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  • ВЛИЯНИЕ АКАДЕМИЧЕСКОЙ МОТИВАЦИИ И АДАПТАЦИИ ИНОСТРАННЫХ СТУДЕНТОВ НА УДОВЛЕТВОРЕННОСТЬ ОБУЧЕНИЕМ В ЦИФРОВОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ РОССИЙСКОГО ВУЗА
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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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ВЛИЯНИЕ АКАДЕМИЧЕСКОЙ МОТИВАЦИИ И АДАПТАЦИИ ИНОСТРАННЫХ СТУДЕНТОВ НА УДОВЛЕТВОРЕННОСТЬ ОБУЧЕНИЕМ В ЦИФРОВОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ РОССИЙСКОГО ВУЗА

Человеческий капитал. 2026. № 3(207). С. 239–249.
Fedotova (Goldyreva) V., Константинов В. В.

Successful mastery of the educational process in the digital environment is directly related to the development of academic readiness of international students. The aim of this study was to identify the influence of the components of academic motivation, adaptability to the educational process and to the group on the perception of learning in the digital environment of a Russian university. The respondents were 194 international students from India, China and neighboring countries (Uzbekistan, Tajikistan, Kazakhstan). During the study, the «Scale for Assessing the University's Digital Educational Environment (DOE)» by M. G. Sorokova, the «Scale of Academic Motivation» by T. O. Gordeeva, and the methodology «Sociocultural Adaptation Scales» by J. Wilson were used. The study revealed that for international students at Russian higher education institutions studying in a digital learning environment, the key factors determining their satisfaction are interpersonal communication and internal (introjected) motivation. These two aspects are the main predictors of learning success. Additional factors of importance include proficiency in the Russian language and interest in the learning process itself (cognitive motivation). External incentives (external motivation) also have a slight positive impact on students' satisfaction with their studies. The research findings will enable the development of more effective pedagogical strategies and support methods for international students in the digital learning environment.

Research target: Psychology Education Other social sciences
Language: Russian
DOI
Text on another site
Keywords: ЦИФРОВАЯ ОБРАЗОВАТЕЛЬНАЯ СРЕДА, ИНОСТРАННЫЕ СТУДЕНТЫ, АКАДЕМИЧЕСКАЯ МОТИВАЦИЯ, АДАПТИРОВАННОСТЬ, МЕЖКУЛЬТУРНАЯ АДАПТАЦИЯ
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