• Title/Summary/Keyword: 언어네트워크 분석법

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Semantic Network Analysis of Science Gifted Middle School Students' Understanding of Fact, Hypothesis, Theory, Law, and Scientificness (언어 네트워크 분석법을 통한 중학교 과학영재들의 사실, 가설, 이론, 법칙과 과학적인 것의 의미에 대한 인식 조사)

  • Lee, Jun-Ki;Ha, Minsu
    • Journal of The Korean Association For Science Education
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    • v.32 no.5
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    • pp.823-840
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    • 2012
  • The importance of teaching the nature of science (NOS) has been emphasized in the science curriculum, especially in the science curriculum for science-gifted students. Nevertheless, few studies concerning the structure and formation of students' mental model on NOS have been carried out. This study aimed to explore science-gifted students' understanding of 'fact', 'hypothesis', 'theory', 'law', and 'scientificness' by utilizing semantic network analysis. One hundred ten science-gifted middle school students who were selected by a national university participated in this study. We collected students' written responses of five items and analyzed them by the semantic network analysis(SNA) method. As a result, the core ideas of students' understanding of 'fact' were proof and reality, of 'hypothesis' were tentativeness and uncertainty, of 'theory' was proven hypothesis by experimentation, of 'law' were absoluteness and authority, and of 'scientificness' were factual evidence, verifiability, accurate and logical theoretical framework. The result of integrated semantic network illustrated that the viewpoint of science-gifted students were similar to absolutism and logical positivism (empiricism). Methodologically, this study showed that the semantic network analysis method was an useful tool for visualization of students' mental model of scientific conceptions including NOS.

Analysis of the contents of the Act on the Development, Management, etc. of Marinas using Semantic Network Analysis (언어네트워크 분석 기법을 활용한 마리나항만법 내용 분석)

  • Park, Gyung-Yeol;Hong, Jang-Won
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.2
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    • pp.163-170
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    • 2018
  • The purpose of this study is to describe quantitatively the characteristics and the structure of the Act on the development, management, etc. of Marinas (the Marinas Act) by analysing its provisions using semantic network analysis. The method of semantic network analysis has its advantages in overcoming limitations of the traditional content analysis method, as it is easy for the user to understand the structure and the shape of a network by figuring out the structural network among words. The object of the analysis is the full text of Marinas Act recently revised from Chapters 1 to 4, while partial analysis is carried out respectively for each chapter from Chapters 2 to 4. The structural characteristic of the Marinas Act shows that the act focuses on the development of marinas, as its main goal is interpreted to set up hardwares and to construct facilities rather than to promote the marina industry itself. Even though some clauses for human capital development and business development are included, they are of less importance compared to the development of marina facilities. This study provides some basic information on the structural characteristics of the current act, which can be referred to in subsequent studies. In the future, it also needs to be complemented through comparative analysis with government policy outcomes and performance of diverse analytical approaches.

The Comparison of Perceptions of Science-related Career Between General and Science Gifted Middle School Students using Semantic Network Analysis (과학영재 중학생들과 일반 중학생들의 과학과 관련된 직업에 대한 인식 비교: 언어 네트워크 분석법 중심으로)

  • Shin, Sein;Lee, Jun-Ki;Ha, Minsu;Lee, Tae-Kyong;Jung, Young-Hee
    • Journal of Gifted/Talented Education
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    • v.25 no.5
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    • pp.673-696
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    • 2015
  • Students' perception of science-related career strongly influences the formation of career motivation in science. Especially, the high level of science gifted students' positive perceptions plays an important role in allowing them to continue to study science. This study compared perceptions of science-related career between general and gifted middle school students using semantic network analysis. To ensure this end, we first structuralize semantic networks of science-related careers that students perceived. Then, we identified the characters of networks that two different student groups showed based on the structure matrix indices of semantic network analysis. The findings illustrated that the number of science-related careers shown in science gifted students' answer is more than in general students' answer. In addition, the science gifted students perceived more diverse science-related careers than general students. Second, scientific career such as natural scientists and professors were shown in the core of science gifted students' perception network whereas non-research oriented careers such as science teachers and doctors were shown in the core of general students' perception network. In this study, we identified the science gifted students' perceptions of science-related career was significantly different from the general students'. The findings of current study can be used for the science teachers to advise science gifted students on science-related careers.

A Security Policy Description Language Based on Graphical Object Oriented Notations (그래픽 기반의 객체지향 표기법을 이용한 정형적인 보안정책 기술 언어)

  • 강철범;김상현;김지영;장희진;이우진;김상욱;유동영;김형종
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2002.11a
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    • pp.356-360
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    • 2002
  • 인터넷의 급속한 확대로 인해 컴퓨터 시스템 또는 네트워크 상에서 보안 문제는 점차 중요한 이슈로 다루어지고 있다. 시스템 또는 네트워크에서 보안 문제를 어떻게 다루느냐는 어떠한 보안정책을 구현하고 있느냐와 밀접하게 연결된다. 이 논문에서는 시스템 또는 네트워크에서 다루어지고 있는 기존 보안정책들을 표현할 수 있는, 그래픽 기반의 새로운 보안정책 언어를 제시한다. 이 언어는 객체 지향 기법에 기반을 두고 있는 그래픽 보안정책 기술 언어이다. 보안정책은 객체 내부 상황 및 객체들 사이 연관성을 표현하여 보안정책이 적용되는 상황을 기술하고 보안정책에서 만족되어야 하는 조건 및 행위 또한 객체 내부와 객체간의 연관성으로 표현된다. 객체지향 보안정책 언어는 그래픽 언어이기 때문에 명확하고 이해하기 용이하다는 장점이 있으며 UML의 클래스 다이어그램과 상태도로 대상 시스템을 표현할 수 있으므로 명시된 보안정책들에 대한 분석을 수행할 수 있다는 장점이 있다.

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An Analysis of the Changes of High School Students' Conceptual Structure about Sedimentary Rocks before and after the Field Trip using the Semantic Network Analysis (언어네트워크분석을 이용한 야외지질학습 전후의 퇴적암에 대한 개념 구조 변화 분석)

  • Park, Kyeong Jin;Chung, Duk Ho;Cho, Kyu Seong
    • Journal of the Korean earth science society
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    • v.34 no.2
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    • pp.173-186
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    • 2013
  • The purpose of the study was to investigate the change of students' conceptual structures about sedimentary rocks through the field trip. A semantic network analysis method was utilized to assess the change. An open-ended questionnaire was developed to assess high school students' knowledge of sedimentary rock including its definition, classification, formation process, and characteristics. Fifteen high school students participated in the field trip of this study. The text data were analyzed using the semantic network analysis method. Results are as follows. First, high school students' conceptual structures about sedimentary rocks were more expanded after the field trip. Second, students' conceptual structures formed a 'small world network' by combining the sub-clusters. Third, the size of students' conceptual structures was decreased after a few month of field trip. Nonetheless, the connection among the clusters remained the same.

Analysis of International Research Trends in Metaverse: Focusing on the Publications in Web of Science Indexed Journals

  • Jang, Phil-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.155-162
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    • 2022
  • In this paper, we examined the research trends and characteristics related to the metaverse in global journals published between 2000 and 2022 from the Web of Science database. The analysis included descriptive statistics, multidimensional scaling, keyword network analysis, and visualization. In addition, semantic network models were constructed, and centrality (betweenness and degree) analysis was performed using R and KH coder in two separate categories based on the trends and aspects of the publication: analysis period 1 (Jan 2000 to Dec 2020) and period 2 (Jan 2021 to Jun 2022). The results showed that the recent global research trends related to the metaverse could be quantitatively characterized using the semantic network analysis. Also, the results could be applied to suggest future research topics in the field of metaverse based on quantitative and empirical data.

Conceptual Structure Analysis of Metamorphic Rock by Earth Science Teachers Using Semantic Network Analysis (언어네트워크분석을 활용한 지구과학교사들의 변성암에 대한 개념 구조 분석)

  • Duk Ho Chung;Chul Min Lee
    • Journal of the Korean earth science society
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    • v.43 no.6
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    • pp.762-776
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    • 2022
  • The purpose of this study was to determined the conceptual structure used by earth science teachers to classify metamorphic rocks as well as the criteria applied in the process of classifying metamorphic rocks. To this end, the researchers collected verbal data uttered in the process of classifying metamorphic rock using think-aloud from 21 earth science teachers in middle and high schools in Jeollabuk-do, Republic of Korea. The collected verbal data were analyzed using the semantic network analysis method, and the following results were obtained. First, in the process of classifying metamorphic rocks, earth science teachers classified them based on characteristics such as color, compositional minerals, and particle size, which can be generally observed in rocks, and foliation that appears in metamorphic rocks. Second, earth science teachers recognize the classification criteria for metamorphic rocks and focus on metamorphism such as contact metamorphism or regional metamorphism. However, there were cases where rocks were mistakenly classified through incorrect identification. Therefore, it is necessary to provide sufficient observational information about, and experience of, metamorphic rocks to enable earth science teachers to recognize and relate to the scientific process of identifying metamorphic rocks through the phenomena observed.

Emergency Disaster Support Fund of Korea in 2020 confirmed through News Articles of Major Newspaper (주요 신문사 뉴스 기사를 통해 살펴본 2020년도 대한민국의 긴급재난지원금)

  • Kwon, Choong-hoon;Lee, Hyoung-Ha
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.169-170
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    • 2020
  • 본 연구는 코로나19 상황에서 대한민국 긴급재난지원금의 모습을 주요 신문사 뉴스 기사들을 통해 분석하고 그 결과를 제시하고자 한다. 분석대상은 2020년 3월 22일부터(긴급재난지원금 첫 보도) 5월 31일까지, 중앙일간지(11개 신문사)의 '긴급재난지원금' 관련 신문기사들이다. 신문기사 분석방법론은 관련 연구주제가 선행연구가 축적되지 않는 상황에서 나름 가치 있는 연구접근법이다. 본 연구에서는 뉴스기사 빅데이터 분석 서비스인 빅카인즈를 활용하여, 관련기사의 뉴스 트렌드, 연관어, 관계도 등을 분석하여 제시하였다. 본 연구는 향후 해당 분석대상을 가지고, 보다 밀도 있고 깊이 있는 언어네트워크(의미망) 분석으로 확장해 나갈 계획이다.

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A Plain Language Policy Institutionalized in the U.S. and Implications for Korea (미국의 쉬운 언어정책의 제도화와 한국에의 시사점)

  • Kim, MyungHee
    • The Journal of the Korea Contents Association
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    • v.15 no.2
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    • pp.242-251
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    • 2015
  • This paper is to analyse statutes and execution system on 'plain language policy' of the U.S. in the process of policy was instituted, and to suggest the meaningful implications for Korean easy public language improvement project based on the conclusions drawn. The summarized conclusion is as follows. First, the continuous interests of Presidents and taking the lead of federal agencies played important roles until the U.S. plain language policy has been established as a system. Second, in executing the U.S. plain language policy, laws legislated by period contributed to elicit mandatory compliances from the federal agencies. Third, a propelling agent of plain language policy, PLAIN, is not an administrative department but a community consisted of federal employees and experts. Fourth, plain language policy was unexpectedly given wholehearted support and assistance by Presidents and their administrations from the reform-minded Democratic party. Fifth, during the 2000s most federal departments and agencies held self-managed websites and programs related to plain language. To conclude the current U.S. plain language policy surely performs a mechanism to improve communication and a role as a ladder of trust between the public and government.

The Sementic Network Analysis of Elementary Students' Perceptions about Global Environment (초등학생들의 지구환경 인식에 대한 네트워크 분석)

  • Lee, Sanggyun;kim, Soonshik
    • Journal of the Korean Society of Earth Science Education
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    • v.11 no.3
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    • pp.212-223
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    • 2018
  • The purpose of this study is to investigate the perception of elementary students' 'global environment'. The research method used the Sementic Network Analysis method of the global environment elements which appeared in the students' explanation about the picture and the picture that emerged about the 'global environment'. The results of the study are as follows. First, as a result of analyzing the students' explanation of the pictures along with the pictures of the students, the elementary students were perceived negatively about the global environment such as 'environmental pollution', 'global warming' and 'trash problem'. Second, as a result of analyzing the image of the global environment expressed in the picture, there were many images expressed from a everyday viewpoint rather than a macroscopic viewpoint, and there was a tendency to express the earth personified. In addition, the picture expressing the clean earth environment expressed the most trees with natural environment elements and expressed the healthy earth with various natural elements such as sea, mountain, and land. Third, as a result of analyzing the difference of perception of global environment by grade, it was found that the difference of perception of global environment by grade was not much different.