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R. V. Mayer

Publications and source records attributed to R. V. Mayer.

3 recordsLinked to original sources

A study of Monte-Carlo method in a teachers' training institute

The problem of Monte-Carlo method study at computer simulation lessons in a Teachers' Training Institute is reviewed in the article. The suggested technique envisages the simulation modelling of various stochastic processes. They include transmission of information via a communication link, oscillation of a pendulum in an air stream, deflection of alpha particles by Au atoms, formation of a percolating cluster, etc. (New educational technologies in higher education institution: the collection of reports of the tenth international scientific and methodical conference. Yekaterinburg, UGTU UPI, 2013).

cs.CY

Various models of process of the learning, based on the numerical solution of the differential equations

The principles on which can be based computer model of process of training are formulated. Are considered: 1) the unicomponent model, which is recognizing that educational information consists of equal elements; 2) the multicomponent model, which is considering that knowledge is assimilate with a various strength, and on lesson weak knowledge becomes strong; 3) the generalized multicomponent model which considers change of working capacity of the pupil and various complexity of studied elements of a training material. Typical results of imitating modeling of learning process are presented in article.

cs.OH

Solve of problems of mathematical theory of learning with using computer modeling methods

Analyzed models of learning, which take into account that: 1) the rate of increase of student's knowledge is proportional to the difference between levels of teacher's requirements and prior knowledge; 2) if the requirements are too high, then student motivation decreases and he stops learning. Was proposed: 1) a one component model, coming from the fact that the training information consists of equal elements; 2) a two component model that takes into account that knowledge is assimilated with varying strength, 'trustworthy' knowledge forgotten much slower then 'weak'; 3) two component model, which takes into account the transition of 'weak' knowledge in 'trustworthy' knowledge. The solution of the five predictors and optimization problems of learning theory are represented.

cs.OH