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ConKMeL: a contextual knowledge management framework to support multimedia e-Learning

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Abstract

As the latest stage of learning and training evolution, e-Learning is supposed to provide intelligent functionalities not only in processing multi-media education resources but also in supporting context-sensitive pedagogical education processes. Towards providing an integrated solution for intelligent multimedia e-Learning, this paper presents a context-aware knowledge management framework named ConKMeL. Proposed framework features a semantic context-based approach for representing and integrating information and knowledge in e-Learning. Requirement analysis in university e-Learning environments shows that knowledge communications are usually in a hybrid mode across different conceptual levels. Based on the fact, a multi-layer contextual knowledge representation model called KG (knowledge graph) is presented. Corresponding key issues in development such as context-based knowledge retrieval and logical knowledge interpretation are discussed. On the application side, a scenario-based learning case study is shown to demonstrate the concepts and techniques developed in the ConKMeL framework.

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Notes

  1. http://www.webct.com/

  2. http://www.blackboard.com/

  3. http://www.learningspace.org/

  4. http://www.pageout.net/

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Authors and Affiliations

  1. Faculty of Computing, Information Systems and Mathematics, Kingston University, London, KT1 2EE, UK

    Weihong Huang

  2. LIRIS (Lyon Research Center for Images and Intelligent Information Systems), FRE 2672 CNRS, University Claude Bernard Lyon 1, 69622, Villeurbanne, Cedex, France

    Alain Mille

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  1. Weihong Huang
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  2. Alain Mille
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Correspondence to Weihong Huang.

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Huang, W., Mille, A. ConKMeL: a contextual knowledge management framework to support multimedia e-Learning. Multimed Tools Appl 30, 205–219 (2006). https://doi.org/10.1007/s11042-006-0024-4

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  • DOI: https://doi.org/10.1007/s11042-006-0024-4

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