E-learning has become an important part of our educational life with the
development of e-learning systems and platforms and the need for online
and remote learning. ICT and computational intelligence techniques are
being used to design more intelligent and adaptive systems. However, the
art of designing good real-time e-learning systems is difficult as
different aspects of learning need to be considered including challenges
such as learning rates, involvement, knowledge, qualifications, as well
as networking and security issues. The earlier concepts of standalone
integrated virtual e-learning systems have been greatly enhanced with
emerging technologies such as cloud computing, mobile computing, big
data, Internet of Things (IoT), AI and machine learning, and AR/VT
technologies.
With this book, the editors and authors wish to help researchers,
scholars, professionals, lecturers, instructors, developers, and
designers understand the fundamental concepts, challenges, methodologies
and technologies for the design of performant and reliable intelligent
and adaptive real time e-learning systems and platforms. This edited
volume covers state of the art topics including user modeling for
e-learning systems and cloud, IOT, and mobile-based frameworks. It also
considers security challenges and ethical conduct using Blockchain
technology.