Abstract

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.

Highlights

  • When we think of “face-to-face education” we associate it into the following elements: teacher, learner and the classroom

  • The learners have the ability to track a course anywhere and anytime. This kind of education lacks support and assistance of the trainer when the learner is faced with a problem situation or the learning process is inadequate for each learner style

  • The aim is dual: to manage the current crisis and to reflect on how education systems can recover more vigorously, both led by actors with a renewed sense of responsibility and better equipped to understand the urgency and the need to address the inequality of opportunity and to ensure quality education for every student

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Summary

Introduction

When we think of “face-to-face education” we associate it into the following elements: teacher, learner and the classroom. In this type of education, the learners often work in team, manipulate, produce, create a small workshops group in which learners take responsibility and present their work. The learners have the ability to track a course anywhere and anytime. This kind of education lacks support and assistance of the trainer when the learner is faced with a problem situation or the learning process is inadequate for each learner style. Others suggest a smart detector of learning style to adapt the learning process in E-learning mode [2]

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