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Evaluating the Automatic Extraction of Learning Objects from Electronic Textbooks Using ErauzOnt

  • Mikel Larrañaga
  • Ángel Conde
  • Iñaki Calvo
  • Ana Arruarte
  • Jon A. Elorriaga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7315)

Abstract

Content reuse is one of the major concerns in the Technology Enhanced Learning community. ErauzOnt is a system that uses Natural Language Processing techniques, heuristic reasoning, and ontologies to generate Learning Objects from textbooks. It has been tested with several textbooks written in the Basque language in order to evaluate the automatic construction of Learning Objects.

Keywords

Learning Objects Content Authoring 

References

  1. 1.
    de Hoog, R., Barnard, Y., Wielinga, B.J.: IMAT: Re-using multi-media electronic technical documentation for training. In: Roger, J.Y., Stanford-Smith, B., Kidd, P.T. (eds.) Business and Work in the Information Society: New Technologies and Applications, pp. 415–421. IOS Press (1999)Google Scholar
  2. 2.
    Larrañaga, M., Calvo, I., Elorriaga, J.A., Arruarte, A., Verbert, K., Duval, E.: ErauzOnt: A Framework for Gathering Learning Objects from Electronic Documents. In: Proceedings of the ICALT 2011, pp. 656–658. IEEE Computer Society (2011)Google Scholar
  3. 3.
    Verbert, K., Ochoa, X., Duval, E.: The ALOCOM Framework: Towards Scalable Content Reuse. Journal of Digital Information 9(1) (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mikel Larrañaga
    • 1
  • Ángel Conde
    • 1
  • Iñaki Calvo
    • 1
  • Ana Arruarte
    • 1
  • Jon A. Elorriaga
    • 1
  1. 1.University of the Basque CountrySpain

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