Decentralized Edge Intelligence for Big Data Analytics-Assisted E-Learning

Abstract

Data has always been important in making decisions. Data is being created at an exponential rate due to technological advancements. In every corner of the world, there is a tidal surge of data. Every element of a company, including educational institutions, has access to digital data. Social networking, smartphones, and the World Wide Web are just a handful of the methods used to generate this massive amount of data. Virtual learning environments have been gathering up speed recently, owing to the advancements revealed in their assistance and the sheer number of terminals directly or indirectly associated with them. Online education, computer-assisted instruction, virtual education, learning, virtual learning environments, and digital educational cooperation are all examples of e-learning. A unique trustworthiness-based methodology is proposed to strengthen data security in computer-supported collaborative learning environments, taking into account the vital security-related concerns in e-learning.