INFORMATION TECHNOLOGY OF CONDUCTING THE LEARNING PROCESS ON THE BASIS OF SELF-ORGANIZING MEANS OF KNOWLEDGE CONTROL

The need for effective organization of the educational process in institutions of higher education raises urgent problems of its informatization. The analysis of literary sources established that the existing systems with the possibility of adaptation are inefficient, developed without taking into account the methods and means of self-organization, do not meet the modern requirements of education. An approach to the tasks of creating knowledge control systems is proposed, which is based on scientific results obtained in the theory of information interaction. In order to ensure a sufficient level of research on methodological problems related to the learning process, the features of information interaction during automated learning were analyzed using structural schemes of traditional and computer-based learning processes, information flows between their components. The relevance of applying and improving methods related to measuring the level of knowledge and tracking their transformation in the learning process is considered. The transformation of information and its transformation into knowledge in the learning process is represented by an information scheme with defined stages. As a result of the analysis of the features of information interaction during automated training, it was determined that systems capable of adapting to the level and structure of learning knowledge can be truly effective. A description of the development and use of knowledge control tools in educational testing based on the scientific and methodological basis of the theory of information interaction is presented. It is proposed to develop the scientific foundations of student knowledge modeling in adaptive means of knowledge control systems through the reflection of information interaction processes in the subject area of study. The uncertainty of the state of knowledge and the formation of the survey technology is presented using the method of calculating the estimate of the joint conditional probability of knowing the answer to the question of the discipline according to individual conditional probabilities. A method of self-organization of the knowledge model was built in order to adapt the survey or training technology to the level and distribution of knowledge of the person studying in the subject area of the discipline. It performs the function of optimizing the sequence of questions asked, performs an analysis of the existing macro-informational knowledge model of the learner, and determines the question, the answer to which will maximally change the definition of this model. Schemes of information flows and information interaction in the self-organization module of the knowledge model are presented. The main dependencies of information processes have been implemented.