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  • Проблемы и перспективы дистанционного образования в университетах России (по результатам контент - анализа).
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Проблемы и перспективы дистанционного образования в университетах России (по результатам контент - анализа).

С. 18–20.
Сидорова Л. П.

The article deals with the attitude of the Russian scientific community towards distance education at universities. To identify the main range of the most pressing problems related to this topic, using the method of multidimensional content analysis using the LEKTA computer package, text arrays of Russian-language scientific publications that relate to the field under study were studied. The article presents the results of a comprehensive analysis that allows a reader to get an idea of ​​the most important thing. In particular, the article focuses on the consideration of problems related to the organization of students' work and the interaction of participants in the educational process.problems in the field of online university education, as well as possible prospects for solving and overcoming them.

Language: Russian
Full text
Keywords: дистанционное образованиеучебный процессcontent analysisteacherпреподавательdistance educationдистанционные образовательные технологииlearning processстудентконтент - анализstudentdistance learning technologies

In book

Информация и образование: границы коммуникаций INFO’22: сборник научных трудов
Вып. 14. , БИЦ ГАГУ, 2022.
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