An Intelligent Architecture based on Cloud Computing for Electronic Education Systems Evaluation (ICCEESE)

Document Type : Persian Original Article

Authors

1 Department of Computer, Faculty of Engineering, Velayat University, Iranshahr, Iran

2 Department of Information Technology Engineering, Faculty of Electrical and Computer Engineering, University of Sistan & Baluchestan, Zahedan, Iran

Abstract

Various systems such as an education system should adapt with the increasing development of technology and use it for pursuing their purposes. Hence, the concept of EE or web based education is considered in the recent years. Beside the various advantages of this highly useful model of education, limitations such as absence of proper infrastructure, improper resource efficiency, and hardware and software resource management cost, exist. This paper aims to tackle the mentioned challenges through benefitting from the advantages of CC. For this purpose, after introducing CC technology, its advantages in EE System (EES) and the related works are given. The proposed intelligent architecture for a cloud-based EES is presented afterwards which is applicable for various courses in different educational systems. A comprehensive application layer and an intelligent and highly flexible evaluation mechanism are some of the advantages of this architecture that result in higher user satisfaction and performance improvement. Other benefits include accurate insight to the system user roles, their accessible sections, and accordingly considering the required sections in the cloud management layer. After examining different methods of implementing the proposed architecture, it has been evaluated against customary EES and also the recently presented cloud-based architectures. Finally, aside from showing its superiority, the proposed steps towards transition to the proposed superior architecture and also its limitations are discussed.

Keywords

References

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Journal of Soft Computing and Information Technology
Volume 9, Issue 2 - Serial Number 28
Summer
July 2020
Pages 100-114

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