Bayesian approach to the construction of an individual user trajectory in the system of distance learning

The paper considers the task of forming an individual user path for a distance learning system (LMS) with a mixed form of conducting educational activities with organization of independent work of students using LMS. At the end of each section of the training course, the LMS users are divided into categories determined by the solution of the Bayesian classification problem. For each category, an individual task of a different level of complexity is proposed for the next section of the course, thus forming the individual trajectory of the student. The Bayesian classifier is set up based on statistics of work of the users of LMS. The experimental results of solving the problem at one of the stages of training are presented.