• 한국노년학
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• v.30 no.1
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• pp.31-47
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• 2010

The purpose of this study is to analyze communication topics in Journal of Korean Gerontological Society from 1980 to 2009. Out of all published over one thousand articles, 54 articles were selected by content analysis. The published time, the number of authors, the author's institutions, type of communication and media, methodologies, and so on were analyzed for this study. The conclusion of this study are as follows; First, the articles regarding on communication published only one throughout in 1980's. However, the articles have been gradually published since 1990's. Second, the authors came mainly from universities especially those who are engaged in social welfare field. Third, the types of communication are concentrated on group communication. Interestingly enough, it is found that mass communication such TV, magazine, and internet were analyzing in-depth. Telephone is one of most important mediated human communication media. On the contrary, mobile phone and computer were researched on not for the usage but for the education purposes. Forth, in methodologies, authors are used mainly survey method and selected content analysis in all media research. In conclusion, the scholars of gerontology and communications should co-operate and help each other to promote aging and communication field.

• Journal of The Korean Association For Science Education
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• v.41 no.6
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• pp.455-470
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• 2021

This study examines the trend changes in keywords and topics of STEAM education from 2009 to 2020 to derive future development direction and education implications. Among the collected data, 42 cases of Ministry of Education's documents, 1,534 cases of articles, and 880 cases of abstract of researches were selected as research subjects. Keyword analysis, keyword network and topic modeling were performed for each stage of STEAM education policy through the Python program. As a result of the analysis, according to the STEAM education policy stage, there were differences in the frequency and network of keywords related to STEAM education by media. It was confirmed that there was a difference in interest in STEAM education policy as there were differences in keywords and topics that were mainly used importantly by media. Most of the topics of the Ministry of Education's documents were found to correspond to topics derived from articles. The implications for the development direction of STEAM education derived from the results of this study are as follows: first, STEAM education needs to consider ways to connect multiple topics, including the humanities. Second, since the media has a difference in interest in STEAM education policy, it is necessary to seek a cooperative development direction through understanding this. Third, the Ministry of Education's support for core competency reinforcement and convergence literacy for nurturing future talents, the goal of STEAM education, and the media's efforts to increase the public's understanding of STEAM education are required. Lastly, it is necessary to continuously analyze the themes that will appear in the evaluation process and change STEAM education policy.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.339-348
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• 2022

Blended Learning is one of the most popular methods in education for encouraging active learning and improving student learning effectiveness, and it is regarded as one of the most effective methods for universities to attract students. Based on the cultural dimension theory, this paper examined blended learning research trends in both South Korea and China, which are culturally similar but also differ. The research methods include keyword analysis and visualization. Academic papers on blended learning indexed by WoS, KISS, and CNKI from 1990 to June 2022 were collected and analyzed. According to the findings, since the outbreak of COVID-19, the common research topic of blended learning has been subdivided by forming clusters in various research fields. Korea and China exhibit similarities to global research trends while exhibiting differences based on cultural background. The cultural dimension theory-based analysis reveals a common pattern that is especially long-term oriented. The findings can suggest significant implications for designing what role national culture plays in forming patterns of education and research and for developing blended learning with effective impacts in a multicultural educational environment.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.278-291
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• 2016

This study examined research trends via network analyses of keywords appeared in academic research articles about news reports in South Korea during the last 10 years from 2006 to 2015. Keyword network analyses of 4410 keywords from 1108 articles suggested that framing, agenda setting, third-person effect, selective exposure, and uses and gratification were main theories but most studies used framing theory. Research areas included news reports on politics, economics, science, world issues, or tour. However, research on news reports covering culture, sports or daily life were not identified. In terms of media, research on both traditional and emerging media were ample. Research on broadcasting new, online news, and social media were frequently observed.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.193-197
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• 2021

The pandemic situation caused by COVID-19 has a large and small impact on our society socially, economically, psychologically, and other aspects. In order to prevent the spread of COVID-19, various countries, including Korea, have entered into long-term home care and distance learning systems. However, distance learning experiments conducted in many countries have raised whether face-to-face education can be replaced by distance learning. Therefore, in this study, public opinion, social perception, and field trends were analyzed based on media reports on distance learning. For this purpose, 2,600 articles from 11 newspapers and four broadcasters related to distance learning were collected in this study. Based on this data, keyword trend analysis, topic modeling analysis, sentiment analysis were performed.

• Electronics and Telecommunications Trends
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• v.20 no.5 s.95
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• pp.93-104
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• 2005

현재 우리나라에서 가장 주목받고 있는 분야가 IT와 BT일 것이다. IT는 워낙 언론매체에 많이 노출되어 어떤 것을 말하고 어떤 분야가 있다는 것을 많은 사람들이 잘 알고 있는 실정이나, BT 관련해서는 단순히 시험관을 연상하는 사람이나 줄기세포 연구 정도로 알고 있는 사람들이 많을 것이다. 현재의 BT 분야는 예전의 소규모 실험을 벗어나 대규모의 실험 수행이 가능한 시스템이 구축되었는데, 이러한 대규모 실험 결과를 분석하기 위한 정보학적인 방법의 도입이 필수적인 시대가 되었다. 그래서, 이런 접근방법을 통상 IT와 BT의 융합기술이다라고 이야기한다. 바이오 정보 기술이란 이런 대규모의 생물학적 데이터를 시스템적으로 분석하여 정보를 추출하는 제반 기술이라고 이야기 할 수 있다. 일반적으로 많이 알려진 용어로는 생물정보학(바이오인포매틱스)혹은 계산생물학이 있다. 더 넓은 의미에서 이야기 할 때는 이러한 정보 추출을 위한 분석 과정뿐만 아니라, 생물학 관련 데이터베이스 구축 및 서비스 부분도 포함해서 이야기하고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.639-641
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• 2014

근래에 계속 되는 이상기후현상과 대기오염에 관한 언론의 보도로 환경보호에 대한 관심이 그 어느 때 보다 높다. 지구온난화와 대기오염의 원인으로 지목되는 것 중 하나가 자동차 배기가스이며 고유가와 환경오염 등의 이유로 친환경 자동차의 생산필요성이 점점 더 커지고 있다. 이런 세계적 추세에 대응하기 위해 국내외 자동차산업업계에서는 친환경 자동차 연구에 매진하고 있다. 본 연구에서는 특허분석을 통하여 친환경 자동차 중 하나인 하이브리드 자동차의 국내외 기술연구동향을 파악하고 기술대응전략을 제안하도록 한다.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.575-583
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• 2021

This study aims to analyze Taekwondo trends according to news articles by year by applying topic modeling. In order to examine the Taekwondo trend through media reports, articles including news articles and Taekwondo specialized media articles were collected through Big Kinds of the Korea Press Foundation. The search period was divided into three sections: before 2000, 2001~2010, and 2011~2020. A total of 12,124 items were selected as research data. For topic analysis, pre-processing was performed, and topic analysis was performed using the LDA algorithm. In this case, python 3 was applied for all analysis. First, as a result of analyzing the topics of media articles by year, 'World' was the most common keyword before 2000. 'South and North Korea' was next common and 'Olympic' was the third commonest topic. From 2001 to 2010, 'World' was the most common topic, followed by 'Association' and 'World Taekwondo'. From 2011 to 2020, 'World', 'Demonstration', and 'Kukkiwon' was the most common topic in that order. Second, as a result of analyzing news articles before 2000 by topic modeling, topics were divided into two categories. Specifically, Topic 1 was selected as 'South-North Korea sports exchange' and Topic 2 was selected as 'Adoption of Olympic demonstration events'. Third, as a result of analyzing news articles from 2001 to 2010 by topic modeling, three topics were selected. Topic 1 was selected as 'Taekwondo Demonstration Performance and Corruption', Topic 2 was selected as 'Muju Taekwondo Park Creation', and Topic 3 was selected as 'World Taekwondo Festival'. Fourth, as a result of analyzing news articles from 2011 to 2020 by topic modeling, three topics were selected. Topic 1 was selected as 'Successful Hosting of the 2018 Pyeongchang Winter Olympics', Topic 2 was selected as 'North-South Korea Taekwondo Joint Demonstration Performance', and Topic 3 was selected as '2017 Muju World Taekwondo Championships'.

• The Korean Journal of Pesticide Science
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• v.15 no.4
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• pp.434-440
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• 2011

In order to establish the guidance of management and safe use hazard substance, trend analysis of hazard substance in/on agricultural products reported by press for 5 years (2005-2009) was performed. Data for the analysis collected from the articles about hazard substances from web portals, newspapers and so on. The mostly detected harmful factors in/on agricultural products were pesticides residue and heavy metals by the reports by press for last 5 years. The number of detected pesticides was slightly increased from 14 to 34 through the passage of time but the number of cases reported by press was not increased. On the other hand, the number of accidents and reports related to heavy metals were highly increased from 3 to 13 and 42 to 112, respectively. 65 pesticides including chlorpyrifos were detected in domestic agricultural products for the 5 years. Frequently detected pesticides were chlorpyrifos, endosulfan, carbendazim, azoxystrobin, and procymidone. Pesticide residues were repeatedly detected on green vegetables such as a green perilla leaf, a lettuce, a leek, and spinach among crops.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.548-557
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• 2021

The purpose of this study was to determine the statistical usefulness of using atypical text data collected from media that are easy to collect to overcoming limits of the existing data related to economic activities of disabled people. In addition, by performing semantic network analysis, major issues by period that could not be grasped by statistical analysis were also identified. As a result, semantic network analysis revealed that the initiative of the public sector, such as the central and local government bodies, was strongly shown. On the other hand, in the private purchase sector, it was also possible to confirm the consumption revitalization trend and changes in production activities in the recent issue of Covid-19. While the term "priority purchase" had a statistically significant relation with the other two terms "vocational rehabilitation" and "employment for the disabled". For the regression results, while the term "priority purchase" had a statistically significant association with the other two terms "vocational rehabilitation" and "employment for the disabled". Further, some statistical analyses reveal that keyword data taken from media channels can serve as an alternative indicator. Implications for issue detection in the field of welfare economy for the disabled is also discussed.