OPTIMIZATION OF THE LEARNING PROCESS ON ADAPTIVE TRAINING COMPLEXES

The article deals with the approach to solving the problem of optimization of the educational process using adaptive training complexes. During the analysis of the subject area it was found that there is no detailed and formalized model of the learning process with the use of training complexes. For...

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Bibliographic Details
Published inInternational Multidisciplinary Scientific GeoConference : SGEM Vol. 19; no. 5.4; pp. 229 - 236
Main Authors Karpushkin, Sergey, Krasnyanskiy, Mikhail, Dedov, Denis, Obukhov, Artem, Arkhipov, Alexey
Format Conference Proceeding
LanguageEnglish
Published Sofia Surveying Geology & Mining Ecology Management (SGEM) 01.01.2019
Subjects
Adaptation
Community colleges
Creativity
Education
Efficiency
Information systems
Integrated approach
Knowledge management
Learning
Mathematical models
Multiple criterion
Optimization
Organizations
Physiology
Psychophysics
Scientific research
Software
Training
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Summary:The article deals with the approach to solving the problem of optimization of the educational process using adaptive training complexes. During the analysis of the subject area it was found that there is no detailed and formalized model of the learning process with the use of training complexes. For this reason, it is also difficult to set and solve the problem of optimizing the learning process. Therefore, the authors propose the necessary mathematical support to formalize the learning process at the training complexes. The presented model includes a description of the psychophysical parameters of the student, which allows to adapt the learning process to the individual characteristics of the person, to improve the efficiency of learning in General. The article proposes an approach to optimizing the process based on the solution of multi-criteria problem, as the criteria selected time and quality of training, as well as the cost of its organization. The results of scientific research presented in the article are universal and can be used in the further study, organization and optimization of learning processes in various subject areas.
ISSN:1314-2704
DOI:10.5593/sgem2019/5.4/S22.031