• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2101-2121
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• 2020

The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.383-402
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• 2016

The purpose of this study is to study library marketing research trends in Korea and other countries through the analysis of author keyword network of peer-reviewed journal articles. The author keyword was collected from four major LIS journals in Korea and Scopus academic database for other countries'. The data was analyzed using NetMiner4 software. The results of the study were as follows: 1) In Korea, lots of library marketing studies focused on public libraries. However, there was a range of library marketing researches focused on academic libraries in other countries, 2) In Korea, there was not a variety of subjects of library marketing studies and the studies were mainly led by a few scholars, 3) In other countries, many scholars paid attention to digital library marketing through social media and/or web, and 4) there little library marketing studies focused on school libraries both in Korea and other countries.

• The Korean Journal of Food And Nutrition
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• v.20 no.4
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• pp.516-524
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• 2007

This study was conducted to evaluate contract foodservice's websites. The survey sample consisted of students majoring in food and nutrition having good knowledge of foodservice. The questionnaire requested information related to demographics, internet usage, contract foodservice company websites, and the evaluation of the websites. The data were analyzed using SPSS for windows(version 12.0). The results are summarized as follows. From the results of the factor analysis in evaluating the contract foodservice's websites, 7 factors were generated and were defined as technology & interactivity, customer service, interface, design & convenience, contents, communication, and offering of information. Of these, technology & interactivity(p<0.05), customer service(p<0.01), interface(p<0.05), design & convenience(p<0.001), content(p<0.01), communication(p<0.01), and offering of information(p<0.01) had a significant effects in terms of the on satisfaction with a website. Since the beta of the "design & convenience" factor(0.319) was the largest, it had the greatest effect on satisfaction. In the importance performance analysis, the respondents showed high recognition on the importance, but low recognition on the performance, of aspects such as menu composition, attraction of the website, offering a FAQ section, and the operation of Q&A. Also, the importance score for 'offered relevant websites' was significantly higher than the performance score. Therefore, contract foodservice companies should take into account these aspects for improving their websites.

• The Journal of the Acoustical Society of Korea
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• v.23 no.5
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• pp.390-399
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• 2004

In this paper, we design and implement a multiple-view VoiceXML editor to improve editing efficiency of the VoiceXML. The VoiceXML multiple-view Editor uses a MVC framework to support multiple views and paradigm. Our multiple-view editor consists of Model. View and Controller using MVC framework. A model, core data structure. is constructed of abstract syntax tree and abstract grammar. A view. user interface. is formalized in unparsing rules and unparser. A controller. to control model and view. is made of command interpreter and tree handler. The VoiceXML multiple-view editor overcomes a drawbacks of existing XML editors by showing document structure and context concurrently. as well as document flows. Our VoiceXML multiple-view editor. which MVC framework has been applied, provides various editing views concurrently to users. Thereby. it supports efficient and convenient editing environments for voice-web documents to users and it guarantees transparency of editors. as various views have a same consistent model.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.19-33
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• 2009

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through the reviews. Product Reviews are results expressing customer's sentiments and thus are divided into positive reviews and negative ones. However, as the number of reviews in on-line shopping increases, it is inefficient or sometimes impossible for users to read all the relevant review documents. In this paper, we present a sentiment analysis algorithm for automatically classifying subjective opinions of customer's reviews using opinion mining technology. The proposed algorithm is to focus on product reviews of on-line shopping, and provides summarized results from large product review data by determining whether they are positive or negative. Additionally, this paper introduces an automatic review analysis system implemented based on the proposed algorithm, and also present the experiment results for verifying the efficiency of the algorithm.

• The Research Journal of the Costume Culture
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• v.22 no.4
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• pp.619-631
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• 2014

This study proposes an educational direction to be followed by the clothing departments of Korea's specialized high schools in order to help achieve high levels of job placements and to strengthen their students' competitiveness. A comparison was made of the curricula in Korea's specialized high schools and in several fashion schools in other countries including the United States, Italy, France, Taiwan, and Japan. To this end, publicly available educational records were retrieved from domestic school documentation, vocational high school portals, and domestic/overseas school web sites, and were then reviewed. The archival data extracted from these sources shows that the curricula of the three chosen domestic schools uniformly focus on foundational courses such as general computer skills, general design, accounting principles, design principles, and drawing, as well as practical courses such as the design of western clothing, fashion design, fashion CAD, management of clothing material, design of Korean clothing, and knitting. Unlike these standardized courses, it was found that overseas fashion schools provide a more technically-advanced and design-focused education based on the interests of the individual student. Moreover, their education system nurtures the students' creativity through adequate field experience and history/language education. The findings of this study suggest that Korean specialized high schools should find a way to accommodate their students' interests and to provide them with personalized fashion education by adopting a more flexible curriculum. An educational line that considers the individual student's aptitudes and career path will help foster creativity and novel ideas, which, in turn, will contribute to the development of the fashion industry.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.63-71
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• 2011

The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

• The Journal of Korean Association of Computer Education
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• v.14 no.3
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• pp.13-23
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• 2011

Information Culture Index (ICI) is the quantitative value that represents people's information literacy levels. Also, it diagnoses the people's knowledge, ethics, emotion, and practice synthetically. As the Internet and cell phone addiction have been increasing when people access information on the web recently, it is necessary to analyze the meaning of the ICI from the Internet and cell phone addiction perspectives and to confirm if it goes well in the right direction. In this paper, we analyze the characteristics of the people who have high ICIs. At the same time, we perform the statistical analysis combining ICIs with the Internet and the cell-phone addiction levels. In particular, the meaning of the Information Practicing factor, which is one of the ICI factors, is examined. By doing these, we confirm if the current ICI works correctly or not, and propose a better way for measuring ICIs. In order to do these, we survey and analyze data with basic statistical methods and structural equation model.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.219-225
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• 2015

There has been an exponential growth in the distribution and possession of sensitive information because of the emergence of various information channels such as smart devices, social media, etc. This enables the internet based web or mobile service operation institutions collecting the more personal information with ease, and in turn causes the issues of the privacy concerns. Followings are the results of this study: First, the information privacy concern has the negative effects upon the trust. Second, the information privacy concern has the negative effects upon the provision intention of personal information and the trust has positive effects upon the offering intention of personal information. At last, the offering intention of the personal information has the positive effects upon the behavior to provide the personal information.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.9-16
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• 2011

GPU computing is emerging in high performance application area since it can easily exploit massive parallelism in a way of cost-effective computing. The power method which finds the eigen vector of a given matrix is widely used in various applications such as PageRank for calculating importance of web pages. In this research we made the power method efficiently parallelized on GPU and also suggested how it can be improved to enhance its performance. The power method mainly consists of matrix-vector product and it can be easily parallelized. However, it should decide the convergence of the eigen vector and need scaling of the vector subsequently. Such operations incur several calls to GPU kernels and data movement between host and GPU memories. We improved the performance of the power method by means of reduced calls to GPU kernels, optimized thread allocation and enhanced decision operation for the convergence.