upper middle group countries. In case of the innovation capabilities of countries, the diffusion and openness of innovation were most meaningful variables for economic growth. Also, institutional quality has a significantly positive impact. However, in the low-level economic group, innovation capabilities and institutions have a negative impact on economic growth. This paper identifies an important policy implications that of national innovation and institutional factors should be properly invested in accordance with the level of a country's economic growth.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.151.1-151.1
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• 2010

우리나라의 신재생에너지 기술개발은 2008년 '저탄소 녹색성장' 국가 비전 선포 이후 국가 에너지 R&D 전략의 중심에 자리 잡고 있다. 이미 우리의 경쟁 대상인 선진국들은 신재생에너지 기술을 중심축으로 녹색산업을 신성장 동력으로 활용하고자 국력을 집중하고 있다. 우리나라는 선진국과 비교할 때 상대적으로 신재생에너지 기술개발 후발자이다. 기술적 핸디캡을 극복하고 대등한 경쟁에 뛰어들기 위해서는 신재생에너지 기술보유 선진국과의 국제협력을 통한 시너지효과 창출이 필요하다. 이는 최고수준의 국가 및 기관들과 협력을 도모함으로써 기술개발 기간 단축은 물론 조기 기술격차 해소가 가능하기 때문이다. 이러한 국가간 상호협력을 위해서는 무엇보다 기술 분야별 선진국 수준과 우리의 수준에 대한 객관적인 분석이 필요하다. 이를 위해 주요 신재생에너지 기술들을 대상으로 심층적인 전문가 조사를 통해 전세계 주요 국가 및 관련 업체들의 기술수준 및 협력 선호 유형을 분석하였다. 이에 더해 관련 기술 시장 상황을 고려하여 기술별 국제 협력 추진 전략을 시장주도형 모델과 공동연구형 모델로 나누어 수립하였다. 수립된 전략을 바탕으로 신재생에너지 기술 국제협력 활성화를 위한 정책 추진 방향을 제시하였다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.103-113
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• 2017

SCI(E)논문은 국가연구개발사업으로부터 도출되는 대표적 1차 산출 성과이며, R&D활동의 흐름을 파악할 수 있는 가장 중요한 지표 중 하나이다. 우리나라는 1980년대 50위권에 머물렀던 SCI(E)논문수가 1990년대를 거치면서 비약적으로 확대되었고, 최근 양적 규모 면에서는 세계 12위 수준을 유지할 만큼 괄목한 만한 성장을 이루었다. 최근 이러한 양적 확대 속에서, 논문의 질적 수준이 정체되고 있다는 문제점이 종종 거론되고 있다. 따라서 우리나라의 SCI(E)논문 성과가 가지는 질적 수준을 평가하기 위해 다양한 노력이 있어 왔다. 대표적인 SCI(E)논문의 질적 지표로 논문 피인용횟수와 저널 영향력지수가 있다. 그러나 이러한 지표는 학문 분야간 인용 특성을 반영하지 못하므로, 국내 연구자 사이에서도 다양한 순위보정영향력지수를 개발하고자 하는 시도가 있어 왔다. 본 논문에서는 그간 개발된 순위보정영향력지수를 추가적으로 보완하여, 보다 의미 있는 지표를 도출하고자 하였으며, 해당 지표를 국가연구개발사업 SCI(E)논문 성과에 적용하여 우리나라 SCI(E)논문 성과의 질적 수준을 검토하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.673-685
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• 2017

STI(Social Trust Index) indicates levels of trustworthiness, honesty and reliability among people in a society. Since the STI varies in countries, security control on cyber space should be applied differently according to the STI so that companies can protect their assets efficiently and effectively. We compare STIs between Korea and United States using the Diamond Model and investigate how the STIs affect corporate security controls in those two countries. We finally present a formula using AHP (Analytic Hierarchy Process) to measure levels of corporate security controls in different countries.

• Spatial Information Research
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• v.20 no.6
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• pp.91-98
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• 2012

In order to efficiently promote a nation's National Spatial Data Infrastructure (NSDI) vision, it is important that a rational NSDI promotion system should be established. For such a NSDI promotion system, cooperation among the related organizations and the consistency of policies are crucial. In these regards, the main purpose of this research is to suggest a desirable model for the NSDI promotion system. Also, this study attempts to demonstrate problems and provide solutions in Korea NSDI promotion system. To accomplish this purpose, the literature reviews and content analysis were used. Following are the major findings of this research. First, a desirable NSDI promotion system should be consisted of the upper system (at the planning level) and the lower system (at the executive or implementing level). Second, the upper and lower system in NSDI promotion system should both be vertically connected and be horizontally connected. Third, the upper system should consist of the NSDI promotion committee, civil advisory committee, and sub-committee. Fourth, the lower system for the execution purposes of NSDI projects should consist of the NSDI top manager, in each central/local government, and professional support institute.

• Informatization Policy
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• v.31 no.2
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• pp.39-64
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• 2024

This study assesses the national AI competitiveness of 38 OECD countries with focus on AI human capital, AI infrastructure, and AI innovation capacity. Utilizing the fuzzy-set ideal type analysis method, these countries were categorized into eight distinct types based on their national AI competitiveness levels, leading to the derivation of pertinent implications. The analysis identified a category termed "AI Leading Country" consisting of North American, Western European, and Nordic countries, along with several Asian nations including South Korea. Remarkably, the United States demonstrated dominant global national AI competitiveness, achieving the highest fuzzy scores across all three evaluative factors. South Korea was classified as an "AI Leading Country" primarily due to its superior AI infrastructure, but its performance in AI human capital and AI innovation capacity was found to be moderate relative to other analyzed nations; thus highlighting the necessity of sustained focus on the accumulation of AI human capital and bolstering of AI innovation capacity.