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Punnoose, Alfie Chacko – Journal of Information Technology Education: Research, 2012
The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…
Descriptors: Foreign Countries, Intention, Motivation, Personality Traits
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Cheng, Bo; Wang, Minhong; Yang, Stephen J. H.; Kinshuk; Peng, Jun – Computers & Education, 2011
Current endeavors to integrate competency-based learning approaches with e-learning systems designed for delivery of training to adult learners in the workplace are growing. However, academic efforts in examining learners' perceptions of, and reactions toward, this technology-delivered pedagogical innovation are limited. Drawing together…
Descriptors: Foreign Countries, Electronic Learning, Instructional Design, Socialization
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Lin, Tung-Cheng; Chen, Ching-Jen – International Journal of Distance Education Technologies, 2012
Many e-learning studies have evaluated learning attitudes and behaviors, based on TAM. However, a successful e-learning system (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use…
Descriptors: Foreign Countries, Electronic Learning, User Satisfaction (Information), Intention
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Park, Sung Youl; Nam, Min-Woo; Cha, Seung-Bong – British Journal of Educational Technology, 2012
As many Korean universities have recommended the implementation of mobile learning (m-learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m-learning. A sample of 288 Konkuk university students…
Descriptors: Electronic Learning, Student Attitudes, Structural Equation Models, Self Efficacy
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Huang, Rui-Ting; Deggs, David M.; Jabor, M. Khata; Machtmes, Krisanna – Online Journal of Distance Learning Administration, 2011
Although there is a plethora of online learning studies, relatively few studies have probed into teachers' online technology adoption. It is suggested that faculty resistance to technology be one of the key hindrances to the future development of distance learning. Several studies have argued that teachers' resistance to technology, one of the key…
Descriptors: Electronic Learning, Distance Education, Online Courses, Educational Technology
Post, Susan W. – ProQuest LLC, 2010
Understanding why people accept or reject e-learning technologies has become one of the most challenging issues in education research. Thus, this study set out to determine the effects of factors that influence service-learning faculty to include e-learning technologies in their curriculum. The principal study population was 134 service-learning…
Descriptors: Electronic Learning, Colleges, Population Distribution, Intention
Akour, Hassan – ProQuest LLC, 2010
Scope and method of study: The purpose of this study was to investigate the determinants of mobile learning acceptance in higher education. Mobile learning is a rapidly growing method of learning that utilizes mobile devices to deliver content. Acceptance of mobile learning theory was derived from technology acceptance theories. The study…
Descriptors: Electronic Learning, Learning Theories, Higher Education, Self Efficacy
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Chen, Hong-Ren; Huang, Hui-Ling – Educational Technology & Society, 2010
Thanks to advanced developments in wireless technology, learners can now utilize digital learning websites at anytime and anywhere. Mobile learning captures more and more attention in the wave of digital learning. Evolving use of knowledge management plays an important role to enhance problem solving skills. Recently, innovative approaches for…
Descriptors: Electronic Learning, Handheld Devices, Knowledge Management, Problem Solving
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Nistor, Nicolae; Baltes, Beate; Schustek, Monika – Campus-Wide Information Systems, 2012
Purpose: Online programs rely on the use of educational technology for knowledge sharing in academic virtual communities of practice (vCoPs). This poses the question as to which factors influence technology acceptance. Previous research has investigated the inter-relationship between educational technology acceptance (ETA) and the vCoP context…
Descriptors: Communities of Practice, Intention, Educational Technology, Knowledge Management
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Li, Yan; Duan, Yanqing; Fu, Zetian; Alford, Philip – British Journal of Educational Technology, 2012
The learner's acceptance of e-learning systems has received extensive attention in prior studies, but how their experience of using e-learning systems impacts on their behavioural intention to reuse those systems has attracted limited research. As the applications of e-learning are still gaining momentum in developing countries, such as China,…
Descriptors: Foreign Countries, Developing Nations, Usability, Rural Areas
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Sanchez-Franco, Manuel J. – Computers & Education, 2010
Perceived affective quality is an attractive area of research in Information System. Specifically, understanding the intrinsic and extrinsic individual factors and interaction effects that influence Information and Communications Technology (ICT) acceptance and adoption--in higher education--continues to be a focal interest in learning research.…
Descriptors: Structural Equation Models, Intention, Interaction, Higher Education
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Lee, Ming-Chi – Computers & Education, 2010
Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation-confirmation model (ECM), the…
Descriptors: Electronic Learning, Expectation, Continuing Education, Intention
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Wang, Yi-Shun; Wu, Ming-Cheng; Wang, Hsiu-Yuan – British Journal of Educational Technology, 2009
With the proliferation of mobile computing technology, mobile learning (m-learning) will play a vital role in the rapidly growing electronic learning market. M-learning is the delivery of learning to students anytime and anywhere through the use of wireless Internet and mobile devices. However, acceptance of m-learning by individuals is critical…
Descriptors: Structural Equation Models, Age Differences, Information Technology, Foreign Countries
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Lowenthal, Jeffrey N. – American Journal of Distance Education, 2010
This study examined the factors or determinates that impact the behavioral intention of students to use mobile learning (m-learning) technology. These determinates include performance expectancy, effort expectancy, and self-management of learning, all mediated by age, gender, or both. Regression coefficients showed strong and significant…
Descriptors: Electronic Learning, Learning Strategies, Intention, Educational Technology
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Suki, Norazah Mohd; Suki, Norbayah Mohd – Turkish Online Journal of Distance Education, 2011
Mobile technologies have enabled a new way of communicating, for whom mobile communications are part of normal daily interaction. This paper explores the proposed and verified Technology Acceptance Model (TAM) that can be employed to explain the acceptance of Mobile Learning (M-learning), an activity in which users access learning material with…
Descriptors: Foreign Countries, Electronic Learning, Internet, Adoption (Ideas)
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