• Title/Summary/Keyword: News Education

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An Analysis of Keywords on 'School Space Innovation' Policies using Text Mining - Focused on News Articles - (텍스트 마이닝을 활용한 '학교 공간 혁신' 정책 키워드 분석 - 뉴스 기사를 중심으로 -)

  • Lee, Dongkuk
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.19 no.2
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    • pp.11-20
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    • 2020
  • The goal of this study was to investigate the implementation and related issues of the school space innovation issued by key Korean mass media using text mining. To accomplish this goal, this study collected 519 news articles associated with the school space innovation issued by 54 Korean mass media companies. Based on this data, this study performed the frequency analysis and network analysis regarding the keywords. Based on the findings, the characteristics of school space innovation are summarized as follows: First, school space innovation has progressed in response to future education. Second, users are actively participating in school space innovation. Third, experts are supporting the innovation of school space by establishing a cooperative system. Fourth, the community is actively considering the innovation of school space. Fifth, the main projects of the Ministry of Education and the Provincial Offices of Education are actively conducted in a mix of top-down and bottom-up approaches. The findings of this study will contribute to providing a clear direction for contemporary school space innovation and implications for future research agenda and implementation.

A study on the rental Hanbok - Focusing on the market and consumer changes between 2006 and 2016 - (대여 한복에 대한 연구 - 2006년과 2016년 시장과 소비자 변화를 중심으로 -)

  • Shim, Joonyoung
    • The Research Journal of the Costume Culture
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    • v.25 no.3
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    • pp.405-418
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    • 2017
  • The purpose of this study is to investigate changes in the rental Hanbok market and consumer during the past 10 years. This study was done by analyzing internet news about rental Hanbok and in-depth interview. The results provide basic data that can be used to understand the rental Hanbok market. Results showed the followings: First, the rental Hanbok market has expanded and consists of two types of rental Hanbok; ceremonial and experiential. The experiential Hanbok is new but a big part in rental Hanbok market. It is not existed until 2007 but it accounted for more than 60% of internet news about rental Hanbok in 2016. Second, there is a significant difference in consumer behavior between the two types of rental Hanbok. Ceremonial Hanbok showed consistent consumer behavior between 2006 and 2016. Consumer want to get benefits such as TPO(occasion suitability), economy, exhibition, trendy and exceptionality through renting Hanbok. On the other hand, experiential Hanbok, consumers are motivated by having unique, conformity and sharing memories. Based on these results, different sets of information reveal the unique features of the two types of rental Hanbok. And also needed to develop new designs and marketing strategies for them.

The Study on the Meaning Change of 'Startup' and 'Entrepreneurship' using the Bigdata-based Corpus Network Analysis (빅데이터 기반 어휘연결망분석을 활용한 '창업'과 '기업가정신'의 의미변화연구)

  • Kim, Yeonjong;Park, Sanghyeok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.4
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    • pp.75-93
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    • 2020
  • The purpose of this study is to extract keywords for 'startup' and 'entrepreneurship' from Naver news articles in Korea since 1990 and Google news articles in foreign countries, and to understand the changes in the meaning of entrepreneurship and entrepreneurship in each era It is aimed at doing. In summary, first, in terms of the frequency of keywords, venture sprouting is a sample of the entrepreneurial spirit of the government-led and entrepreneurs' chairman, and various technology investments and investments in corporate establishment have been made. It can be seen that training for the development of items and items was carried out, and in the case of the venture re-emergence period, it can be seen that the youth-oriented entrepreneurship and innovation through the development of various educational programs were emphasized. Second, in the result of vocabulary network analysis, the network connection and centrality of keywords in the leap period tended to be stronger than in the germination period, but the re-leap period tended to return to the level of germination. Third, in topic analysis, it can be seen that Naver keyword topics are mostly business-related content related to support, policy, and education, whereas topics through Google News consist of major keywords that are more specifically applicable to practical work.

A Study on the Enhancement of Information & Communication Technology Literacy Capacity through Web News-data in Education (웹 신문학습을 통한 정보통신기술 소양 능력 신장에 관한 연구)

  • Bang, Ju-Hye;Lee, Yong-Bae
    • 한국정보교육학회:학술대회논문집
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    • 2006.01a
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    • pp.77-82
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    • 2006
  • 학습자들은 소양교육으로 정보통신기술에 대한 기초적인 지식과 활용 능력을 습득하고 이를 토대로 각 교과에서 정보통신기술을 활용할 수 있어야 한다. 이 두 가지의 교육이 서로 연계하여 이루어질 때 정보통신기술 활용 능력은 가장 효과적으로 신장된다. 이러한 소양교육과 활용교육 연계선상에서 이루어지는 교육이 바로 웹 신문학습이다. 그러나 웹 신문학습이 정보통신기술 소양 능력 향상에 영향을 미치는지의 검증 연구가 진행되지 않아 교육효과에 대한 불확실성을 갖고 있었다. 이에 컴퓨터 교육의 목표를 효율적으로 달성할 수 있는 교수 학습 방법인 웹 신문학습을 수행한 후 정보통신기술 소양 능력을 측정하여 객관적인 수치로 교육적 효과를 검증하였다.

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Trend Analysis of Sports for All-Related Issues in Early Stage of COVID-19 Using Topic Modeling (토픽 모델링을 활용한 코로나19 초기 생활체육 이슈 분석)

  • Chung, Yunkil;Seo, Sumin;Kang, Hyunmin
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.57-79
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    • 2022
  • COVID-19, which started in December 2019, has had a great impact on our lives in general, including politics, economy, society, and culture, and activities in sports and arts have also been significantly reduced. In the case of sports, sports for all fields in which ordinary citizens participate were particularly affected, and cases of infection in places closely related to people's lives, such as gyms, table tennis, and badminton clubs, also amplified the social fear of the spread of COVID-19. Therefore, in this study, we analyzed news articles related to sports for all at the time when COVID-19 was first spread, and investigated what issues were emerging and being discussed in the sports for all field under the COVID-19 situation. Specifically, we collected news articles dealt with sports for all issues under the COVID-19 situation from Korea's leading portal news sites and identified key sports for all issues by performing topic modeling on these articles. Through the analysis, we found meaningful issues such as COVID-19 outbreak in sports facilities and support for sports activities. In addition, through wordcloud analysis of these major issues, we visually understood the issues and identified the changes in these issues over time.

A Study on Event Revitalization for Reading Education in School Libraries (독서교육을 위한 학교도서관의 행사 활성화 방안)

  • Lee, Man-Soo
    • Journal of Korean Library and Information Science Society
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    • v.40 no.1
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    • pp.385-404
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    • 2009
  • The purpose of this study is to survey the events which school libraries have practiced for reading education and to do the suggestions on the revitalization of events which are related to the reading education. The results of this study is like following; 1) Teacher-librarians should be employed to school libraries. 2) School libraries ought to make a plan for the events which are related to the reading and libraries and practice it. 3) School libraries have to inform the news according to reading education events through the webpage of school libraries. 4) The budget for reading education should be obtained. 5) The administrative assistance is needed for the reading education events. 6) Teacher-librarian should make the plans for reading education based on the social memorials.

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Exploring Change of The Main Key Words in Nanum Broadcast News of the Koryeinmaeul Enclave in Gwangju (광주고려인마을 나눔방송의 주요 핵심어 변화 탐색)

  • Lee, Hyoung-Ha;Kwon, Choong Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.185-186
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    • 2019
  • 본 연구는 광주고려인마을 나눔방송의 나눔뉴스(2010년부터 2018년까지) 기사제목에 나타난 주요 핵심어와 그들간의 관계성을 탐색하기 위해 텍스트 마이닝(text mining) 방법론을 활용하여 분석하였다. 고려인마을 지원조례 제정(2013년) 후 고려인마을지원종합지원센터 개소(2015년)하면서 이주초기와는 다르게 다양한 나눔방송 뉴스가 생산되고 있다. 본 연구에서는 나눔방송의 나눔뉴스 분석을 1기(2010년부터 2014년), 2기(2015년부터 2018년까지)로 구분하여 그 주요 핵심어의 변화를 탐색하고자 한다.

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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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『Superintendent's Direct Election System』 shown in Media News Big Data (언론사 뉴스 빅데이터를 통해 살펴본 『교육감 직선제』)

  • Kwon, Choong-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.351-354
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    • 2022
  • 본 연구는 최근 2022년 6월 1일에 실시된 전국 시도교육청 교육감 선거를 계기로 진행된 연구이다. 본 연구의 목적은 2010년 1월 1일부터 2022년 6월 10일까지 '교육감 직선제'를 다룬 언론사 기사들을 분석하여 그 결과를 객관적으로 제시하는 것이다. 분석 대상은 2010년 1월 1일부터 2022년 6월 10일까지 기간을 설정한 후, '교육감'과 '직선제' 2개의 용어가 모두 포함된 국내 54개 주요 언론사 뉴스 기사들(5,610건)이다. 본 연구에서는 뉴스 빅데이터 분석시스템인 빅카인즈(BIGKinds) 서비스를 적극적으로 이용하여 뉴스 트렌드 분석, 네트워크(관계도) 분석, 연관어 분석 등을 진행하였다. 본 연구자료는 관련 학문 연구자와 교육 현장 종사자들에게 시사점을 줄 수 객관적인 자료로 활용될 것이다. 본 연구는 향후 지방교육자치와 교육감 선거의 발전적 모델 탐색을 위한 다양한 연구 과정으로 확대 전개하고자 한다.

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A Study of the Attributes of Local Reader: Differences among Three Kinds of Reader Groups (신문 열독 유형별 지방 독자의 속성 연구: 중앙지 독자, 지방지 독자, 병독자에 관한 탐색)

  • Park, Jae-Yung;Joe, Su-San
    • Korean journal of communication and information
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    • v.27
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    • pp.123-151
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    • 2004
  • This study explores the attributes of local readers based on a discriminant analysis. Local readers are divided into three groups national newspaper reader, local newspaper reader, and national & local newspaper reader. A nationwide telephone survey was conducted in june, 2004 and gathered 2,063 cases. News subject and advertising appeared to play less important role in distinguishing among the three group examined. The most powerful discriminating variables were residence area and period of residence area. Education, interest of capital city news, job were found to be moderately important variables on Function 1, which distinguished between local newspaper reader and national & local newspaper reader. Generally, local newspaper reader showed higher interest on capital area news and lower interest on metropolitan area news. However, the result of a discriminant analysis indicated local newspaper reader was distinguished from national newspaper reader in terms of higher interest of metropolitan area news. Simultaneously, local newspaper reader was distinguished from national & local newspaper in terms of lower interest of capital area news.

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