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A Learning Object Composition Model

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Information Systems and e-Business Technologies (UNISCON 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 5))

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Abstract

The composition of Learning Objects can be defined as the necessary process for its construction from a set of eventually simpler Learning Objects (assets, atoms). Traditionally, this process is done manually, but it can also be automated, which constitutes a motivation of our current research. In this paper, a model for this process is presented. The main phases of the model are described and also a possible way to apply them into an architecture that offers diverse characteristics and benefits useful for the composition: interoperability, reuse and adaptation. For the model, Learning Objects composition begins by defining the instructional needs and then, locating and selecting the best resources conformed. Finally, it is necessary to transform them into some e-learning standard (as LOM), and sequencing and packing them for their distribution.

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© 2008 Springer-Verlag Berlin Heidelberg

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Menendez, V.H., Prieto, M.E. (2008). A Learning Object Composition Model. In: Kaschek, R., Kop, C., Steinberger, C., Fliedl, G. (eds) Information Systems and e-Business Technologies. UNISCON 2008. Lecture Notes in Business Information Processing, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78942-0_45

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  • DOI: https://doi.org/10.1007/978-3-540-78942-0_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78941-3

  • Online ISBN: 978-3-540-78942-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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