In this paper, we present a semantic Web architecture of a competency-based lifelong learning support system which falls within the scope of lifelong learning and attempts to deal with the issue of competency tracking, management, and development in learning networks. In particular, the proposed system aims to track learners’ competencies in learning networks and to provide them with different competency assessment procedures, such as learner positioning, competency gap analysis, and competency profile matching. In addition, it integrates a personalized learning path generator module that enables learners fill the gap between available and expected competencies. This system is currently under construction and will include semantic Web services capabilities for supporting automatic matchmaking tasks.
CITATION STYLE
Rezgui, K., & Mhiri, H. (2020). A Semantic Web Architecture for Competency-Based Lifelong Learning Support Systems. In Advances in Intelligent Systems and Computing (Vol. 923, pp. 438–448). Springer Verlag. https://doi.org/10.1007/978-3-030-14347-3_43
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