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The influence of YouTube videos on the learning experience of disabled people during the COVID-19 outbreak

Tahat, KM; Al-Sarayrah, W; Salloum, S; Habes, M; Ali, S

Authors

KM Tahat

W Al-Sarayrah

S Salloum

M Habes

S Ali



Contributors

A-E Hassanien
Editor

SM Elghamrawy
Editor

I Zelinka
Editor

Abstract

A record number of individuals are not attending educational institutions during the Covid-19 outbreak. This situation is highly thought-provoking, yet; the use of new media technology can overcome this challenge. In this regard, this chapter investigated the influence of YouTube usage as an educational tool on the learning process of disabled people during the COVID-19 pandemic. The researchers selected n = 60 individuals working as disability specialists and used structural equation modeling to examine the proposed study model. The results revealed that there is a positive relationship between YouTube videos and e-Learning among disable individuals. Moreover, the quality, ease of use, and texts in the video also contribute to improving the disabled people’s learning experiences. Thus, the results highly supported technology acceptance and usage during the global healthcare crisis. Moreover, the researchers also recommended evaluating other aspects of YouTube Videos that can influence people with disabilities about their social media usage, especially during an emergency like Covid-19.

Citation

Tahat, K., Al-Sarayrah, W., Salloum, S., Habes, M., & Ali, S. (2022). The influence of YouTube videos on the learning experience of disabled people during the COVID-19 outbreak. In A. Hassanien, S. Elghamrawy, & I. Zelinka (Eds.), Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 : innovative solutions against COVID-19 (239-252). Springer. https://doi.org/10.1007/978-3-030-77302-1_13

Online Publication Date Jul 24, 2021
Publication Date Jan 1, 2022
Deposit Date Sep 2, 2021
Pages 239-252
Series Title Studies in Systems, Decision and Control
Series Number 378
Book Title Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 : innovative solutions against COVID-19
ISBN 9783030773014-(hardback);-9783030773045-(paperback);-9783030773021-(ebook)
DOI https://doi.org/10.1007/978-3-030-77302-1_13
Publisher URL https://doi.org/10.1007/978-3-030-77302-1_13
Related Public URLs https://doi.org/10.1007/978-3-030-77302-1