E-learning Methodologies - Fundamentals, technologies and applications (Hardcover)

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.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Computing and Networks
Release date:	April 2021
Editors:	Mukta Goyal (Assistant Professor) • Rajalakshmi Krishnamurthi (Assistant Professor) • Divakar Yadav (Associate Professor)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover - Cloth over boards
Pages:	352
ISBN-13:	978-1-83953-120-0
Categories:	Books > Social sciences > Education > Higher & further education > Open learning & distance education Books > Social sciences > Education > Educational resources & technology > General Promotions
LSN:	1-83953-120-7
Barcode:	9781839531200

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