Evaluation Of Distance Learning Quality Based On Pattern Recognition

Abstract

The paper deals with the problem of evaluating the quality of distance learning. A solution is proposed that is based on pattern recognition method. It is realized in a number of learning systems concerning high level programming languages. Special emphasis is given to algorithms that substantially substitute the work of experts when forming state classes of diagnostics objects.