A DISCRIMINAT ANALYSIS OF THE RURAL UNIVERSITY YOUTH BENEFIT IN SHARKIA GOVERNORATE FROM THE E-LEARNING SYSTEM THROUGH EMERGING PANDEMIC OF

Labn, Khalid Anwar; Betah, alaa eldien

doi:10.21608/sinjas.2021.111493.1077

	A DISCRIMINAT ANALYSIS OF THE RURAL UNIVERSITY YOUTH BENEFIT IN SHARKIA GOVERNORATE FROM THE E-LEARNING SYSTEM THROUGH EMERGING PANDEMIC OF "COVID-19"
Sinai Journal of Applied Sciences
Article 20, Volume 10, Issue 3, December 2021, Page 600-616 PDF (632.39 K)
DOI: 10.21608/sinjas.2021.111493.1077
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Authors
Khalid Anwar Labn ¹; alaa eldien Betah²
¹Dept. Agric. Econ., Fac. Agric., Zagazig Univ., Egypt.
²Agric. Econ. Dept., Fac. Agric. Saba Basha, Alexandria Univ., Egypt
Abstract
This study aimed to describe and analyze the rural university youth benefit from the e-learning system through the emerging pandemic of “Covid-19”. This research was conducted in Sharkia Governorate, with the social survey method, at Faculty of Agriculture, Zagazig University, a sample of 196 students was selected using the systematic random sampling method, From the college student email database, provided that the student’s place of residence is in the rural areas. The data was collected using an electronic questionnaire sheet that was prepared using Google forms, starting from August until end of September 2020. some statistical methods were used to describe and analysis data such as percentages, measures of central tendency, chi-square test and discriminant analysis. The results of the research revealed that the most important variables that contribute to the interpretation of students’ benefit from the e-learning system are the knowledge of the use of the Internet, the attitude towards technological innovations in the educational process, the clarity of starting the e-learning system, the monthly family income, student satisfaction with e-learning, development of curricula suitable for e-learning, e-learning assessment procedures, social adaptation, institutional support, achievement motivation and ambition, and knowledge of computer use. The value of λ Wilks' lambda between beneficiaries and non-beneficiaries was 0.303, and the value of the chi-square was 224.002, the value of Eta2 was 0.698, this means that the independent variables explain 69.8% of the discrimination between beneficiaries and non-beneficiaries.
Keywords
E-learning; the emerging corona virus; pandemic; rural university youth


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A DISCRIMINAT ANALYSIS OF THE RURAL UNIVERSITY YOUTH BENEFIT IN SHARKIA GOVERNORATE FROM THE E-LEARNING SYSTEM THROUGH EMERGING PANDEMIC OF "COVID-19"