The prototype of the system for the formation of an individual learning path
Objective. The purpose of the study is to identify the dependence of the quality of education in a general educational organization on the educational environment.Method. To determine the influence of various factors on the quality of education, an artificial neural network was trained, for which st...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Russian |
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Dagestan State Technical University
2023-08-01
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| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
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| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1284 |
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| _version_ | 1849250192506748928 |
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| author | T. G. Aslanov M. Sh. Abidova M. M. Maksudov H. Yu. Tagirov M. M. Magomedov |
| author_facet | T. G. Aslanov M. Sh. Abidova M. M. Maksudov H. Yu. Tagirov M. M. Magomedov |
| author_sort | T. G. Aslanov |
| collection | DOAJ |
| description | Objective. The purpose of the study is to identify the dependence of the quality of education in a general educational organization on the educational environment.Method. To determine the influence of various factors on the quality of education, an artificial neural network was trained, for which statistical data were previously collected on the participants in the educational process in the ANEO “Knowledge House”.Result. An artificial neural network has been implemented, which makes it possible to identify the dependence of individual elements of the educational environment on the quality of education in a general educational organization. The training of the artificial neural network showed an insignificant error in the assessment on a ten-point scale, which, when converted to a five-point system, was about 0.5 points.Conclusion. The proposed method makes it possible to qualitatively and quantitatively assess the progress of students using an artificial neural network according to data that correlates with the progress of a student in an educational organization. |
| format | Article |
| id | doaj-art-c2f3a7334efc466f9894175fc4064ac7 |
| institution | Kabale University |
| issn | 2073-6185 2542-095X |
| language | Russian |
| publishDate | 2023-08-01 |
| publisher | Dagestan State Technical University |
| record_format | Article |
| series | Вестник Дагестанского государственного технического университета: Технические науки |
| spelling | doaj-art-c2f3a7334efc466f9894175fc4064ac72025-08-20T03:57:21ZrusDagestan State Technical UniversityВестник Дагестанского государственного технического университета: Технические науки2073-61852542-095X2023-08-01502354010.21822/2073-6185-2023-50-2-35-40782The prototype of the system for the formation of an individual learning pathT. G. Aslanov0M. Sh. Abidova1M. M. Maksudov2H. Yu. Tagirov3M. M. Magomedov4Daghestan State Technical UniversityLimited Liability Company “For Education”Limited Liability Company “For Education”ANOOO “House of Knowledge”ANOOO “House of Knowledge”Objective. The purpose of the study is to identify the dependence of the quality of education in a general educational organization on the educational environment.Method. To determine the influence of various factors on the quality of education, an artificial neural network was trained, for which statistical data were previously collected on the participants in the educational process in the ANEO “Knowledge House”.Result. An artificial neural network has been implemented, which makes it possible to identify the dependence of individual elements of the educational environment on the quality of education in a general educational organization. The training of the artificial neural network showed an insignificant error in the assessment on a ten-point scale, which, when converted to a five-point system, was about 0.5 points.Conclusion. The proposed method makes it possible to qualitatively and quantitatively assess the progress of students using an artificial neural network according to data that correlates with the progress of a student in an educational organization.https://vestnik.dgtu.ru/jour/article/view/1284neural networkinformation recoveryeducationtrajectoryelementsquestionnaireestimationrangelearningsample |
| spellingShingle | T. G. Aslanov M. Sh. Abidova M. M. Maksudov H. Yu. Tagirov M. M. Magomedov The prototype of the system for the formation of an individual learning path Вестник Дагестанского государственного технического университета: Технические науки neural network information recovery education trajectory elements questionnaire estimation range learning sample |
| title | The prototype of the system for the formation of an individual learning path |
| title_full | The prototype of the system for the formation of an individual learning path |
| title_fullStr | The prototype of the system for the formation of an individual learning path |
| title_full_unstemmed | The prototype of the system for the formation of an individual learning path |
| title_short | The prototype of the system for the formation of an individual learning path |
| title_sort | prototype of the system for the formation of an individual learning path |
| topic | neural network information recovery education trajectory elements questionnaire estimation range learning sample |
| url | https://vestnik.dgtu.ru/jour/article/view/1284 |
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