STUDYING AND IMPROVING THE KNOWLEDGE CONTROL SYSTEM IN DISTRIBUTED AUTOMATED LEARNING SYSTEMS

Abstract

 This article emphasizes the importance of researching the methods of organizing distributed automated learning systems and developing general principles for constructing knowledge control systems based on the model of differentiated responses of trainees.  At present, software technologies on the basis of personal computers are being actively introduced into the learning process, used to transfer to the student the educational material and control the degree of its assimilation. At the same time, a large number of training systems, including automated systems, that cover various subject areas, have appeared on the market of the software product over the last decade and are designed to solve the tasks of teaching at various stages of a person's life - from primary school to secondary school in higher educational institutions. At the same time, most of the programs are subjective in nature, reflecting the intellectual level of knowledge of authors in the field of programming, and written in accordance with the views of developers on computer learning technology.

This leads to the fact that a number of programs have extremely limited functionality and do not allow to fully understand the trainee's material, and in some cases even discredit the very idea of AOS on the basis of personal computers. Automated Training Systems are software and hardware complexes that include methodological, educational and organizational support for the learning process based on information technology.