NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Khechine, Hager; Raymond, Benoit; Augier, Marc – British Journal of Educational Technology, 2020
The purpose of this study is to identify the determinants of the intention to use and the effective use of a learning management system that integrates social learning tools. Data were collected through an online questionnaire and analyzed using structural equation modeling techniques. As our theoretical lens, we adapted the original unified…
Descriptors: Intention, Integrated Learning Systems, Higher Education, Social Media
Peer reviewed Peer reviewed
Direct linkDirect link
Baydas, Ozlem; Yilmaz, Rabia M. – British Journal of Educational Technology, 2018
This study proposes a model for determining preservice teachers' intentions to adopt mobile learning from a motivational perspective. Data were collected from 276 preservice teachers and analyzed by structural equation modeling. A model capable of explaining 87% of the variance in preservice teachers' intention to adopt mobile learning was…
Descriptors: Preservice Teachers, Student Attitudes, Intention, Telecommunications
Peer reviewed Peer reviewed
Direct linkDirect link
Vermeulen, Marjan; Kreijns, Karel; van Buuren, Hans; Van Acker, Frederik – British Journal of Educational Technology, 2017
This study investigated whether school organizational variables (ie, transformative leadership (TL), ICT-infrastructure (technical and social) and organizational learning climate were related to teachers' dispositional variables (ie, attitude, perceived norm and perceived behavior control [PBC]). The direct and indirect influences of the…
Descriptors: Institutional Characteristics, Transformational Leadership, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Su-Chao; Tung, Feng-Cheng – British Journal of Educational Technology, 2008
With the development of the Internet in the era of knowledge-driven economy, e-learning is experiencing rapid growth. The online learning course websites are drawing more attention as well. This research combines the innovation diffusion theory and the technology acceptance model, and adds two research variables, perceived system quality and…
Descriptors: Distance Education, Self Efficacy, Online Courses, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Lau, Siong-Hoe; Woods, Peter C. – British Journal of Educational Technology, 2008
This study empirically evaluates the technology acceptance model drawn from Information Systems (IS) literature to investigate how user beliefs and attitudes influence learning-object use among higher education learners by evaluating the relationships between perceived usefulness, perceived ease of use, attitude, behavioural intentions and actual…
Descriptors: Intention, Information Systems, Higher Education, Adoption (Ideas)