Survey of The Moroccan Vocational Training's Distance Learning During Coronasvirus Covid-19 Crisis

Published: 5 May 2020| Version 3 | DOI: 10.17632/n8prd2cpng.3
Contributor:
RACHID EL BETTIOUI

Description

The provided data is used to evaluate the Distance learning used by Moroccan Vocational Training Depatement throughout the Coronavirus Covid-19 Crisis. The survey conducted to collect this data concerns a sample of 286 students of two Specialized Institutes of Applied Technology in Morocco. The study involved interviewing, through an online questionnaire, both male and female first and second-year students, aged from 15 to 32 years and the students of bachelor. The period of the survey is from March 16, 2020 and April 26, 2020, time of Coronavirus confinement.

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The survey which was conducted to collect this data concerns a sample of 286 students of two Specialized Institutes of Applied Technology in Morocco. The target population is all the trainees who study in the Specialized Institutes of Applied Technology of Moroccan Vocational training Department. The total number of the students is 1100 and we have selected 286 students. The sample design is a simple random sampling. The reason of choosing this type of sampling is that each element of the population should have the same probability of belonging to this sample in order to have strong representativity. The sample’s size was determined carefully because it has a great importance on the precision of the estimates made on the characteristics of the mother population. Therefore, the size was defined using the formula: n=t2N/(t2 + (2e)2(N-1)) (a). With n is the sample size, s : confidence threshold which we hope to guarantee in our measure (100%-e). t is the margin coefficient which could be deduced from confidence threshold « s ». e is the margin error and N is the whole population. The dataset can be further analyzed using more advance statistical analysis such as regression

Institutions

IMIST Consortium, Departement de l'Emploi et de la Formation professionnelle, Universite Ibn Zohr

Categories

Survey Data Outcomes Assessment

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