SYSTEM FOR LEARNING PROCESS OPTIMIZATION

Development of distance education in Russia has formed a number of requirements for the modernization of the educational process. An important achievement has been revealed the ability to customize the process of education as a consequence of introduction of information technology into distance learning. Thus it became necessary to determine the student’s personal knowledge and skills as well as his personal characteristics and preferences. It is required to use the model of the student for the design of individual learning path. If we create a model taking into account most important characteristics of the student and their importance in the learning process, as well as their relationship, it is possible to obtain the parameters of the learning process, which will determine the individual learning path. When forming an individual learning path, it is desirable to consider the student’s current knowledge and skills; usually for this purpose entrance tests on the discipline are held in distance learning system. However, for successful mastering material it is also necessary to take into account the student’s personal particularities that are important for determination of training duration and intensity, as well as his preference in educational process. In the course of the material analysis devoted to optimization of educational process we have allocated 10 factors that influence the learning process most of all: character features / memory particularities, behavior, self-organization, existence of free time, willingness to learn, the presence of any other interests unrelated to educational activities, optional activities, communication with other students and teachers, support of others, health and financial status. Each of these factors is important itself and as well all they impact to one another. The paper considers the interrelated influence of the factors and also the weights of factors indicating the level of factor influence on the learning process. Factor values ​​are determined for each student individually before the learning path designing. A part of the values ​​is determined by various tests (for example, character particularities and ability to self-organization), and the rest by the survey of trainees. The mathematical model of individual learning trajectory designing for each student takes into account the ratio of factors. Subject to the weighting factor obtained for each factor it is possible to determine the recommendations for learning. The total load is determined by many normalized weights for each factor. It is particularly important in the process of further education, self-education, and in distance learning system as well.

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