E-UNIVERSITY: CONCEPTUAL, TECHNOLOGICAL AND ARCHITECTURAL APPROACHES

Various methods are currently being used in examining the initial "START" knowledge of applicants and their placement for specialties. Studies show that applicants are placed on the decreasing principle in terms of their overall scores at universities. In this case, applicants with a high level of knowledge are placed in the prestigious specialties as medicine and law as they require high results. Though, while applying for other professions, the applicants do not perform enough results on the key disciplines for the profession, they are placed in those professions when the general results enable it. This causes them to face a number of problems while working both in education process and in the industry.To avoid this problem and to place applicants in a specialty that is more relevant to their level of knowledge, the introduction of an individual approach to the evaluation of initial level of knowledge may be more promising.This article presents a modeling of the "evaluation -placement" support system for the individual approach to assessing applicants' knowledge and positioning them in relevant specialties. The main goal of the system is to give each applicant the opportunity to choose and study the specialty that is more relevant to their knowledge and skills, as well as to analyze the results for each discipline along with the overall results. The system is implemented using fuzzy logic based artificial neural networks.The network consists of 100 neurons in the input layer, two hidden layers and one output layer. The number of neurons at the output is the same as the number of specialties taught at university. one of the most promising technologies in assessing students' competence [8]. Intelligent analysis in the educational environment is based on decision making, statistics, pattern recognition, cluster analysis, classification, regression and factor analysis, fuzzy logic, artificial neural networks and other methods [9][10][11][12][13][14][15]. The personalization of education or the determination of individual learning trajectories for each student is also possible through the use of artificial intelligence in the learning process. One of the characteristics of learners is their learning style [16].The trajectory of the personal education is a three-stage process that involves evaluating the basic knowledge and directing to occupations, from the initial assessment to the beginning of education and the stages of the educational process [17].There are many articles in the scientific literature on the use of intellectual systems at different stages of the educational process. A creation concept has been specified for a learning management system of new generation that allows forming individual learning trajectories based on analysis of student's achievements, wishes and peculiarities. Forming individual learning trajectories based on student's achievements and functional state analysis provides the possibility to build educational process automatically that will be suitable for a specific student and satisf...

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