• Title/Summary/Keyword: Journal Content Analysis

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Analyzing OTT Interactive Content Using Text Mining Method (텍스트 마이닝으로 OTT 인터랙티브 콘텐츠 다시보기)

  • Sukchang Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.859-865
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    • 2023
  • In a situation where service providers are increasingly focusing on content development due to the intense competition in the OTT market, interactive content that encourages active participation from viewers is garnering significant attention. In response to this trend, research on interactive content is being conducted more actively. This study aims to analyze interactive content through text mining techniques, with a specific focus on online unstructured data. The analysis includes deriving the characteristics of keywords according to their weight, examining the relationship between OTT platforms and interactive content, and tracking changes in the trends of interactive content based on objective data. To conduct this analysis, detailed techniques such as 'Word Cloud', 'Relationship Analysis', and 'Keyword Trend' are used, and the study also aims to derive meaningful implications from these analyses.

Content Analysis of Mother's Role in Korean Biographies (우리나라 위인전에 나타난 어머니 역할 내용분석)

  • Kim, Young-Joo
    • Journal of Families and Better Life
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    • v.27 no.2
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    • pp.243-254
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    • 2009
  • The purpose of this study was to investigate the mother' role appeared in Korean biographies. The method used for this study was the content analysis of the context related with mothering in Korean biographies. The categories for content analysis were pregnancy-delivery, nurturing, teaching, disciplining, interfacing between home and social institutions and counselling. It was found that the most frequent mother' role appeared in Korean biographies was nurturing role such as to care development, health and hygiene of children. And the second frequent mother's role in Korean biographies was disciplining role such as to internalization of social roles. The third role was teaching. These results have been discussed in the light of former studies, and the limits of study method also have been discussed.

The Network Characteristic Analysis of Research Projects on International Research Cooperation

  • Noh, Younghee;Kim, Taeyoun;Chang, Rosa
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.4
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    • pp.75-98
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    • 2018
  • In this study, the network analysis of researchers, institutions, and research principal agent was conducted to understand structure characteristics of international cooperation research project implemented from 1997 to 2018. The network of researchers and institutions were decentralized structure. On the other hands, the network of research principal agent was centralized structure. The Soul National University is the leading organization of international cooperation research project. In terms of research principal agent, corporation is the leading principal agent. In additions, the results of the network centroid analysis of the researchers and institutions were correlated with the research funds. As a result, it was confirmed that the network centroid of research organization was linearly related to research funds.

Social Network Analysis of Changes in YouTube Home Economics Education Content Before and After COVID-19 (SNA(Social Network Analysis)를 활용한 코로나19 전후의 가정과교육 유튜브 콘텐츠 변화 분석)

  • Shim, Jae Young;Kim, Eun Kyung;Ko, Eun Mi;Kim, Hyoung Sun;Park, Mi Jeong
    • Human Ecology Research
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    • v.60 no.1
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    • pp.1-20
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    • 2022
  • This paper presents a social network analysis of changes in Home Economics education content loaded on YouTube before and after the outbreak of COVID-19. From January 1, 2008 to June 30, 2021, a basic analysis was conducted of 761 Home Economics education videos loaded on YouTube, using NetMiner 4.3 to analyze important keywords and the centrality of video titles and full texts. Before COVID-19, there were 164 Home Economics education videos posted on YouTube, increasing significantly to 597 following the emergence of the pandemic. In both periods, there was more middle school content than high school content. The content in the child-family field was the most, and the main keywords were youth and family. Before COVID-19, a performance evaluation indicated that the proportion of student content was high, whereas after the outbreak of the disease, teacher content increased significantly due to the effect of distance learning. However, compared with video use, the self-expression and participation of users were lower in both periods. The centrality analysis indicated that in the title, 'family' exhibited a high degree of both centrality and eigenvector centrality over the entire period. Degree centrality of the video title was found to be high in the order of class, online, family, management, etc. after the outbreak of COVID-19, and the connection of keywords was strong overall. Eigenvector centrality indicated that career, search, life, and design were influential keywords before COVID-19, while class, youth, online, and development were influential keywords after COVID-19.

Development and Validation of Virtual Training Content Satisfaction Measurement Tool (가상훈련 콘텐츠 만족도 측정도구 개발 및 타당화)

  • Miseok Yang;Woocheol Kim;Ohyoung Kwon
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.1-11
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    • 2023
  • The purpose of this study is to develop and validate a tool that measures the satisfaction of virtual training learners' use of virtual training content. To this end, 491 copies of the basic questions derived from the satisfaction questions used by the K University Online Lifelong Education Center were used for the final analysis by conducting an online survey of learners who accessed STEP, the K University Online Lifelong Education Center portal. The 491 copies of data finally used were analyzed by methods such as basic question analysis, exploratory factor analysis, reliability analysis, and confirmatory factor analysis. First, in the basic question analysis, there were no questions that exceeded the acceptance criteria of an average of 4 points or more, skewness ±2, and kurtosis ±4. Second, the correlation coefficient for each sub-factor of virtual training content satisfaction derived after exploratory factor analysis was good as r=.682 to .822 (p<.01). The reliability coefficient for each sub-factor is content .849, content utilization .922, System and Operations Support .841, Intention to Continue Utilization .920, the overall reliability is. It was very high at .956 Fifth, as a result of confirmatory factor analysis, the compositional conceptual diagram is. It was .842 to .926, higher than the recommended standard of .7, and the average variance extraction degree. It appears to be .640 to .796, higher than the recommended standard of .5, which can be seen as representative of each constituent concept. As a result of verifying the validity of virtual training learners' content satisfaction recruitment, four factor models were derived: content substance, content utilization, system and operation support, and intention to continue use. This study is meaningful in that it empirically developed a tool to measure content satisfaction of virtual training learners and provided a reference frame and criteria.

Marketability analysis and commercialization methodology analysis system using big dataof Digital Policy & Management (빅데이터를 활용한 시장분석 및 사업화방법론 분석시스템)

  • Yong-Ho Kim;Hyung-Beom Park
    • Journal of Digital Convergence
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    • v.21 no.2
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    • pp.27-32
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    • 2023
  • This study is about a marketability analysis and commercialization methodology analysis system using big data, and a marketability analysis and commercialization methodology analysis system that can analyze the marketability of the product based on a content channel capable of viral marketing. The marketability analysis and commercialization methodology analysis system using big data according to this study analyzes the marketability of the products to be analyzed by analyzing the marketing content provided on the content channel, so it has the advantage of determining more accurate viral marketing effects on the products to be analyzed.

Effect of a Aggregate Moisture Content on Aggregate Gradation Analysis (비 절건상태 골재의 함수비가 골재입도분석 결과에 미치는 영향)

  • Kim, Nam-ho;Ji, Hyeong-jun;Yang, Hong-seok;Jeon, Sun-je
    • Journal of Practical Engineering Education
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    • v.13 no.3
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    • pp.559-566
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    • 2021
  • The aggregate gradation analysis is a study that evaluates the accuracy of a specific purpose for the aggregate gradation analysis results essential for construction-related major education. This study is to evaluate the effect of aggregate moisture content on aggregate gradation analysis. The change in the moisture content of the aggregate stored in the asphalt plant cold bin and stock piles was monitored for one year, and based on the results, a sample of aggregate with different moisture content was produced. The gradation curve for each aggregate sample was analyzed to evaluate the effect of aggregate moisture content on aggregate gradation analysis. As a result of the gradation evaluation, it was confirmed that as the moisture content increased, the particle size error for particles less than 5 mm increased in the gradation analysis of the oven-dried aggregate, and this error increased as the particle size decreased. In addition, for aggregate particles of 5 mm or more, it was confirmed that the error in gradation analysis rapidly decreased due to the increase in the moisture content. An analysis was performed on the effect of the error in gradation analysis on the management of hot-bin aggregates in asphalt plants. As a result of the analysis, it was found that the minimum aggregate size of the first hot-bin in a general asphalt plant was 2.38 mm or more, so the maximum gradation error due to the non oven-dry aggregate was less than 2%. Therefore, it seems possible to use the results of the gradation analysis of cold bin non oven-dry aggregate for quality management of asphalt mixture production.

A Comparative Content Analysis on the Journal of International Marketing: A Study of Ten Years (2004-2013)

  • Shin, Dong-Jin
    • Journal of Distribution Science
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    • v.12 no.5
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    • pp.81-92
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    • 2014
  • Purpose - This paper aims to investigate topics and trends in international marketing and cross-cultural management by conducting a content analysis of the Journal of International Marketing. Research Design, Data, and Methodology - In this study, one of the leading journals in the field of international marketing, the Journal of International Marketing, was chosen for research. A total of 199 articles were identified from a time span of ten years (2004-2013). SPSS software was used for codification and analysis of the data. Results - This study revealed some of the factors on which cross-cultural management had a strong correlation with international marketing. Of the 199 articles in the Journal of International Marketing, 64 articles related to cross-cultural management. Conclusions - A content analysis of the Journal of International Marketing comparing general articles with articles related to cross-cultural management is unprecedented. This study offers insight into the impact of cross culture on the discipline of international marketing. The findings of this research could be employed as a reference for gaining insight into the trends and influence of cross-cultural management in international marketing.

Web contents-comparative analysis: Online shopping agencies that retail foreign apparel

  • Kim, Sung-Hee
    • Journal of Fashion Business
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    • v.13 no.6
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    • pp.99-110
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    • 2009
  • The purpose of this study is 1) to investigate the Web content of online shopping agencies and to see if differences exist in their contents and 2) to suggest strategies for online shopping agencies. For the study, the online shopping agency components of web sites were investigated, which consisted of product, information, and customer service. Each component had sub-categories. In order to analyze the Web content of online shopping agencies, nine agencies were chosen based on the rankings of www.rankey.com and www.100hot.co.kr. The content analysis was conducted from January 5th to the 30th of 2009. The results showed that the basic Web content of online shopping agencies (i.e., product, information, and customer service) was evident on most sites. However, products were similar and effective information and labor-saving functions were sparsely used. Areas where customers actively participated were limited. Therefore, most sites need to reinforce their content by providing a well-articulated product, information, and customer service for shoppers and to differentiate their Web site identities.

Guidance offered to teachers in curriculum materials for engaging students in proof tasks: The case of Korean grade 8 geometry

  • Hangil Kim
    • Research in Mathematical Education
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    • v.27 no.2
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    • pp.195-210
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    • 2024
  • Researchers and curricula continue to call for proof to serve a central role in learning of mathematics throughout kindergarten to grade 12 and beyond. Despite its prominence and recognition gained during past decades, proof is still a stumbling block for both teachers and students. Research efforts have been made to address issues related to teaching and learning of proof. An area in which such research efforts have been made is analysis of curriculum material (i.e. textbook analysis) with a focus on proof. This study is another research effort in this area of research through investigating the guidance offered in curriculum materials with the following research question: What is the nature (e.g., kinds of content knowledge, pedagogical content knowledge) of guidance is offered for teachers to implement proof tasks in grade 8 geometry textbooks? Results indicate that the guidance offered for proof tasks are concerned more with content knowledge about the content-specific instructional goals than with pedagogical content knowledge which supports teachers in preparing in-class interactions with students to teach proof.