Mobile learning: A framework and evaluation
Computers & Education
Augmenting paper-based learning with mobile phones
Interacting with Computers
Investigating the Use of Voice and Ink for Mobile Micronote Capture
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Affect and acceptance: Examining the effects of positive mood on the technology acceptance model
Decision Support Systems
Does the technology acceptance model predict actual use? A systematic literature review
Information and Software Technology
Factors driving the adoption of m-learning: An empirical study
Computers & Education
Review: A survey on security issues in service delivery models of cloud computing
Journal of Network and Computer Applications
Mobile English learning: An evidence-based study with fifth graders
Computers & Education
New technology trends in education: Seven years of forecasts and convergence
Computers & Education
A cloud-based learning environment for developing student reflection abilities
Computers in Human Behavior
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Mobile learning is increasing in popularity, but not all university students have mobile devices to support it. Our study investigated cross-platform software that has the potential to allow education practitioners to provide mobile support to their students' learning, while offering similar functionality to non-mobile users via more traditional computing platforms. Undergraduate students were trained in the use of multi-platform cloud-based note-taking software (Evernote), and used the software in independent study for 8weeks. Data show adoption for a range of functions, particularly gathering and managing information, organisation and planning, and the recording of ideas. Multimedia functions were also adopted innovatively by some students. Use for reflection was rare. Non-adopters were in a minority, giving low utility appraisals and difficulty in changing habits as reasons. Subjective evaluations and recommendations showed that a majority of students felt positive about the software and found it quick and easy to use. Mobile and non-mobile users only differed on the number of locations in which they used the software, and the proportion of notes classified as ideas, both being higher in mobile users. The data provide decision support for education practitioners who wish to provide mobile learning to their students alongside traditional platforms.