Internet of things in smart education environment: Supportive framework in the decision-making process

Mohamed Abdel-Basset, Gunasekaran Manogaran, Mai Mohamed, Ehab Rushdy

Research output: Contribution to journalSpecial issuepeer-review

197 Citations (Scopus)

Abstract

The role of education, which propagates knowledge, becomes increasingly significant in the past little years due to the fulminatory expansion in knowledge. Meantime, the model of education process is going via a conversion in which the learning of different students need to be completed in various ways. Therefore, the smart education environment is encouraged. It incorporates different information and communication technologies to activate learning process and adjust to the requirements of different students. The quality of learning process for students can be enhanced through continually monitoring and analyzing the state and activities of different students via information sensing devices and information processing platforms for offering feedback about learning process of different students. The Internet of Things pledges to achieve a great variation in life, goodness of individual's life, and organizations' productivity. Via a vastly dispensed locally smart network of intelligent objects, the IoT has the chance to allow expansions and improvements to essential utilities in various fields, while introducing a novel ecosystem for developing application. Applying the concept of Internet of Things in any education environment will increase the quality of education process because students will learn rapidly, and teachers will fulfill their job efficiently. This paper is designed to illustrate the basic concepts, definitions, characteristics, technology, and challenges of Internet of Things. We also illustrated the role of Internet of Things in building a smart educational process, and also, in making efficient and effective decisions, which is vital in our daily life.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalConcurrency and Computation: Practice and Experience
Volume31
Issue number10
DOIs
Publication statusPublished - 25 May 2019
Externally publishedYes

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