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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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Exploring ESP Learners’ Motivation: the Case of MOOC Integration into the University Curriculum

Journal of Foreign Language Education and Technology. 2019. Vol. 4. No. 1. P. 21–40.
Stognieva O.

This research examines the problem of motivation as an important variable in language learning including ESP (English for specific purposes). Despite the fact that there are different approaches to cultivating motivation the author suggests considering the potential of massive open online courses (MOOCs) that may help language learners of non-linguistic specialties. This paper describes the results of the integration of MOOCs into the ESP course curriculum at the faculty of Business Informatics of the National Research University Higher School of Economics, Moscow. The integration of the MOOС component in the ESP course demonstrated that the educational outcome, in this case, might be higher than in a traditional course due to such factors as the content of instruction being tailored to the learning needs of IT students, regular and inspiring feedback to the students from the MOOC instructors, the use of interactive teaching materials and a personalized approach to learning. Research findings illustrate that imbedding MOOCs in the university ESP course could become the basis for the integrated study of special subjects and the English language in the international learning community, under the condition that on-campus courses have been re-designed to incorporate MOOC-like component.  

Research target: Education
Priority areas: humanitarian
Language: English
Full text
Text on another site
Keywords: higher educationmassive open online courses (MOOCs)English for specific purposes (ESP)
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