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Selection of a smart and secure education school system based on the internet of things using entropy and TOPSIS approaches.

Authors :
Khan, Habib Ullah
Abbas, Muhammad
Alruwaili, Omar
Nazir, Shah
Siddiqi, Muhammad Hameed
Alanazi, Saad
Source :
Computers in Human Behavior. Oct2024, Vol. 159, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The Internet of Things (IoT) is playing an important role in the development of cars, smart homes and schools. Schools are using IoT technology to enhance student learning, digitize traditional learning and improve academic performance. IoT is rapidly replacing the traditional school system with a modern, smart and safe school system. Several modern education systems are presented in the literature. The difficulty of choosing a smart and safe school system while evaluating the respective merits of different school systems has long been a concern for educators. In this study we proposed a hybrid multi-criteria decision-making method (MCDM) to address the selection Problem. To rank the different smart school systems and evaluate the value of the required parameter, two MCDM-based methods are used: Entropy and TOPSIS (Technique for Preference Ordering by Similarity to an Ideal Solution). Twelve beneficial features were considered that represent the fundamental positive characteristics required to create an intelligent education system. Ten different educational systems are considered as alternatives in order to carry out an evaluation. Entropy is used to measure the importance of each criterion and TOPSIS is used to rank the school systems. In this paper, we propose how the concepts of Entropy and TOPSIS can be used to address the challenge of selecting a safe and smart school system based on IoT. Our investigation selected the IoT-based school system that was found to be the smartest and safest out of a set of schools. Finally, we discuss the evaluation of the proposed research. • Review IoT applications in education and transform traditional schools into smart, secure systems. • Apply hybrid techniques to select a smart and secure school system. • Determine key components of IoT-based school systems via literature analysis. • Use entropy to measure criteria importance and TOPSIS for ranking alternatives. • Identify and prioritize a smart, secure school system in this research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
159
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
178358164
Full Text :
https://doi.org/10.1016/j.chb.2024.108346