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E-learning Methodologies: Fundamentals, technologies and applications

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Editors: Mukta Goyal 1 ; Rajalakshmi Krishnamurthi 1 ; Divakar Yadav 2
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Publication Year: 2021

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.

Inspec keywords: Big Data; mobile learning; Internet of Things; data analysis; augmented reality; human factors; bioinformatics; artificial intelligence; computer aided instruction; cloud computing; teaching

Other keywords: smart campus; mnemonics; artificial intelligence; IoT workshop course; active learning; student performance prediction; node-RED; elliptic curve cryptosystem; intelligent techniques; authentication protocols; virtual laboratory environment; learning analytics model; bioinformatics algorithms; resource constrained RFID-sensor integrated mobile devices; e-learning systems; computational algorithms; mobile learning; pedagogies; student behavioural engagement prediction; augmented reality; smart e-learning transition; cloud computing; goal-oriented adaptive e-learning; big data; COVID-19; microlearning

Subjects: Computer-aided instruction; Ergonomic aspects of computing; Information networks; Ubiquitous and pervasive computing; Data handling techniques; General and management topics; Internet software

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