E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic

Rahmani, Amir Masoud; Naqvi, Rizwan; Malik, Mazhar; Malik, Tauqeer Safdar; Sadrishojaei, Mahyar; Hosseinzadeh, Mehdi; Al-Musawi, Ali

Abstract

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.

• Journal Article Type: Article
• Acceptance Date: Dec 3, 2021
• Online Publication Date: Dec 7, 2021
• Publication Date: Dec 7, 2021
• Deposit Date: Nov 10, 2022
• Publicly Available Date: Nov 10, 2022
• Journal: Mathematics
• Electronic ISSN: 2227-7390
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 9
• Issue: 24
• Article Number: 3151
• Pages: 3151
• Series Title: Advances in Blockchain Technology
• DOI: https://doi.org/10.3390/math9243151
• Keywords: Internet of Things; COVID-19; e-learning; blockchain; IoT-based e-learning
• Public URL: https://uwe-repository.worktribe.com/output/10130447
• Publisher URL: https://www.mdpi.com/2227-7390/9/24/3151
• Related Public URLs: https://www.mdpi.com/journal/mathematics/special_issues/advances_blockchain_technology