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논문 기본 정보

자료유형
학술저널
저자정보
배재권 (동양대학교) 김진화 (서강대학교) 정화민 (유한대학)
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.17, No.2
발행연도
2010.6
수록면
71 - 90 (20page)

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초록· 키워드

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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.

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Abstract
1. 서론
2. 이러닝 시스템 재이용의도 영향요인에 관한 연구
3. 연구 방법
4. 분석 결과
5. 결론
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UCI(KEPA) : I410-ECN-0101-2010-005-002475474