Artificial Neural Network in the CATS Training System
This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The main idea of using ANN is to apply it for a specific educational material, so that after completing the course or its separate topic, the student can determine, not only his level of knowledge, witho...
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| Format: | Article |
| Language: | Russian |
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Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center
2019-08-01
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| Series: | Цифровая трансформация |
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| Online Access: | https://dt.bsuir.by/jour/article/view/173 |
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| _version_ | 1832557177355632640 |
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| author | Yu. V. Popova |
| author_facet | Yu. V. Popova |
| author_sort | Yu. V. Popova |
| collection | DOAJ |
| description | This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The main idea of using ANN is to apply it for a specific educational material, so that after completing the course or its separate topic, the student can determine, not only his level of knowledge, without the teacher’s participation, but also get some recommendations on what material needs to be studied further due to gaps in the studied issues. This approach allows you to build an individual learning trajectory, significantly reduce the time to study academic disciplines and improve the quality of the educational process. The training of an artificial neural network takes place according to the method of back propagation of an error. The developed ANN can be applied to study any academic discipline with a different number of topics and control questions. The research results are implemented and tested in the CATS adaptive training system. This system is the author's development. |
| format | Article |
| id | doaj-art-7bdb9f68225f40c8ae74ddcd08a7d4af |
| institution | Kabale University |
| issn | 2522-9613 2524-2822 |
| language | Russian |
| publishDate | 2019-08-01 |
| publisher | Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center |
| record_format | Article |
| series | Цифровая трансформация |
| spelling | doaj-art-7bdb9f68225f40c8ae74ddcd08a7d4af2025-02-03T05:39:02ZrusMinistry of Education of the Republic of Belarus, Establishment The Main Information and Analytical CenterЦифровая трансформация2522-96132524-28222019-08-0102535910.38086/2522-9613-2019-2-53-5994Artificial Neural Network in the CATS Training SystemYu. V. Popova0Belarusian National Technical UniversityThis paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The main idea of using ANN is to apply it for a specific educational material, so that after completing the course or its separate topic, the student can determine, not only his level of knowledge, without the teacher’s participation, but also get some recommendations on what material needs to be studied further due to gaps in the studied issues. This approach allows you to build an individual learning trajectory, significantly reduce the time to study academic disciplines and improve the quality of the educational process. The training of an artificial neural network takes place according to the method of back propagation of an error. The developed ANN can be applied to study any academic discipline with a different number of topics and control questions. The research results are implemented and tested in the CATS adaptive training system. This system is the author's development.https://dt.bsuir.by/jour/article/view/173training systemadaptive training systemcatsartificial neural networkanntraining sampleelectronic teaching and methodical complextestsknowledge testing |
| spellingShingle | Yu. V. Popova Artificial Neural Network in the CATS Training System Цифровая трансформация training system adaptive training system cats artificial neural network ann training sample electronic teaching and methodical complex tests knowledge testing |
| title | Artificial Neural Network in the CATS Training System |
| title_full | Artificial Neural Network in the CATS Training System |
| title_fullStr | Artificial Neural Network in the CATS Training System |
| title_full_unstemmed | Artificial Neural Network in the CATS Training System |
| title_short | Artificial Neural Network in the CATS Training System |
| title_sort | artificial neural network in the cats training system |
| topic | training system adaptive training system cats artificial neural network ann training sample electronic teaching and methodical complex tests knowledge testing |
| url | https://dt.bsuir.by/jour/article/view/173 |
| work_keys_str_mv | AT yuvpopova artificialneuralnetworkinthecatstrainingsystem |