Modeling the construction of an individual learning path

In this paper, the most important aspect is touched upon - the principle of constructing an individual learning path in the system of open education. At the moment, there is no clear implemented construction method that satisfies both the learner and the teacher. The method proposed in this paper is based on the use of neural network technologies to determine significant input parameters that affect the success rate. At the first stage of determining an individual trajectory, proceeding mainly from theoretical ideas about the diagnosed set, a "draft" version of the list of parameters is formed. This option includes parameters that, according to the expert, should reflect the individual psychological differences of the subjects. The definition of a "draft" version of the initial set of diagnostic features is a difficult formalized task.