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

Authors

DOI:

https://doi.org/10.3991/ijet.v15i04.11781

Keywords:

Knowledge Management, Metaheuristics, Tacit Knowledge, Competitive learning Algorithm

Abstract


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.

Author Biographies

Otman Abdoun, Polydisciplinary Faculty, Abdelmalk Essaadi University: Larache, Tanger-Tetouan.

Computer Science Department

Haimoudi El Khatir, Polydisciplinary Faculty, Abdelmalk Essaadi University: Larache, Tanger-Tetouan.

Computer Science Department

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Published

2020-02-26

How to Cite

Hibbi, F.-Z., Abdoun, O., & El Khatir, H. (2020). Extract Tacit Knowledge in the Learner Model of the Smart Tutoring System. International Journal of Emerging Technologies in Learning (iJET), 15(04), pp. 235–240. https://doi.org/10.3991/ijet.v15i04.11781

Issue

Vol. 15 No. 04 (2020)

Section

Short Papers

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