Universal Journal of Educational Research Vol. 8(12), pp. 6585 - 6597
DOI: 10.13189/ujer.2020.081223
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Smart Pedagogical Knowledge Management System


Meriyem Chergui 1,*, Aziza Chakir 2, Hajar Mansouri 1
1 Department of Mathematics and Computer Sciences, Higher National School of Electricity and Mechanics, Hassan II University, Casablanca, Morocco
2 Department of Economic Science and Management, Faculty of Economic and Social Legal Sciences, Hassan II University, Casablanca, Morocco

ABSTRACT

The problem of knowledge in business was born several years ago. Indeed, new forms of work generate informal learning situations. This is how individuals develop their knowledge and skills. These situations are recognized by companies doing knowledge management. They encourage and make all to build communities of practice and knowledge exchange networks. This makes it possible to formalize the procedures, the good practices and the failures (feedback of experiences) thus to constitute sources of exploitable data. At the university, like any organization, each teacher has his/her own knowledge, his/her know-how, and he/she develops skills on his/her field of work in order to make that knowledge collected. This tacit or implicit teacher knowledge is shared so that each student can appropriate it and use it. However, depending on the nature of knowledge, and given the peculiarity of the pedagogical flow and its dependence on individuals (teacher), creating collective knowledge is not simple. During retirements, transfers, position change or any other academic life event, causing teacher displacement, knowledge may be lost. To deal with this problem, an empirical study of educational system perception of higher education in Morocco was carried out. Emphasis was placed on: pedagogical knowledge management, educational and e-learning platforms and overall student satisfaction. According to obtained results, we propose a smart education knowledge management system based on Artificial Intelligence to avoid loss of pedagogical knowledge and cover learning environment complexities and users' constraints.

KEYWORDS
Smart Education, Artificial Intelligence, Knowledge Management, Pedagogical Engineering, e-Learning

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Meriyem Chergui , Aziza Chakir , Hajar Mansouri , "Smart Pedagogical Knowledge Management System," Universal Journal of Educational Research, Vol. 8, No. 12, pp. 6585 - 6597, 2020. DOI: 10.13189/ujer.2020.081223.

(b). APA Format:
Meriyem Chergui , Aziza Chakir , Hajar Mansouri (2020). Smart Pedagogical Knowledge Management System. Universal Journal of Educational Research, 8(12), 6585 - 6597. DOI: 10.13189/ujer.2020.081223.