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XESOP: A Content-Adaptive M-Learning Environment

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21st Century Learning for 21st Century Skills (EC-TEL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7563))

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Abstract

This demo paper illustrates content adaptation for mobile devices. Adaptation considers the context of the client and also the environment, where the client request is received. A device independent model is demonstrated in order to achieve automatic adaptation of a content based on its semantic and the capabilities of the target device. A Web Services-based Framework is presented for adapting, displaying and manipulating learning objects on small handheld devices. A speech solution allows learners to turn written text into natural speech files, in using standard voices. This demo paper also illustrates the main features of XESOP system: authoring of heterogeneous data, integration by means of Web services’ invocation in a Learning Course Management System.

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References

  1. Madjarov, I., Boucelma, O.: Learning Content Adaptation for m-Learning Systems: A Multimodality Approach. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds.) ICWL 2010. LNCS, vol. 6483, pp. 190–199. Springer, Heidelberg (2010)

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  2. Madjarov, I., Boucelma, O.: Data and Application Integration in Learning Content Management Systems: A Web Services Approach. In: Nejdl, W., Tochtermann, K. (eds.) EC-TEL 2006. LNCS, vol. 4227, pp. 272–286. Springer, Heidelberg (2006)

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  3. Madjarov, I., Boucelma, O.: Multimodality and Context-adaptation for Mobile Learning. In: Bebo, W., Irwin, K., Philip, T. (eds.) Social Media Tools and Platforms in Learning Environments, 1st edn. LNCS, pp. 257–276 (2011)

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© 2012 Springer-Verlag Berlin Heidelberg

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Madjarov, I., Boucelma, O. (2012). XESOP: A Content-Adaptive M-Learning Environment. In: Ravenscroft, A., Lindstaedt, S., Kloos, C.D., Hernández-Leo, D. (eds) 21st Century Learning for 21st Century Skills. EC-TEL 2012. Lecture Notes in Computer Science, vol 7563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33263-0_55

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  • DOI: https://doi.org/10.1007/978-3-642-33263-0_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33262-3

  • Online ISBN: 978-3-642-33263-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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