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 Officers in choosing the most appropriate employee for a given role.
CITATION STYLE
Garro, A., & Palopoli, L. (2003). An XML multi-agent system for E-learning and skill management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2592, pp. 283–294). Springer Verlag. https://doi.org/10.1007/3-540-36559-1_21
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