An intelligent system for monitoring and analyzing competencies in the learning process

The article proposes an intelligent system (a software-analytical complex) based on an artificial neural net-work for managing the educational process based on data received from corporate business units. Modelling business process improvement involves using the Deming cycle. The paper presents a structure (model) of a software-analytical complex that makes it possible to identi-fy and trace explicitly interconnected vertical and horizontal processes, which gives a formalized description of the system that meets the algorithm requirements. There is an ontological model of the program analytics complex structure built; it is linked to a set of solutions using databases and knowledge bases; it is divided into classes of objects and categories with hierarchical relationships between them. In order to share this knowledge, a specific description of this data must be provided to the SAC. This description must be formal enough to be understood by another system and written in the same language. The novelty is in the consideration of a variant of solving the problem of integrating information systems associated with weakly structured subject-oriented information flows of an educational institution using the methods of set theory and category theory. The properties of relations between accounting objects are described at a high abstraction level; it becomes possible to significantly expand the scope of the proposed method for constructing a software-analytical complex based on an ontological model for various subject areas, taking into account the multi-level consideration of the subject area itself, the same consideration of finite and infinite ranges of values. At the same time, the necessary abstraction level is automatically determined to ensure the structural and parametric integrity of the system being formed and the interpretation of the emerging problems of data analysis represented by semantic models.