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Mobile Virtual Devices for Collaborative M-Learning
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (CeLeKT)
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (CeLeKT)ORCID iD: 0000-0002-6937-345X
2010 (English)In: Workshop Proceedings of the 18th International Conference on Computers in Education, Asia-Pacific Society for Computers in Education, 2010Conference paper, (Refereed)
Abstract [en]

The increasing use of mobile devices to support collaborative activities creates a need for developing new methods and perspectives to facilitate information sharing. In this paper, we present an approach for information sharing in mobile collaborative settings through the use of Mobile Virtual Devices (MVD). MVD emerges as a new conceptualization of an organization of mobile devices that supports collaborative tasks. The use of MVD allows designers and users to interact with and through mobile devices in novel ways, considering the aggregation of mobile devices as a single entity. The notion of MVD has been conceptualized on the idea of multirole devices, using components to provide and consume resources.

Place, publisher, year, edition, pages
Asia-Pacific Society for Computers in Education, 2010.
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-9382OAI: oai:DiVA.org:lnu-9382DiVA: diva2:371179
Conference
18th International Conference on Computers in Education, ICCE
Available from: 2010-11-19 Created: 2010-11-19 Last updated: 2016-08-15Bibliographically approved
In thesis
1. Uncertainties in Mobile Learning applications: Software Architecture Challenges
Open this publication in new window or tab >>Uncertainties in Mobile Learning applications: Software Architecture Challenges
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The presence of computer technologies in our daily life is growing by leaps and bounds. One of the recent trends is the use of mobile technologies and cloud services for supporting everyday tasks and the sharing of information between users. The field of education is not absent from these developments and many organizations are adopting Information and Communication Technologies (ICT) in various ways for supporting teaching and learning. The field of Mobile Learning (M-Learning) offers new opportunities for carrying out collaborative educational activities in a variety of settings and situations. The use of mobile technologies for enhancing collaboration provides new opportunities but at the same time new challenges emerge.

One of those challenges is discussed in this thesis and it con- cerns with uncertainties related to the dynamic aspects that characterized outdoor M-Learning activities. The existence of these uncertainties force software developers to make assumptions in their developments. However, these uncertainties are the cause of risks that may affect the required outcomes for M-Learning activities. Mitigations mechanisms can be developed and included to reduce the risks’ impact during the different phases of development. However, uncertainties which are present at runtime require adaptation mechanisms to mitigate the resulting risks.

This thesis analyzes the current state of the art in self-adaptation in Technology-Enhanced Learning (TEL) and M-Learning. The results of an extensive literature survey in the field and the outcomes of the Geometry Mobile (GEM) research project are reported. A list of uncertainties in collaborative M-Learning activities and the associated risks that threaten the critical QoS outcomes for collaboration are identified and discussed. A detailed elaboration addressing mitigation mechanisms to cope with these problems is elaborated and presented. The results of these efforts provide valuable insights and the basis towards the design of a multi-agent self-adaptive architecture for multiple concerns that is illustrated with a prototype implementation. The proposed conceptual architecture is an initial cornerstone towards the creation of a decentralized distributed self-adaptive system for multiple concerns to guarantee collaboration in M-Learning. 

Place, publisher, year, edition, pages
Växjö, Sweden: Linnaeus University, 2012. 136 p.
Keyword
distributed systems, uncertainties, self-adaptation, QoS, collaboration, M-Learning, TEL, Mobile Learning, Distributed Systems, Uncertainties, Quality of Service, Self-Adaptation
National Category
Computer Science
Identifiers
urn:nbn:se:lnu:diva-18547 (URN)
Presentation
2012-03-12, Homeros, Linnaeus University, Växjö, 10:20 (English)
Opponent
Supervisors
Available from: 2012-05-09 Created: 2012-05-04 Last updated: 2017-02-13Bibliographically approved

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CiteExportLink to record
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Citation style
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