sapiСистемный анализ и прикладная информатика«System analysis and applied information science»2309-49232414-0481Belarusian National Technical University10.21122/2309-4923-2025-3-68-73sapi-765Research ArticleИнформационные технологии в образованииInformation technologies in educationИспользование технологий машинного обучения, нейронных сетей, интернета вещей, блокчейна в образованииUsing of machine learning, neural networks, Internet of Things, blockchain technologies in educationВишняковВ. А.VishnyakouU. A.

Вишняков Владимир Анатольевич ‒ Доктор технических наук, профессор.

г. Минск

Uladzimir Anatolyevich Vishnyakou ‒ Doctor of Science, Professor.

Minsk

vish2002@list.ruБелорусский государственный университет информатики и радиоэлектроникиБеларусьBelarusian State University of Informatics and RadioelectronicsBelarus202516102025036873Copyright © Вишняков В.А., 20252025Вишняков В.А.Vishnyakou U.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sapi.bntu.by/jour/article/view/765

 Целью статьи является исследование использования технологий машинного обучения, нейронных сетей, интернета вещей и блокчейна для повышения эффективности образования. В рамках исследования рассмотрены ограничения традиционного образования и влияние цифровизации. Приведены преимущества и системы от отдельного использования машинного обучения и нейронных сетей: прогнозирование успеваемости, анализ поведения студентов, проверка знаний. Рассмотрена архитектура интернета вещей в образовании, состоящая из трех уровней: восприятия, сетевой и приложений. Разработан процесс интеграции технологий машинного обучения, нейронных сетей, интернета вещей и блокчейна, включая сбор данных с использованием устройств интернета вещей, аналитическая обработка данных с помощью машинного обучения и нейронных сетей, надежного хранения данных, используя блокчейн. На основании этой схемы предложена структура системы интеграции трех технологий, состоящая из модулей сбора данных, интеллектуального анализа и хранения, подтверждения, защиты данных.

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.

машинное обучениенейронные сетиинтернет вещейблокчейнобразованиеmachine learningneural networksInternet of thingsblockchaineducationReferencesAdedoyin OB, Soykan E. Covid-19 pandemic and online learning: challenges and opportunities. Interactive learning environments. 2023;31(2):863-875. DOI: 10.1080/10494820.2020.1813180Adedoyin OB, Soykan E. Covid-19 pandemic and online learning: challenges and opportunities. Interactive learning environments. 2023;31(2):863-875. DOI: 10.1080/10494820.2020.1813180Xiong Y, Ling Q, Li X. Ubiquitous e-teaching and e-learning: china’s massive adoption of online education and launching MOOCs internationally during the COVID-19 outbreak. Wireless communications and mobile computing. 2021;2021(1):6358976. DOI: 10.1155/2021/6358976Xiong Y, Ling Q, Li X. Ubiquitous e-teaching and e-learning: china’s massive adoption of online education and launching MOOCs internationally during the COVID-19 outbreak. Wireless communications and mobile computing. 2021;2021(1):6358976. DOI: 10.1155/2021/6358976Shafiq H, Wani ZADr, Mahajan IM, Qadri U. Courses beyond borders: Acase study of MOOC platform Coursera. Library philosophy and practice (e-journal). 2017;(November):1566. Available at: https://digitalcommons.unl.edu/libphilprac/1566/Shafiq H, Wani ZADr, Mahajan IM, Qadri U. Courses beyond borders: Acase study of MOOC platform Coursera. Library philosophy and practice (e-journal). 2017;(November):1566. Available at: https://digitalcommons.unl.edu/libphilprac/1566/Thompson C. How Khan Academy is changing the rules of education. Wired Magazine. 2011;July 15. Available at: http://resources.rosettastone.com/CDN/us/pdfs/K-12/Wired_KhanAcademy.pdfThompson C. How Khan Academy is changing the rules of education. Wired Magazine. 2011;July 15. Available at: http://resources.rosettastone.com/CDN/us/pdfs/K-12/Wired_KhanAcademy.pdfOliveira PC, Cunha CJCA, Nakayama MK. Learning Management Systems (LMS) and e‒learning management: an integrative review and a research agenda. Journal of Information Systems and Technology Management. 2016;13(2):27-44. DOI: 10.4301/S1807-177520160002000001Oliveira PC, Cunha CJCA, Nakayama MK. Learning Management Systems (LMS) and e‒learning management: an integrative review and a research agenda. Journal of Information Systems and Technology Management. 2016;13(2):27-44. DOI: 10.4301/S1807-177520160002000001Canfield W. ALEKS: A web-based intelligent tutoring system. Mathematics and computer education. 2001;35(2):152-158.Canfield W. ALEKS: A web-based intelligent tutoring system. Mathematics and computer education. 2001;35(2):152-158.Wang H, Woodworth K. Evaluation of Rocketship Education use of DreamBox Learning`s online mathematics program. SRI International; 2011. 14 p. Available at: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://info.discoveryeducation.com/rs/063-SDC-839/images/ef-2011-08-SRI_Rocketship_Evaluation.pdfWang H, Woodworth K. Evaluation of Rocketship Education use of DreamBox Learning`s online mathematics program. SRI International; 2011. 14 p. Available at: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://info. discoveryeducation.com/rs/063-SDC-839/images/ef-2011-08-SRI_Rocketship_Evaluation.pdfYoung A, Verhulst S. Creation immutable, stackable credentials through blockchain at MIT. GOVLAB; 2018. 9 p. Available at: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://blockchan.ge/blockchange-credentials.pdfYoung A, Verhulst S. Creation immutable, stackable credentials through blockchain at MIT. GOVLAB; 2018. 9 p. Available at: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://blockchan.ge/blockchange-credentials.pdfHsieh W, Bi Z, Jiang C, Liu J, Peng B, Zhang S, et al. A comprehensive guide to Explainable AI: from classical models to LLMs. arXiv preprint; 2024:2412.00800. DOI: 10.48550/arXiv.2412.00800Hsieh W, Bi Z, Jiang C, Liu J, Peng B, Zhang S, et al. A comprehensive guide to Explainable AI: from classical models to LLMs. arXiv preprint; 2024:2412.00800. DOI: 10.48550/arXiv.2412.00800Veselinov R, Grego, J. Duolingo effectiveness study: final report. City University of New York; 2012. 24 p. Available et: https://www.languagezen.com/pt/about/english/Duolingo_Efficacy_Study.pdfVeselinov R, Grego, J. Duolingo effectiveness study: final report. City University of New York; 2012. 24 p. Available et: https://www.languagezen.com/pt/about/english/Duolingo_Efficacy_Study.pdfGamage SHPV, Ayres JR, Behrend MB. A systematic review of trends in using Moodle for teaching and learning. International Journal of STEM Education. 2022, 9:1-9. DOI: 10.1186/s40594-021-00323-xGamage SHPV, Ayres JR, Behrend MB. A systematic review of trends in using Moodle for teaching and learning. International Journal of STEM Education. 2022, 9:1-9. DOI: 10.1186/s40594-021-00323-xSunusi A. Developing an access control system for students identification in higher institutions of learning using biometric technnique. Kampala International University; 2019. 105 p. p. Available et: https://ir.kiu.ac.ug/bitstreams/013cfa6f-0d99-4250-b695-05d28caf7897/downloadSunusi A. Developing an access control system for students identification in higher institutions of learning using biometric technnique. Kampala International University; 2019. 105 p. Available et: https://ir.kiu.ac.ug/bitstreams/013cfa6f-0d99-4250-b695-05d28caf7897/downloadVishnyakov VA, Kachan DA. Blockchain technology in education and IT medicine: models, algorithms, software: monograph. Minsk: RISH; 2023. 184 p. (In Russ.). Available at: https://libeldoc.bsuir.by/handle/123456789/52599Vishnyakov VA, Kachan DA. Blockchain technology in education and IT medicine: models, algorithms, software: monograph. Minsk: RISH; 2023. 184 p. (In Russ.). Available at: https://libeldoc.bsuir.by/handle/123456789/52599Tan E, Lerouge E, Du Caju J, Du Seuil D. Verification of education credentials on European Blockchain Service Infrastructure (EBSI): Action research in a cross-border use case between Belgium and Italy. Big data and cognitive computing. 2023;7(2):79. DOI: 10.3390/bdcc7020079Tan E, Lerouge E, Du Caju J, Du Seuil D. Verification of education credentials on European Blockchain Service Infrastructure (EBSI): Action research in a cross-border use case between Belgium and Italy. Big data and cognitive computing. 2023;7(2):79. DOI: 10.3390/bdcc7020079BitDegree-project review. Available et: https://vc.ru/u/387242-terra-cognito/91972-bitdegree-obzor-proekta (accessed: 11.01.2025).BitDegree-project review. Available et: https://vc.ru/u/387242-terra-cognito/91972-bitdegree-obzor-proekta (accessed: 11.01.2025).Grether W, Kolvenbach S, Ruland R, Schutte J, Torres Ch, Wendland F. Blockchain for education: Lifelong learning passport. Proceeding of 1st ERCIM Blockchain workshop. 2018. Pp. 3-7. DOI: 10.18420/blockchain2018_07Grether W, Kolvenbach S, Ruland R, Schutte J, Torres Ch, Wendland F. Blockchain for education: Lifelong learning passport. Proceeding of 1st ERCIM Blockchain workshop. 2018. Pp. 3-7. DOI: 10.18420/blockchain2018_07Hoglund J, Lindemer S, Furuhed M, Raza S. PKI4IoT: Towards public key infrastructure for the Internet of Things. Computers and security. 2020,89(7):101658. DOI: 10.1016/j.cose.2019.10165Hoglund J, Lindemer S, Furuhed M, Raza S. PKI4IoT: Towards public key infrastructure for the Internet of Things. Computers and security. 2020,89(7):101658. DOI: 10.1016/j.cose.2019.10165

The authors declare that there are no conflicts of interest present.