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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
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You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
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Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Подготовка IT-специалистов в российских вузах: статистический анализ

Вопросы статистики. 2022. Т. 29. № 6. С. 74–83.
Melikyan A.

The article presents the results of a statistical analysis of trends in the change in the number of students studying in IT specialties in Russian higher educational institutions, and also, based on the econometric methods of data analysis, characterizes universities with a high number and a significant proportion of students studying in information technology programs. The novelty of this study, according to the author, lies in the fact that the calculations are made on the basis of a large sample taking into account changes in its dynamic characteristics (information on the activities of 611 universities and 467 university branches for 2015/2016, 2017/2018 and 2019/2020 academic years was studied).
Statistical analysis showed that in Russia only a few universities specialize in training students for IT field. So, in the 2019/2020 academic year, more than 60% of students studied in IT specialties in nine higher educational institutions alone. At the same time, IT-specialists are trained in half of the universities and in a third of the country's university branches. Over the period from 2015/2016 to 2019/2020 academic year, the number of students enrolled in IT specialties has increased in Russia by 31%.
The regression analysis of the data revealed a positive relationship between the indicators of the number of students in IT specialties in universities (total number, absolute increase in the number and their share in total student body) and the following indicators: share of young professionals in the total number of faculty members; number of partner enterprises; number of technology parks and small businesses in the university; income from research and development and number of publications in Scopus. A negative relationship is observed between the number of students in IT specialties and the share of persons with academic degrees in the total number of faculty members, as well as between the share of students in IT specialties in the total number of students and the indicators of internationalization of the composition of students and teaching staff.
The proposed approach made it possible, on the basis of a representative sample of Russian higher education institutions, to assess the relationship between the indicators of the number of IT students at the university and the results of its activities in the areas considered, as well as to determine the characteristics of higher education institutions that made a significant contribution to the training of IT specialists.
The results of the study presented in the article may be of interest to the universities that plan to significantly increase the number of students in the coming years and improve the quality of admission of applicants for training in IT specialties.

Research target: Education
Language: Russian
Full text
DOI
Keywords: информационные технологиистатистические методырегрессионный анализregression analysisstatistical methodsподготовка IT-специалистов information technologieshigher education statisticsстатистика высшего образованияtraining of IT specialists
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