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  • Выявление академически неуспешных студентов на первом году обучения в университете на примере НИУ ВШЭ-Нижний Новгород
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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Выявление академически неуспешных студентов на первом году обучения в университете на примере НИУ ВШЭ-Нижний Новгород

Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки. 2016. № 2(42). С. 136–143.
Shadrina E. V., Oshmarina O. E., Булычева П. А.

The article suggests the analysis of factors influencing academic success of the first year university students. Analysis was held with the help of statistics methods and methods of data mining. For the initial data the researcher takes information about students obtained by on-line system, which supports the educational process in HSE - LMS (Learning Management System). The research identified those students who are under the risk to have academic failure. The results of the research were presented in the form of recommendations to the supervisors of the relative educational program to pay attention to the students under the risk and to help them in their studies (individual recommendations of a teacher, additional lessons, etc.) 

Research target: Mathematics Sociology (including Demography and Anthropology Computer Science
Priority areas: sociology IT and mathematics
Language: Russian
Full text
Keywords: data miningdecision treeинтеллектуальный анализ данныхon-line questionnaacademic success in the universityдерево принятия решенийонлайн анкетированиеакадемическая успеваемость в университете
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