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An Improved Competency Meta-model for Adaptive Learning Systems

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Innovations in Smart Cities and Applications (SCAMS 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

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Abstract

The competency-based approach offers the opportunity for learners to adapt and personalize their learning activities and develop their capacities moreover, it can be applied in many fields and different virtual learning environments. However, researchers and organizations have shown a growing interest in the competencies modeling, which have been formalized for implementation in virtual learning environment and specifically in Adaptive Learning Environment (ALS). As a result, the first step to apply the competency-based approach in such environment is to modeling competency concept. In this paper, we present our proposal competency meta-model based on the HR-XML specification (Human Resources XML) and the IMS Reusable Definition of Competency or Educational Objective (IMS RDCEO), in order to operationalize it in an ALS.

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Authors and Affiliations

  1. Engineering Sciences Laboratory, Faculty of Science, Agadir, Morocco

    El Asame Maryam & Wakrim Mohamed

  2. IRF-SIC Laboratory, Faculty of Science, Agadir, Morocco

    Battou Amal

Authors
  1. El Asame Maryam
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  2. Wakrim Mohamed
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  3. Battou Amal
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Corresponding author

Correspondence to El Asame Maryam .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Maryam, E.A., Mohamed, W., Amal, B. (2018). An Improved Competency Meta-model for Adaptive Learning Systems. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_38

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

  • eBook Packages: EngineeringEngineering (R0)

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