THE USE OF NEURAL NETWORKS IN TEACHING STATISTICAL ANALYSIS

The article describes a methodological approach in teaching students how to use neural networks to restore knowledge and skills in statistical analysis in a course on artificial intelligence methods. As part of a pedagogical experiment conducted with students of the 09.03.02 Information Systems and Technologies direction, the artificial intelligence course used methods of context generation using promts, which made it possible to adapt learning to individual needs. The results showed that the use of neural networks contributes not only to the repetition of key concepts, but also to their application in practical tasks. The developed methodology increases students' motivation, develops selfstudy skills, improves the quality of the educational process, and can be recommended for use in related disciplines.

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Publication Details

Journal
CURRENT PROBLEMS OF TEACHING MATHEMATICS AT TECHNICAL UNIVERSITY
Published
2025-01-01
DOI
https://doi.org/10.25206/2307-5430-2025-12-05-09
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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article

THE USE OF NEURAL NETWORKS IN TEACHING STATISTICAL ANALYSIS

Ruslan Bazhenov
CURRENT PROBLEMS OF TEACHING MATHEMATICS AT TECHNICAL UNIVERSITY
Neural Networks and Applications
article

THE USE OF NEURAL NETWORKS IN TEACHING STATISTICAL ANALYSIS

Ruslan Bazhenov
article en

Abstract

The article describes a methodological approach in teaching students how to use neural networks to restore knowledge and skills in statistical analysis in a course on artificial intelligence methods. As part of a pedagogical experiment conducted with students of the 09.03.02 Information Systems and Technologies direction, the artificial intelligence course used methods of context generation using promts, which made it possible to adapt learning to individual needs. The results showed that the use of neural networks contributes not only to the repetition of key concepts, but also to their application in practical tasks. The developed methodology increases students' motivation, develops selfstudy skills, improves the quality of the educational process, and can be recommended for use in related disciplines.

CURRENT PROBLEMS OF TEACHING MATHEMATICS AT TECHNICAL UNIVERSITY(12)
Openalex Percentile: Top 93%
Neural Networks and Applications
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