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Quality in Learning Objects: Evaluating Compliance with Metadata Standards

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Metadata and Semantic Research (MTSR 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 108))

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Abstract

Ensuring a certain level of quality of learning objects used in e-learning is crucial to increase the chances of success of automated systems in recommending or finding these resources. This paper aims to present a proposal for implementation of a quality model for learning objects based on ISO 9126 international standard for the evaluation of software quality. Features indicators associated with the conformance sub-characteristic are defined. Some instruments for feature evaluation are advised, which allow collecting expert opinion on evaluation items. Other quality model features are evaluated using only the information from its metadata using semantic web technologies. Finally, we propose an ontology-based application that allows automatic evaluation of a quality feature. IEEE LOM metadata standard was used in experimentation, and the results shown that most of learning objects analyzed do not complain the standard.

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Author information

Authors and Affiliations

  1. Univ. del Bio-Bio, Avda. Collao, 1202, Concepción, Chile

    C. Christian Vidal, N. Alejandra Segura & S. Pedro Campos

  2. Univ. Alcalá, Ctra. Barcelona km. 33.6, 28871, Madrid, Spain

    Salvador Sánchez-Alonso

Authors
  1. C. Christian Vidal
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  2. N. Alejandra Segura
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  3. S. Pedro Campos
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  4. Salvador Sánchez-Alonso
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Editor information

Editors and Affiliations

  1. Universidad de Alcalá, Edificio Polité cnico, despacho O-246, Ctra. Meco s/n, 28871, Alcalá de Henares, Spain

    Salvador Sánchez-Alonso

  2. IDSIA/USI-SUPSI, Galleria 2, 6928, Manno, Lugano, Switzerland

    Ioannis N. Athanasiadis

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Vidal, C.C., Segura, N.A., Campos, S.P., Sánchez-Alonso, S. (2010). Quality in Learning Objects: Evaluating Compliance with Metadata Standards. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds) Metadata and Semantic Research. MTSR 2010. Communications in Computer and Information Science, vol 108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16552-8_31

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  • DOI: https://doi.org/10.1007/978-3-642-16552-8_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16551-1

  • Online ISBN: 978-3-642-16552-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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