Improving the efficiency of the learning process using the Markov model

We consider a Markovian model of learning consisting of three states: the state of knowledge transfer, the training state, and the state of knowledge control. Taking into account of training time within this model allows one to obtain additional information about competencies of trainees, to estimate the values of latent parameters, and to improve the learning process.