Extract Tacit Knowledge in the Learner Model of the Smart Tutoring System

Fatima-Zohra Hibbi, Otman Abdoun, Haimoudi El Khatir


Knowledge management (KM) is one of the main factors that have become extremely popular in recent years. KM is the processes which people explain information data using scientific and technological media and summarize it into concepts and rules to generate knowledge. This later can be implicit or explicit one. The aim of this contribution is to convert the tacit knowledge into explicit using Metaheuristics techniques. This paper aims to develop a model for converting tacit knowledge into explicit knowledge, using the Metaheuristics algorithm for the E-learning platform. For that purpose, the knowledge conversion process will respect the following steps: define the source of tacit knowledge and their methods, classify the tacit knowledge, then we evaluate the implicit knowledge conversion.


Knowledge Management; Metaheuristics; Tacit Knowledge; Competitive learning Algorithm

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Copyright (c) 2020 fatima-zohra HIBBI

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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