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Enhancing Mobile Learning Activities by the Use of Mobile Virtual Devices: Some Design and Implementation Issues
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.ORCID iD: 0000-0001-5471-551X
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (CeLeKT)ORCID iD: 0000-0002-6937-345X
2010 (English)In: 2010 2nd International Conference on Intelligent Networking and Collaborative Systems (INCOS), IEEE Press, 2010, p. 137-144Conference paper, Published paper (Refereed)
Abstract [en]

The use of multiple mobile devices is increasing in mobile learning, bringing a need for collaboration and resource sharing among participating pupils. This paper presents an approach that addresses information and resource sharing for mobile devices in indoors and outdoors settings. Our solution consists of aggregated mobile devices, forming organizations. These Mobile Virtual Devices (MVDs) provide a new mechanism that facilitates design of mobile learning activities offering a virtual complex device that combines the features of several mobile devices.

Place, publisher, year, edition, pages
IEEE Press, 2010. p. 137-144
Keywords [en]
mobile organization, shared resources, collaborative learning
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-9383DOI: 10.1109/INCOS.2010.85Scopus ID: 2-s2.0-79952080508ISBN: 978-0-7695-4278-2 (print)OAI: oai:DiVA.org:lnu-9383DiVA, id: diva2:371181
Conference
2nd International Conference on Intelligent Networking and Collaborative Systems, 24-26 Nov. 2010, Thessaloniki
Available from: 2010-11-19 Created: 2010-11-19 Last updated: 2018-04-26Bibliographically 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. p. 136
Keywords
distributed systems, uncertainties, self-adaptation, QoS, collaboration, M-Learning, TEL, Mobile Learning, Distributed Systems, Uncertainties, Quality of Service, Self-Adaptation
National Category
Computer Sciences
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: 2018-01-12Bibliographically approved

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Gil de la Iglesia, DidacAndersson, JesperMilrad, Marcelo

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