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Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Looi, Chee Kit; Khor, Ean Teng – British Journal of Educational Technology, 2022
The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in…
Descriptors: Adults, Intention, Behavior Theories, Electronic Learning
Zhao, Yang; Wang, Ning; Li, Yixuan; Zhou, Ruoxin; Li, Shuangshuang – British Journal of Educational Technology, 2021
The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…
Descriptors: Cultural Differences, Electronic Learning, Student Attitudes, Computer Attitudes
Malanga, Andrea Cristina Micchelucci; Bernardes, Roberto Carlos; Borini, Felipe Mendes; Pereira, Rafael Morais; Rossetto, Dennys Eduardo – British Journal of Educational Technology, 2022
The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, Electronic Learning, Integrated Learning Systems, College Students
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Eraslan Yalcin, Muyesser; Kutlu, Birgul – British Journal of Educational Technology, 2019
The aim of this study is to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Turkey using extended Technology Acceptance Model (e-TAM). TAM has been widely used in various fields of technology acceptance in the last years and is found to be highly useful for the determination of…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
Kim, Dongho; Lee, In-Heok; Park, Joo-Ho – British Journal of Educational Technology, 2019
Open educational resources (OERs) are increasingly adopted in non-formal education contexts. However, little research has been conducted to investigate the self-directed learning patterns of non-formal learners using OERs. A lack of knowledge about non-formal learners precludes discussions on how to support their self-regulated learning in open…
Descriptors: Nonformal Education, Independent Study, Open Educational Resources, Open Education
Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
Ros, Salvador; Hernández, Roberto; Caminero, Agustín; Robles, Antonio; Barbero, Isabel; Maciá, Araceli; Holgado, Francisco Pablo – British Journal of Educational Technology, 2015
Service-oriented e-learning platforms can be considered as a third generation of learning management systems (LMSs). As opposed to the previous generations, consisting of ad hoc solutions and traditional LMS, this new technology contemplates e-learning systems as services that can be integrated into different learning scenarios. This paper shows…
Descriptors: Management Information Systems, Integrated Learning Systems, Educational Technology, Electronic Learning
Chang, Ray I.; Hung, Yu Hsin; Lin, Chun Fu – British Journal of Educational Technology, 2015
With the rapid development of web techniques, information and communication technology is being increasingly used in curricula, and learning portfolios can be automatically retrieved and maintained as learners interact through e-learning platforms. Further, massive open online courses (MOOCs), which apply such technology to provide open access to…
Descriptors: Learning Experience, Preferences, Cognitive Style, Intention
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
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
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
Lau, Siong-Hoe; Woods, Peter C. – British Journal of Educational Technology, 2009
Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…
Descriptors: Electronic Learning, Student Attitudes, Intention, Information Systems