The Influence of YouTube Videos on the Learning Experience of Disabled People During the COVID-19 Outbreak Khalaf Mohammed Tahat , Walaa Al-Sarayrah , Said A. Salloum , Mohammed Habes , and Sana Ali 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 experi- ences. Thus, the results highly supported technology acceptance and usage during the global healthcare crisis. Moreover, the researchers also recommended evalu- ating other aspects of YouTube Videos that can influence people with disabilities about their social media usage, especially during an emergency like Covid-19. Keywords ICTs learning Á YouTube videos Á Social Networking Sites (SNSs) Á Disabilities Á Technology acceptance Á Covid-19 K. M. Tahat Journalism Department, Mass Communication College, Yarmouk University, Irbid, Jordan W. Al-Sarayrah Faculty of Computer Science, Jordan University of Science and Technology, Irbid, Jordan S. A. Salloum (&) Machine Learning and NLP Research Group, Department of Computer Science, University of Sharjah, Sharjah, UAE e-mail: ssalloum@sharjah.ac.ae S. A. Salloum School of Science, Engineering, and Environment, University of Salford, Salford, UK M. Habes Department of Radio and Television, Mass Communication College, Yarmouk University, Irbid, Jordan S. Ali Department of Mass Communication, Allama Iqbal Open University, Islamabad, Pakistan © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 A.-E. Hassanien et al. (eds.), Advances in Data Science and Intelligent Data Communication Technologies for COVID-19, Studies in Systems, Decision and Control 378, https://doi.org/10.1007/978-3-030-77302-1_13 239