Internet of Things (IoT) application in the assessment of learning process

The spread of Coronavirus has changed the common life of students over the world. As a result of following international guidelines, all educational institutions are required to work remotely to reduce the contagion of the spread of Coronavirus. Web-based technologies and the Internet have become po...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2021-09, Vol.1184 (1), p.12002
Main Authors: Jasim, Nabaa A., Salim AlRikabi, Haider Th, Farhan, Mansour S.
Format: Article
Language:English
Subjects:
an education platform
Classrooms
Colleges & universities
Coronaviruses
Distance learning
e-learning
Internet of Things
Internet of things (IoT)
Learning programs
Monitoring
Online instruction
Raspberry Pi
Student retention
System effectiveness
Virtual environments
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Summary:The spread of Coronavirus has changed the common life of students over the world. As a result of following international guidelines, all educational institutions are required to work remotely to reduce the contagion of the spread of Coronavirus. Web-based technologies and the Internet have become popular platforms for developing and introducing distance learning programs in the online classroom. Therefore, an application designed specifically to support e-Learning effectiveness named E-Learning Motivation Systems (E-LMS) changes in the teaching-learning process, monitoring and tracking of student performance. this article aims to identify and propose a low-cost, effective and flexible platform, This platform is designed to monitoring preliminary data on student access to, and participation in, virtual classroom environments and activities. In an initial case study conducted at the electrical engineering department at Wasit University. According to the evaluation results, E-LMS Motivation is an effective support tool for educators in pedagogical monitoring and student performance analysis, significantly contributing to improved student retention and promotion rates
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/1184/1/012002