Using of machine learning, neural networks, Internet of Things, blockchain technologies in education
https://doi.org/10.21122/2309-4923-2025-3-68-73
Abstract
The purpose of the article is to study the using of technologies: machine learning (ML), neural networks (NN), Internet of Things (IoT) and blockchain (BC) to improve the effectiveness of education. Thestudyexaminesthe limitations of traditional educationandtheimpactof digitalization. Theadvantagesandsystems from the separate use of machine learning and neural networks are presented: predicting academic performance, analyzing student behavior, and verifying knowledge. The IoT architecture in education is considered, consisting of three levels: perception, network and applications. The process of integrating ML, NN, IoT, and BC technologies has been developed, including data collection using IoT devices, analytical data processing using ML and NN, and reliable data storage using blockchain. Based on this scheme, the structure of the integration system is proposed, consisting of modules for data collection, intelligent analysis and storage, confirmation, and data protection.
About the Author
U. A. Vishnyakou
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Uladzimir Anatolyevich Vishnyakou ‒
Doctor of Science, Professor.
Minsk
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Review
For citations:
Vishnyakou U.A. Using of machine learning, neural networks, Internet of Things, blockchain technologies in education. «System analysis and applied information science». 2025;(3):68-73. (In Russ.) https://doi.org/10.21122/2309-4923-2025-3-68-73
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