• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.1
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• pp.81-93
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• 2001

The purpose of this study was to develop Parental Educational Multimedia System for Health Promotion of Children in Chungnam province. This system includes education programs for information of diseases, prevention of disease, and health promotion of children. Computer language used in this study were html, OS used was Microsoftware NT Server 4.0, the graphic tool was Adobe Photoshop 5.5, and Webpage tool was Notepade. The results of this study were show at internet 'www. ggomalove.co.kr'. Finally, the author suggests that this system could be adequately applied to promoting children's health. Further this study contributes to designing an appropriate health promotion strategy for children.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.71-90
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• 2010

Electronic learning(or e-learning) has created hype for companies, universities, and other educational institutions. It has led to the phenomenal growth in the use of web-based learning and experimentation with multimedia, video conferencing, and internet-based technologies. Many researchers are interested in the factors that affect to the performance of e-learning or e-learning services. In this sense, this study is aimed at proposing e-learning system reuse prediction models in which e-learner intention to reuse influence factors(i.e., system accessibility, system stability, information clarity, information validity, self-regulated efficacy, computer self-efficacy, perceived usefulness, perceived ease of use, flow, and parental expectation) affect e-learner intention to reuse positively. A web survey was conducted for the full members of the e-learning education institute A in Seoul, Republic of Korea, an exclusive e-learning company that provides real time video lectures via the desktop conferencing system. The web survey was conducted for 20 days from November 5, 2009, through the e-learning web site of the company A. In this study, three data mining techniques were used : the multivariate discriminant analysis, CART, and C5.0 algorithm. This study was conducted to provide the e-learning service providers, e-learning operators, and contents developers with marketing and management strategies for improving the e-learning service companies, based on the data mining analysis results.