Development and Research of a Simulation Model to Evaluate the Effectiveness of the Intelligent Cloud Educational Environment

Abstract

The article reflects a model of the cloud educational environment, the structure of which is represented by online courses and a hybrid intelligent system that allows you to create and adjust real-time individual trajectories of studying these courses. It was established that, despite its complexity, dynamism, and sometimes uncertainty, it should provide timely and continuous access for each student to starting online courses, their multimedia content and function stably under any load. It is shown that the collaborative work of students also involves the sharing of various educational objects of an online course (for example, webinars, video lectures, and virtual models), each of which requires a certain quality of service (QoS), productivity, the possibility of process planning, resource management. The possibility of using the queuing theory apparatus to create a model of the intelligent cloud educational environment is described. The results of an experimental study of the constructed simulation model are presented. It is concluded that the desired model is adequate and is able to cope with a large flow of students' requests. The proposed model is universal and can be used to develop a cloud-based online learning platform, the software and technology infrastructure of which must meet the needs of a rapidly growing mass of students of online courses.

Keywords

• cloud educational environment
• online course
• hybrid intelligent system
• simulation model
• queuing system
• cloud computing