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An XML Multi-agent System for E-learning and Skill Management

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Abstract

E-learning is nowadays recognized as one of the key components of Enterprise Knowledge Management platforms. Given a project specification, the platform should be able to suggest a project team, to measure human resources competence gaps and to contribute to reduce them by creating personalized learning paths. In this paper we propose an XML based Multi-Agent System to perform the following tasks: (i) supporting Chief Learning Officers in defining roles, associated competencies and knowledge level required; (ii) managing the skill map of the organization; (iii) measuring human resources competence gaps; (iv) supporting employees in filling their competence gaps as related to their roles; (v) enriching a given courseware or creating personalized learning paths according to feedbacks user provides in order to optimize the acquisition of needed competencies; (vi) assisting Chief Learning Offcers in choosing the most appropriate employee for a given role.

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© 2003 Springer-Verlag Berlin Heidelberg

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Garro, A., Palopoli, L. (2003). An XML Multi-agent System for E-learning and Skill Management. In: Carbonell, J.G., Siekmann, J., Kowalczyk, R., Müller, J.P., Tianfield, H., Unland, R. (eds) Agent Technologies, Infrastructures, Tools, and Applications for E-Services. NODe 2002. Lecture Notes in Computer Science(), vol 2592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36559-1_21

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  • DOI: https://doi.org/10.1007/3-540-36559-1_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00742-5

  • Online ISBN: 978-3-540-36559-4

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