Empirical study on the adoption of mobile learning : based on extended technology acceptance model모바일 러닝에 대한 소비자 수용 연구

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dc.contributor.advisorKwon, Young-Sun-
dc.contributor.advisor권영선-
dc.contributor.authorOh, Kyoung-Hee-
dc.contributor.author오경희-
dc.date.accessioned2011-12-28T02:38:29Z-
dc.date.available2011-12-28T02:38:29Z-
dc.date.issued2006-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392689&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/54467-
dc.description학위논문(석사) - 한국정보통신대학교 : 경영학부, 2006.6, [ vi, 48 p. ]-
dc.description.abstractMobile telecommunication technology is opening an era that enables access to many information services, including advanced educational techniques and wireless Internet connections. As the use of wireless Internet increases, many traditional industries are attempting to develop new ways of conducting business using a wireless service delivery channel. The education industry is no exception. Mobile learning (m-learning) is an advanced method of learning that has evolved from web-oriented learning; it emphasizes portability and mobility in learning and easy access to knowledge databases and educational service providers regardless of time and place. The perceived ease of use and perceived usefulness are widely recognized as the principal factors determining the uptake of m-learning. This paper discusses other factors that affect the adoption of mobile learning, using the extended technology acceptance model (TAM). These additional factors are the perceived system quality, perceived contents quality, subjective norm, and perceived cost. We examined the factors that affect users`` adoption of mobile learning, and validated and empirically tested our research model.eng
dc.languageeng-
dc.publisher한국정보통신대학교-
dc.titleEmpirical study on the adoption of mobile learning-
dc.title.alternative모바일 러닝에 대한 소비자 수용 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN392689/225023-
dc.description.department한국정보통신대학교 : 경영학부, -
dc.identifier.uid020044599-
dc.contributor.localauthorKwon, Young-Sun-
dc.contributor.localauthor권영선-
dc.title.subtitlebased on extended technology acceptance model-
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MG-Theses_Master(석사논문)
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