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Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh – Interactive Learning Environments, 2017
The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Surveys
Chiu, Thomas K. F.; Churchill, Daniel – Interactive Learning Environments, 2016
Beliefs, attitudes and anxiety levels of schoolteachers are important factors influencing the acceptance, adoption and integration of mobile devices in teaching. To understand how to sustain device use, we need to understand what influences teachers and how such factors can change. We adopted a quasi-experimental design using pre- and…
Descriptors: Technology Integration, Adoption (Ideas), Handheld Devices, Beliefs
Tarhini, Ali; Hone, Kate; Liu, Xiaohui; Tarhini, Takwa – Interactive Learning Environments, 2017
In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include "subjective norms" (SN)…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Models
Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models
Teo, Timothy – Interactive Learning Environments, 2012
This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…
Descriptors: Foreign Countries, Educational Technology, Structural Equation Models, Computer Uses in Education

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