Mathematical modeling of the system for assessing students’ assimilation level of the university educational portal material using neural network technology

The article analyzes the methods of evaluating universities’ educational portals effectiveness. Among the methods considered, the following were identified: assessment of the formal educational materials’ compliance with regulatory documents; the method of expert assessments; a Web-analytical approach using SEO audit; a combined approach; the method of information and semantic systems ISS and the graphical method of Euler-Wien diagrams. The article offers an approach to the representation of the university educational portal structure in the form of an oriented graph. As a criterion for the effectiveness of the university educational portal organization, it is proposed to use the total time spent by a student on each page of the educational portal for one session of work. In this case, the total time is represented as a function of the page views sequence and the viewing time for each page. The article puts forward an approach to determining the quality of educational information presentation and the effectiveness of training by evaluating the time spent by students on each page of the educational portal. The article suggests the application of an artificial neural network in processing data regarding the time of students' stay on the educational portal. A direct-directed artificial neural network with two hidden layers was chosen as an artificial neural network. The approach proposed in the article can be utilized in the organization of both interactive learning using information technology tools and distance learning.

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