About this book
This book is concerned with the mobile, ubiquitous, and pervasive learning arena. It present a collection of works corresponding to four categories: reviews, studies, conceptual proposals, and approaches. As a result of the submission and revision processes eight manuscripts were accepted and organized into the aforementioned four parts as follows:
·Review: a couple of chapters offer a survey of related works. One concerns with the diversity of mobile, ubiquitous, and pervasive labor, where interested findings are unveiled based on correlations. Other focuses on adaptive and adaptable architectures that are suitable to implement ubiquitous learning sceneries, whose contribution represents a model of a domain specific architecture.
·Studies: two chapters explore issues related to the effect of question styles made through smartphones and tablets, and the disposition of teachers to exploit mobile devices at classroom.
·Conceptual: a pair of chapters offer a given proposal, the first to develop adaptive mobile learning systems by means of a framework based on contextual information; and the second with the purpose to share some guidelines of how to apply cloud computing in the development and operation of mobile.
·Approaches: two chapters apply a specific paradigm as part of a whole application and reveal the achieved impact. One of them uses augmented reality to encourage children to learn about trees as context-sensitive informal learning. The other, immerses children in playing a learning game to learn math by cooperating between members team and interacting through mobile devices.
This volume will be a source of interest for researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and finding targets for future work in the mobile, ubiquitous, and pervasive learning field!
Editors and affiliations
- DOI https://doi.org/10.1007/978-3-319-26518-6
- Copyright Information Springer International Publishing Switzerland 2016
- Publisher Name Springer, Cham
- eBook Packages Computer Science
- Print ISBN 978-3-319-26516-2
- Online ISBN 978-3-319-26518-6
- Series Print ISSN 2194-5357
- Series Online ISSN 2194-5365
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