Peer-reviewed articles 17,970 +



Title: OPTIMIZATION OF THE LEARNING PROCESS ON ADAPTIVE TRAINING COMPLEXES

OPTIMIZATION OF THE LEARNING PROCESS ON ADAPTIVE TRAINING COMPLEXES
S. Karpushkin;M. Krasnyanskiy;D. Dedov;A. Obukhov;A. Arkhipov
1314-2704
English
19
5.4
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.
conference
19th International Multidisciplinary Scientific GeoConference SGEM 2019
19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
229-236
30 June - 6 July, 2019
website
cdrom
6306
adaptive training complexes; the learning process; formalization; formulation of the optimization problem