• Journal of Digital Contents Society
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• v.8 no.3
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• pp.289-300
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• 2007

Recently, the number of People who want to study by online has been gradually increased. In addition, people's desire is increasing that represents their special knowledge and personality with new paradigm of UCC(User Created Contents). Most of the educational web-sites offer currently boring and unified educational contents without interesting objects. Therefore I want to solve these problems of existing online educational web-sites and I strongly propose the method of design to make the place educational and useful that everyone can enjoy and manifest the user's dispositions. On this study, it's possible to make pleasant environment and improve educational effects on cyber space by designing it in accordance with the individual tastes which have various design elements, beauties and facilities by the customized design method. As a result, this study proposes the model of online educational web-site having various interfaces and focusing on the customized design.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.293-300
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• 2020

With constant relaxation of regulations by the government in the 4th industrial innovation era, it has brought huge changes to the education environment as it has created solutions to hindrance factors against introduction of the cloud. Universities are getting more interested in the introduction of the cloud Computing but they still remain at the level of recognition diffusion and creating ambience. The study has analyzed empirical factors of the effect of introduction of the successful case "K Cyber University's Construction of Cloud-Based Remote Education System" through the previous studies on trait factors affecting the introduction of the cloud computing and the analysis of factors in terms of expandability, agility, compatibility, economic feasibility, security, stability and institutional support. Factors drawn through this are meaningful for empirical studies on presenting strategies and the directivity to introduce the cloud computing successfully. This study can be used as the background for further studies which will require various factors prior to introducing the cloud computing.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.444-453
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• 2010

The Knowledge and information are rapidly built through networks; and, through this, epochal changes and developments are reoccurring in diverse societal economic cultural ways. Especially, digital-education emerging together with educational environment changes is taking its place as an educational system which will be able to replace traditional education methods by overcoming the limitations of time and space held by present education methods. The role of GUI(Graphic User Interface) design, which adds user cognitive power and convenience as a method of purveying innumerous information, is growing. Consequently in this research, through the analysis of educational contents utilized in public organizations, research is performed regarding an educational content design for a more effective education of learners.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.53-60
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• 2017

The time of digital era and the increasing complexity of the management environment have raised uncertainties about the future. Companies have made steady investments in education as a way to prepare for the future. In this study, design and development methodology based on web - based management simulation games (manufacturing, distribution, finance) which author participated in development was presented. The development methodology presented in this study can be roughly divided into business simulation game design methodology and business simulation game development methodology. Since there is no existing research methodology for development methodology, development model is presented based on empirical based on development case. In this paper, we propose an overall content development methodology and propose a detailed methodology of the content.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.2
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• pp.53-78
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• 2015

As archivists are professional who is responsible for professional works related in archives, they are required to perform expanded roles including traditional roles in changed environment surrounding archives. To solve those requirements, reeducation program can be essential for improving archivists expertise. However, as compared with education quality and programs for professional improvement required to archivists, reeducation program currently offered in National Archives of Korea is inadequate to deal with performing the extended roles required to archivists. This study analyzed the current situation and problem of reeducation program currently offered in National Archives of Korea, as compared to domestic and foreign reeducation programs, and surveyed archivists' opinion about requirements to perform their extended roles in practice. Based on the results, this study improved a reeducation program in National Archives in Korea.

• Journal of the Korean Dietetic Association
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• v.14 no.3
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• pp.276-290
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• 2008

This study examined mothers' perceptions on nutrition education for elementary school students according to demographical factors. Questionnaires were distributed to the mothers of 511 elementary school students in the Busan area. According to the results, 50% of the respondents felt that the preschool years or the lower elementary grades were proper times to start nutrition education. Furthermore, they preferred school dietitians (55.4%), outside professional dietitians (16.3%), nurse teachers (13.8%), class room teachers (11.7%), and parents (2.8%) as nutrition educators. The mothers who were college and university graduates had significantly (p<0.001) higher scores regarding the necessity of nutrition education for student growth when compared to mothers who were high schools graduates. However, the high school graduates had significantly (p<0.001) higher scores than the college and university graduates with respect to nutrition education for correcting obesity. The order of importance for nutrition education curriculum content was as follows: eating habits, food safety, health and disease, maintaining ideal body weight, food waste and environment, basic food knowledge, and traditional foods. The college and university graduates, and those of 'A' group schools, had significantly (p<0.001) higher importance scores for proper eating habits. Mothers having experience with nutrition education comprised 43.9% of the subjects, and there was a significantly (p<0.05) higher percentage of employed mothers as compared to unemployed. Eighty-six percent of the respondents wanted to receive nutrition education. For more effective learning, they preferred in-person group education rather than correspondence education using e-mails or printed materials from schools.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.3
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• pp.426-439
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• 2015

Purpose: The purpose of this study was to identify the core competencies of nursing students and to improve competency-based nursing education. Methods: A triangulation method was used. A literature review and focus group interviews (FGI) were used to identify nursing core competencies. The present level of nursing competencies of students was identified through the nursing core performance questionnaire. Results: 1) Nursing core competencies, including 23 different competencies, were categorized into seven areas through a literature review and qualitative research. These competencies included: desirable personality, attitude & interpersonal skills, professionalism, nursing knowledge & basic nursing skills, ability to cope with nursing situations, basic ability in nursing research, coping ability with changes in the healthcare environment, and leadership. 2) Core nursing skills, nursing research, and nursing leadership were the three lowest ranking competencies. Some courses in the curriculum were to be newly established in an e-learning system, student's portfolio in non-curriculum. Conclusions: Further research is needed in order to show effects of the changes. Changes after applying the strategy of a nursing education program will be measured. Continuous research in competency-based nursing education is needed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• Communications of Mathematical Education
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• v.23 no.3
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• pp.523-543
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• 2009

We conduct a survey to find out the academic achievement factors for 484 second grade students at two middle schools in Busan city and Kyungsangnam Do, respectively. The survey questionnaire includes home environment and background, students' personal character, relationships with friends, learning attitudes towards improving problem solving, variables related to teaching methods and teachers, the school's computer facilities, mobile class by students levels, private education current situations, etc. Private education current situations are presented according to regions. Based on survey data we perform factor analysis to find major factors affecting mathematics academic achievement. We analyze the characteristics of the major factors. We also propose basic data and implications to mathematics educators and mathematics teachers at middle schools for improving middle school mathematics education quality.