Abstract:
For the distance learning systems, consideration is given to generation of
individual tasks with minimization of execution time. As a criterion, the convolution
of two weighted normalized values associated with the deviation of the complexity of
the generated test from the specified level and the quantile of the test execution time
is used. The gamma distribution model is used to describe a model of a student's
random response time to a task. An algorithm is proposed for estimating the
parameters of the gamma distribution for each task. It is assumed that task
complexities are determined either by an expert or by using corresponding algorithms
based on the Rush model. The results of a numerical experiment are presented.