• Journal of Fisheries and Marine Sciences Education
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• v.19 no.3
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• pp.457-466
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• 2007

This study is to analyze literacy textbooks for adult learners developed by adult literacy education institutes. In the study, six different kinds of literacy textbooks are collected and analyzed on the basis of five evaluation criteria.: unit organization, presentation way of Hangeul, type of content, level of content, and degree of subject integration. The results of literacy textbook analysis are as follows. First, literacy textbooks carry different forms of unit organization in different textbooks. Most textbooks are composed of lessons, without a hierarchical organization of lessons, whereas some textbooks carry a hierarchical structure of 'unit + lessons'. Second, Hangeul is mostly presented in the form of reading and writing and literacy textbooks tend to present Hangeul as constructing letter through combining vowels and consonants rather than as whole language. Third, literacy textbooks contain life-adjustment situations which would help adult learners to lead everyday lives more efficiently. Fourth, literacy textbooks carry different levels of educational content, ranging from 'basic Hangeul' through 'expanded content' to high level of Hangeul writing. Fifth, literacy textbooks appear to integrate educational content from different subjects in order to provide more relevant content for adult learners.

• 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.

• The Journal of the Acoustical Society of Korea
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• v.26 no.3E
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• pp.74-79
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• 2007

In this paper, we report our recent work on a indexing and retrieval system of broadcast news using audio content analysis. Key issues addressed in this work are two major parts of the audio indexing system: anchorperson detection based on audio segmentation, and phone-based spoken document retrieval, developed in the framework of the emerging MPEG-7 standard. Experiments are conducted on a database of Britisch broadcast news videos. We discuss the development of the retrieval system, and the evaluation of each part and the retrieval system.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• Journal of Distribution Science
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• v.20 no.5
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• pp.65-74
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• 2022

Purpose: This paper evaluates which characteristics of marketing communication content distributed on social networks impact electronic word-of-mouth (e-WOM). Research design, data, and methodology: Quantitative research was carried out on 637 Vietnamese people aged from 18, who were exposed to marketing communication programs of fashion brands. Preliminary data were analyzed by the reliability of the scale, multivariate regression analysis, and analysis of variance. Results: The research findings have identified the four characteristics of social media content that positively impact e-WOM, including entertainment, interaction, trendiness, and customization. Participants aged 30 and under have a higher appreciation for media content and e-WOM than those from 31 and over. Conclusion: To promote e-WOM, marketing communication content distributed on social networks should focus on the following characteristics: (1) The entertainment of marketing communication content should involve positive emotions, fun, and enjoyment; (2) With interactive content, focus should be placed on discussion and exchange content, content that encourages sharing, and two-way interactive content; (3) For trending marketing communication content, marketers consider communicating brand-related latest information, up-to-date information, and hot discussion topics; and (4) When creating customized content, brands should be interesting, customized (information, product, price), and unique.

• Journal of Distribution Science
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• v.12 no.7
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• pp.63-75
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• 2014

Purpose - This study analyzes topics discussed in the International Journal of Consumer Studies through a content analysis, to reveal the impact of cross-cultural management in consumer research. Research Design, Data, and Methodology - The International Journal of Consumer Studies has the highest impact factor among international consumer journals, and was chosen for research. This study investigated 712 articles, covering a ten-year period. Results - A total of 82 articles were found to be related to cross-cultural management, out of 712 articles. This shows a need for improvement in the area of cross-cultural management, and implies that the discipline of cross-cultural management will continue to have a significant impact on consumer studies. Conclusions - While content analyses have been conducted in the area of consumer research in the past, a comparative content analysis in the International Journal of Consumer Studies is unprecedented. This study offers insights on the comparative analysis of general articles and articles related to cross-cultural management, which will be useful reference points for future global markets and fields in distribution and consumer research.

• 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.

• 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.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.75-100
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• 2018

Mobile devices have become an important channel for news content usage in our daily life. However, online news content readers' resistance to online news monetization is more serious than other digital content businesses, such as webtoons, music sources, videos, and games. Since major portal sites distribute online news content free of charge to increase their traffics, customers have been accustomed to free news content; hence this makes online news providers more difficult to switch their policies on business models (i.e., monetization policy). As a result, most online news providers are highly dependent on the advertising business model, which can lead to increasing number of false, exaggerated, or sensational advertisements inside the news website to maximize their advertising revenue. To reduce this advertising dependencies, many online news providers had attempted to switch their 'free' readers to 'paid' users, but most of them failed. However, recently, some online news media have been successfully applying the Pay-What-You-Want (PWYW) payment model, which allows readers to voluntarily pay fees for their favorite news content. These successful cases shed some lights to the managers of online news content provider regarding that the PWYW model can serve as an alternative business model. In this study, therefore, we collected 379 online news articles from Ohmynews.com that has been successfully employing the PWYW model, and analyzed the comparative importance of systematic attributes of online news content on readers' voluntary payment. More specifically, we derived the six systematic attributes (i.e., Type of Article Title, Image Stimulation, Article Readability, Article Type, Dominant Emotion, and Article-Image Similarity) and three or four levels within each attribute based on previous studies. Then, we conducted content analysis to measure five attributes except Article Readability attribute, measured by Flesch readability score. Before conducting main content analysis, the face reliabilities of chosen attributes were measured by three doctoral level researchers with 37 sample articles, and inter-coder reliabilities of the three coders were verified. Then, the main content analysis was conducted for two months from March 2017 with 379 online news articles. All 379 articles were reviewed by the same three coders, and 65 articles that showed inconsistency among coders were excluded before employing conjoint analysis. Finally, we examined the comparative importance of those six systematic attributes (Study 1), and levels within each of the six attributes (Study 2) through conjoint analysis with 314 online news articles. From the results of conjoint analysis, we found that Article Readability, Article-Image Similarity, and Type of Article Title are the most significant factors affecting online news readers' voluntary payment. First, it can be interpreted that if the level of readability of an online news article is in line with the readers' level of readership, the readers will voluntarily pay more. Second, the similarity between the content of the article and the image within it enables the readers to increase the information acceptance and to transmit the message of the article more effectively. Third, readers expect that the article title would reveal the content of the article, and the expectation influences the understanding and satisfaction of the article. Therefore, it is necessary to write an article with an appropriate readability level, and use images and title well matched with the content to make readers voluntarily pay more. We also examined the comparative importance of levels within each attribute in more details. Based on findings of two studies, two major and nine minor propositions are suggested for future empirical research. This study has academic implications in that it is one of the first studies applying both content analysis and conjoint analysis together to examine readers' voluntary payment behavior, rather than their intention to pay. In addition, online news content creators, providers, and managers could find some practical insights from this research in terms of how they should produce news content to make readers voluntarily pay more for their online news content.

• 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.