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Toward an Adaptive and Adaptable Architecture to Support Ubiquitous Learning Activities
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0002-6893-0461
Malmö University.
Malmö University.
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0001-7072-1063
Show others and affiliations
2016 (English)In: Mobile, Ubiquitous, and Pervasive Learning: Fundaments, Applications, and Trends / [ed] Alejandro Peña-Ayala, Springer, 2016, 193-222 p.Chapter in book (Refereed)
Abstract [en]

The continuous evolution of learning technologies combined with the changes within ubiquitous learning environments in which they operate result in dynamic and complex requirements that are challenging to meet. The fact that these systems evolve over time makes it difficult to adapt to the constant changing requirements. Existing approaches in the field of Technology Enhanced Learning (TEL) are generally not addressing those issues and they fail to adapt to those dynamic situations. In this chapter, we investigate the notion of an adaptive and adaptable architecture as a possible solution to address these challenges. We conduct a literature survey upon the state of the art and state of practice in this area. The outcomes of those efforts result in an initial model of a Domain-specific architecture to tackle the issues of adaptability and adaptiveness. To illustrate these ideas, we provide a number of scenarios where this architecture can be applied or is already applied. Our proposed approach serves as a foundation for addressing future ubiquitous learning applications where new technologies constantly emerge and new requirements evolve.

Place, publisher, year, edition, pages
Springer, 2016. 193-222 p.
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 406
Keyword [en]
Domain-specific architecture, Web-based, Adaptive and adaptable architecture, Technology enhanced learning, Ubiquitous learning
National Category
Computer Science Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-49272DOI: 10.1007/978-3-319-26518-6_8Scopus ID: 2-s2.0-84966318500Libris ID: 19360010ISBN: 978-3-319-26516-2 (print)ISBN: 978-3-319-26518-6 (print)OAI: oai:DiVA.org:lnu-49272DiVA: diva2:897478
Available from: 2016-01-25 Created: 2016-01-25 Last updated: 2017-04-19Bibliographically approved

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Zbick, JanoschVogel, BahtijarSpikol, DanielJansen, MarcMilrad, Marcelo
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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More languages
Output format
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