Assistive Technology and Secure Communication for AI-Based E-Learning

Benachour, Phillip and Emran, Muhammad and Alshaflut, Ahmed (2023) Assistive Technology and Secure Communication for AI-Based E-Learning. In: AI-Based Digital Health Communication for Securing Assistive Systems :. IGI Global, pp. 1-21. ISBN 9781668489383

Abstract

Assistive systems are growing rapidly with assistive technology (AT) in all sectors and organizations around the world. To protect the content and resources of an assistive system, AT instructors need to ensure they are secure. The aim of this research is to enhance the learning capacity, training facility, self-learning, security of E-learning links, and re-usability of e-learning tools. Here, the accessibility of these links and services for improving the assistive system depends on the emerging AT. The method proposed for this research is artificial intelligence (AI) which enhances all aspects of assistive systems. A virtual learning environment (VLE) is one of the academic E-learning tools integrated with AI which enhances the learning capacity and other required facilities. As a result, low-cost assistive tools with easily up-gradable solutions according to the individual learning disability are identified. Further, the results attained are analysed, discussed, and the performance of identified assistive tools with AI concepts is summarised.