An XML multi-agent system for e-learning and skill management

被引:0
|
作者
Garro, A
Palopoli, L
机构
[1] Univ Calabria, DEIS, I-87030 Arcavacata Di Rende, CS, Italy
[2] Univ Reggio Calabria, DIMET, I-89060 Reggio Di Calabria, Italy
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:283 / 294
页数:12
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