Loading…

Assessing the Impact of IoT Enabled E-Learning System for Higher Education

In this paper, a hypothetical investigation alongside a genuine review is investigated. The theoretical and empirical results demonstrated the significant impact of IoT in the physical training system in terms of learning and making due factors. Now and again, like the hyper-availability, joint effo...

Full description

Saved in:
Bibliographic Details
Published in:SN computer science 2023-09, Vol.4 (5), p.459, Article 459
Main Authors: Haque, Shameemul, Haque, Md Alimul, Kumar, Devanshu, Mishra, Khushboo, Islam, Farheen, Ahmad, Sultan, Kumar, Kailash, Mishra, Binay Kumar
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a hypothetical investigation alongside a genuine review is investigated. The theoretical and empirical results demonstrated the significant impact of IoT in the physical training system in terms of learning and making due factors. Now and again, like the hyper-availability, joint effort, and exploration of potential open doors, the impact is critical. Eminent advancements, like, the IoT at present, are quickly created in the computerized world and changing the conventional school system into a more versatile, adaptable, and more productive E-learning system, where the enormous number of physical and virtual collaborating objects are engaged with the most common way of learning. IoT is a somewhat developing innovation that works with communication between genuine and virtual items. As it creates and designs, it fills in scale and aspects that impact the setting of our lives, such as education, particularly advanced education; this article focuses on examining the anticipated impact of IoT in unrivaled training. It is anticipated that the Internet of Things will enable the development of intelligent E-learning frameworks capable of anticipating and deciding the specific instructional needs of understudies based on data analysis from related data.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-023-01860-8