Optimization of the Student Assessment Algorithm Based on Classification Methods

The didactic characteristics of the process of assessing students are analyzed in the article on the basis of the concept of learning outcomes and classification theory for the automation of assessment in e-learning and distance educational technologies. Approaches to establish the correspondence of the completed educational tasks to the learning outcomes with the distinction of variable learning tracks are grounded. The formulation of the problem of constructing a classification scheme and an estimation algorithm for use in artificial intelligence systems is presented. The conditions and limitations of the approach are identified.