TWO-PARAMETRICAL PEDAGOGICAL MODEL OF FORECASTING DISTANCE LEARNING SUCCESS

Abstract

The article studies the two-parametrical model of pedagogical prognostics using a combination of marks of success assessment and accounting time during the remote training. The hypothesis of the research is the assumption that when performing the corresponding procedure of a choice of associative model of forecasting on the basis of a neural network the tutor will possess possibility of obtaining the authentic individual pedagogical forecast of success of pupils’ training in the system of distance learning both by key parameter - total point, and by time criterion. Thereby the distance learning process is diagnosed in its dynamics. The tutor, defining risk and success zones in two-parametrical charts, is capable to differentiate the set of those who just started training remotely into subsets, thereby estimating both the success of the group in general, and the degree of its uniformity by assessing the degree of dispersion of points on the chart.