Litvinov Vitaliy, Chernihiv National University of Technology (95 Shevchenka Str., 14027 Chernihiv, Ukraine)

Posadska Iryna, Chernihiv National University of Technology (95 Shevchenka Str., 14027 Chernihiv, Ukraine)

Saveliev Maxim, Institute of Mathematical Machines and Systems Problems of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

Language: russian


Urgency of the research. Today the actual tasks in the creation of automated learning systems (ALS) are the following: adding the learning courses with formalized representations of domain fragments; definition of the process strategy of knowledge formalization; integration of formalized knowledge domain with text and graphical representation of the document section.

The next important task is the automation of the learning process in various forms of learning.

Automation of the knowledge control of students using of intermediate and final control on the basis of semantic connection with the domain is another important unsolved problem in the automated learning systems.

Target setting. At the current stage of information technologies development and development in the area of creating of automated learning systems, there is the problem of describing the architectural and functional model of the three functional modules of the automated learning systems, namely formulation of domain knowledge module, learning and knowledge control modules, as well as their further integration.

Actual scientific researches and issues analysis. Recent researches are aimed at adaptive learning system and individualization of the learning process. However, there are a number of unresolved issues relating to the formalization of the domain course, automation of the learning and control processes.

Uninvestigated parts of general matters defining. Despite intensive researches, which are conducted in the development of automated learning systems, the problem of domain course formalization, selection of formalization strategy, automating of the learning process and knowledge control are remained completely unresolved.

The research objective. The aim of this article is the representation and justification for architecture of knowledge-oriented learning system.

The statement of basic materials. According to the proposed architecture in this article, ALS should consist of such basic functional modules: module of domain knowledge generation; learning module; knowledge control module.

Each module of ALS has multi-functionality. The main users of this system are the knowledge engineer, domain expert, the tutor and the student. Integration of functional modules is based on the execution of the main functions of all users. The core of ALS is the knowledge base, therefore the learning system is knowledge-oriented.

Conclusions. The proposed architecture of the automated learning system is beyond the scope of existing systems. Active usage of formalized representations of the domain course allows automating the process of learning in all forms of learning, not only the process of studying the lecture material. Automated knowledge control, mainly the usage of intermediate and final control will increase the level of utilization of the course material and the effectiveness of the student feedback.

Key words:

automated learning system, the knowledge engineer, formalization, learning, automation


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