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  • Готовность к изменениям в высшей школе: почему преподаватели работают "по старинке", а студенты учатся "для корочки"?
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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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Готовность к изменениям в высшей школе: почему преподаватели работают "по старинке", а студенты учатся "для корочки"?

С. 223–230.
Garmonova A., Shcheglova D.

The authors deal with the research problem in the evaluation of the universities’ teachers' readiness for the changes in higher education in Russia. The Bologna norms implementation, teaching and learning process, academic freedom, mobility, and the formation of a competitive academic market, remain the “frame” for changes in higher education. The authors used a list of questions about teachers assessing the inner academic mobility, the success of the transition to a two-level system, the perception of competition in the academic market, the possibility of scientific work, and internal academic mobility. The results showed that the higher education reform was not accepted by the university teaching staff as a good way to change. An institutional distrust of the reforms was also investigated. The paper was based on data obtained in the framework of the project “The  Russian Masters' early growth”, the winner of the scholarship program of the Vladimir Potanin Foundation.

Language: Russian
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Keywords: Болонский процесспреподаватели вузовmaster’s degree programмагистранты Bologna process in RussiaHigher education reform in RussiaРеформа высшего образования в России
Publication based on the results of:
"Рождение российской магистратуры" - комплекс взаимосвязанных мероприятий (2018)

In book

Тенденции развития образования: как спланировать и реализовать эффективные образовательные реформы
Издательский дом «Дело» РАНХиГС, 2020.
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