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An Adaptive Personal Learning Environment Architecture

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8350))

Abstract

Institutions are facing the challenge to integrate legacy systems with steadily growing new ones, using different technologies and interaction patterns. With the demand of offering the best potential of all systems, several not matching systems including their functions have to be aggregated and offered in a useable way. This paper presents an adaptive, generalizable and self-organized Personal Learning Environment (PLE) framework with the potential to integrate several heterogeneous services using a service-oriented architecture. First, a general overview over the field is given, followed by the description of the core components of the PLE framework. A prototypical implementation is presented. Finally, it’s shown how the PLE framework can be dynamically adapted to a changing system environment, reflecting experiences from first user studies.

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© 2014 Springer International Publishing Switzerland

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Kiy, A., Lucke, U., Zoerner, D. (2014). An Adaptive Personal Learning Environment Architecture. In: Maehle, E., Römer, K., Karl, W., Tovar, E. (eds) Architecture of Computing Systems – ARCS 2014. ARCS 2014. Lecture Notes in Computer Science, vol 8350. Springer, Cham. https://doi.org/10.1007/978-3-319-04891-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-04891-8_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04890-1

  • Online ISBN: 978-3-319-04891-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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