Earticle

초록

영어

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.

목차

Abstract
 1. 서론
 2. 이러닝 시스템 재이용의도 영향요인에 관한 연구
  2.1 시스템 특성과 정보 특성
  2.2 TAM과 플로우 이론
  2.3 학습자 특성(자기효능감 이론)과 부모의 성취기대
 3. 연구 방법
  3.1 연구 변수의 조작적 정의
  3.2 표본 선정 및 분석 방법
 4. 분석 결과
  4.1 표본의 기술적 특성
  4.2 다변량 판별분석 모형구축 및 결과
  4.3 규칙유도기법 모형구축 및 결과
  4.4 기계학습기법간 이러닝 시스템 재이용의도 속성의 비교분석
 5. 결론
 참고문헌

키워드

저자

• 배재권 [ Jae Kwon Bae | 동양대학교 철도경영학과 전임강사 ] 교신저자
• 김진화 [ Jìnhwa Kìm | 서강대학교 경영학과 교수 ]
• 정화민 [ Hwa Mìn Jeong | 유한대학 경영정보과 겸임교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005