Perceptions of Neural Network Use in Higher Education: Case Study

The integration of artificial neural networks (ANNs) into various fields, particularly education, has recently garnered considerable attention because of their potential to improve learning processes and optimize administrative tasks. This article aims to explore the potential of neural networks in...

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Главные авторы:	Yesayan, M. L., Есаян, М. Л.
פורמט:	Статья
שפה:	English
יצא לאור:	Cherkas Global University Press 2025
נושאים:	Artificial neural network Learning success Learning Students Teachers Evaluation system
גישה מקוונת:	https://dspace.ncfu.ru/handle/123456789/30684
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

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spelling	ir-123456789-306842025-07-11T09:39:11Z Perceptions of Neural Network Use in Higher Education: Case Study Yesayan, M. L. Есаян, М. Л. Artificial neural network Learning success Learning Students Teachers Evaluation system The integration of artificial neural networks (ANNs) into various fields, particularly education, has recently garnered considerable attention because of their potential to improve learning processes and optimize administrative tasks. This article aims to explore the potential of neural networks in the context of higher education, based on a case study conducted in Southern Federal University. The study employed a mixed methodological approach combining quantitative surveys, pedagogical experiments, and qualitative interviews. The study involved 132 3rd and 4th-year university students divided into a control group (CG) and an experimental group (EG). EG students were subjected to educational processes involving ChatGPT and other ANN-based tools, while CG students adhered to traditional teaching methods. The obtained data were analyzed using mathematical statistics, including Pearson's χ2 test, to compare the digital skills and perceptions of the two groups. According to the results, EG students significantly improved their digital skills compared to CG students. Students generally had a positive opinion about ANNs, recognizing their ability to facilitate learning and save time. However, concerns about the reliability and potential biases of the information provided by ANNs were also noted. The study concludes that ANNs have significant potential to improve the quality of higher education by enhancing learning efficiency and reducing administrative burden. Recommendations for the implementation of ANNs in higher education are provided. The findings show that neural networks in higher education have great potential to improve the learning process. 2025-07-02T13:49:43Z 2025-07-02T13:49:43Z 2025 Статья Dzhaneryan, S., Kima, A., Gutermana, L., Esayan, M. Perceptions of Neural Network Use in Higher Education: Case Study // European Journal of Contemporary Education. - 2025. - 14(1). - рр. 3-12. - DOI: 10.13187/ejced.2025.1.3 https://dspace.ncfu.ru/handle/123456789/30684 en European Journal of Contemporary Education application/pdf Cherkas Global University Press
institution	СКФУ
collection	Репозиторий
language	English
topic	Artificial neural network Learning success Learning Students Teachers Evaluation system
spellingShingle	Artificial neural network Learning success Learning Students Teachers Evaluation system Yesayan, M. L. Есаян, М. Л. Perceptions of Neural Network Use in Higher Education: Case Study
description	The integration of artificial neural networks (ANNs) into various fields, particularly education, has recently garnered considerable attention because of their potential to improve learning processes and optimize administrative tasks. This article aims to explore the potential of neural networks in the context of higher education, based on a case study conducted in Southern Federal University. The study employed a mixed methodological approach combining quantitative surveys, pedagogical experiments, and qualitative interviews. The study involved 132 3rd and 4th-year university students divided into a control group (CG) and an experimental group (EG). EG students were subjected to educational processes involving ChatGPT and other ANN-based tools, while CG students adhered to traditional teaching methods. The obtained data were analyzed using mathematical statistics, including Pearson's χ2 test, to compare the digital skills and perceptions of the two groups. According to the results, EG students significantly improved their digital skills compared to CG students. Students generally had a positive opinion about ANNs, recognizing their ability to facilitate learning and save time. However, concerns about the reliability and potential biases of the information provided by ANNs were also noted. The study concludes that ANNs have significant potential to improve the quality of higher education by enhancing learning efficiency and reducing administrative burden. Recommendations for the implementation of ANNs in higher education are provided. The findings show that neural networks in higher education have great potential to improve the learning process.
format	Статья
author	Yesayan, M. L. Есаян, М. Л.
author_facet	Yesayan, M. L. Есаян, М. Л.
author_sort	Yesayan, M. L.
title	Perceptions of Neural Network Use in Higher Education: Case Study
title_short	Perceptions of Neural Network Use in Higher Education: Case Study
title_full	Perceptions of Neural Network Use in Higher Education: Case Study
title_fullStr	Perceptions of Neural Network Use in Higher Education: Case Study
title_full_unstemmed	Perceptions of Neural Network Use in Higher Education: Case Study
title_sort	perceptions of neural network use in higher education: case study
publisher	Cherkas Global University Press
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/30684
work_keys_str_mv	AT yesayanml perceptionsofneuralnetworkuseinhighereducationcasestudy AT esaânml perceptionsofneuralnetworkuseinhighereducationcasestudy
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Perceptions of Neural Network Use in Higher Education: Case Study

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