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Headings of Vestnik

August 2019, № 4 (222), pages 117-133

doi: 10.25198/1814-6457-222-117

Shukhman A.E., Belonovskaya I.D., Zaporozhko V.V., Polezhaev P.N., Ushakov Yu.A. E-LEARNING COURSES DEVELOPMENT INTELLECTUAL METHODS FOR ADAPTIVE LEARNINGModern professional education is characterized by a steady trend towards the transition to digitalization and personification of training. Modernization of professional education is currently associated with the introduction of adaptive, practice-oriented and flexible educational programs. At the same time, existing platforms for creating e-learning courses, for example, the most popular system Moodle, do not yet have the ability to intellectualize the learning process, flexibly adapt the educational content to the individual needs of students, do not contain convenient intellectual tools to support developers of online courses, automate routine operations for structuring educational content.
To solve these problems, we have analyzed approaches to the development of e-learning courses, identified development stages and requirements for e-learning courses, developed a model of e-learning courses and a model of data collected in the process of e-learning. Based on the developed models, we suggest intelligent methods for creating e-learning courses: an algorithm for structuring materials for an e-learning course, an algorithm for hierarchical classification of materials for a course according to thematic blocks, an algorithm for primary ranking of educational items in complexity and significance, an algorithm for initial determination of the dependencies between blocks and elements of a course. Logical and physical architecture of an intelligent platform for creating and maintaining courses for Moodle has been developed.
The use of intelligent platforms for the creation and maintenance of electronic e-learning courses will significantly increase the efficiency of the course authors and will expand the choice of courses in the regional digital educational environment, which will positively affect the quality of training.Key words: electronic educational courses, information technology in education, machine learning, data mining.

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About this article

Authors: Shuhman A.E., Belonovskaya I.D., Zaporozhko V.V., Polezhaev P.N., Ushakov Yu.A.

Year: 2019

doi: 10.25198/1814-6457-222-117

Editor-in-chief

Sergey Aleksandrovich
MIROSHNIKOV

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