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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
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

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