The design of personal mobile technologies for lifelong learning
Computers & Education - VIRTUALITY IN EDUCATION selected contributions from the CAL 99 symposium
A Mobile Butterfly-Watching Learning System for Supporting Independent Learning
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Context Awareness and Adaptation in Mobile Learning
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
The development of mobile applications for patient education
Proceedings of the 2003 conference on Designing for user experiences
Using log files to track students' model-based inquiry
ICLS '06 Proceedings of the 7th international conference on Learning sciences
Anatomy of a mobilized lesson: Learning my way
Computers & Education
Designing collaborative, constructionist and contextual applications for handheld devices
Computers & Education - Virtual learning? Selected contributions from the CAL 05 symposium
Re-experiencing history in archaeological parks by playing a mobile augmented reality game
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Understanding mobile learning from the perspective of self-regulated learning
Journal of Computer Assisted Learning
Towards seamless vocabulary learning: how we can entwine in-class and outside-of-class learning
International Journal of Mobile Learning and Organisation
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Seamless learning environments help students in extending their learning experiences across social, personal and environmental dimensions, and are supported by different tools, information and communication technology. In order to capture the evidence of the ways students utilize mobile devices in their formal and informal learning pursuits, a quiet data capture program was designed and pilot-tested. It is used to capture both quantitative and qualitative data about device use, to track user generated data and artefacts persistent across time and to generate and render aggregated reports identifying usage patterns. It is supposed to serve as a mechanism of identifying affordances of mobile devices within the landscape of seamless learning. Some preliminary findings raising multiple questions and inevitably sharpening our research lenses are presented towards the end of the paper.