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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.
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