Conceptual Framework for Selecting the Appropriate Cloud Service for E-Learning Systems

Objective: The emergence of the Covid 19 global epidemic crisis has increasingly increased the number of users of e-learning systems. One of the important challenges of these systems is to provide the appropriate hardware and software infrastructure to respond to its growing users and maintain efficiency. The advent of cloud computing has revolutionized the way data storage and access resources are accessed. Easy access through standard network communication mechanisms and automatic resource allocation has made cloud computing an ideal infrastructure for e-learning systems. However, due to the multiplicity of cloud suppliers and the diversity of their services, as well as the various quality of these services components, the issue of choosing infrastructure as a service is a serious challenge for educational institutions. The purpose of this study is to design a conceptual framework for selecting the appropriate cloud service for e-learning systems . Materials and Methods: The present study has tried to follow a mixed approach and use the methods of systematic literature review, fuzzy Delphi, and prioritization of the fuzzy best worst in the form of an exploratory plan, a coherent and comprehensive view of "factors influencing cloud service selection for e-learning" Provide. In the first step, using the method of SLR and meta-combination of findings of 105 scientific sources in the field of cloud service selection, the concepts and categories of the initial framework were extracted. The initial research framework has been used as the input of the fuzzy Delphi study and based on the opinions of experts, the initial framework has been developed, refined and approved. In the final step, with the help of the fuzzy best-worst method, the weight of each of the specific dimensions and elements and the conceptual framework of the research has been compiled and explained . Result and Discussion