The higher education in Morocco knows a real challenge due to the consequences of covid19. This challenge was effect by the transformation of the teaching mode from face to face (learning at school) into a distance learning (home based learning). This paper reports comparative studies of technologies that used in Moroccan Higher education and the constraints encountered the E-learning mode. The objective of this article is to describe how to success the higher education in this period of confinement via a case study and recommend a proposed solution. The experiments and results that presented in this article are based on data which collected from a private professional training institution and the collaboration of the learners in the field of study.

No abstract

No abstract

Abstract-Kohonen self-organization algorithm, known as "topologic maps algorithm", has been largely used in many applications for classification. However, few theoretical studies have been proposed to improve and optimize the learning process of classification and clustering for dynamic and scalable systems taking into account the evolution of multi-parameter objects. Our objective in this paper is to provide a new approach to improve the accuracy and quality of the classification method based on the basic advantages of the Kohonen self-organization algorithm and on new network functions to pre-eliminate the auto-detected of drawbacks and redundancy.

No abstract