Ranking of Barriers for the Internet of Things (IoT) Implementation in E-Learning Platform

Abstract

VK Yadav, S Yadav

Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to the digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organizational alignment, instructor, and student support. This paper aims to identify the critical barriers to Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology used to classify interrelationships between barriers for improved understanding and relation between these barriers, and Management Cross Impact Multiplications Applied to Classification analysis use for analysing driving power and dependence power of E-learning barrier.

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