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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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They Think They Use AI: Assessing the Relations Between Attitudes Toward AI and AI Proficiency Among University Students

Ch. 6. P. 26–29.
Ivanova A., Tarasova K., Talov D.

As AI becomes an integral part of education and the future job market, understanding how students perceive and use it is more important than ever. This study explores Russian university students' attitudes toward AI and examines the relationship between their attitudes and their actual skill to use AI effectively. To assess students' AI perceptions, researchers used a questionnaire covering four key factors: interest in AI, perceived AI experience, AI's value for the future, and AI-related risks. AI proficiency was measured through a practical test in which students had to create an effective prompt for a large language model. The results revealed that many students actually struggled with prompting. Those who had more perceived experience with AI performed slightly better (r = 0.20), as did students who showed a stronger interest in AI (r = 0.12). However, the overall connection between AI attitudes and actual proficiency was weak. Notably, students who viewed AI as a risk were less likely to see it as valuable for the future (r = −0.09), but this did not significantly impact their interest in AI or their perceived experience with it. Ultimately, while students express a high level of interest in AI, their ability to use it effectively remains limited.

Language: English
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Keywords: AIpromptingAI risksAI values AI attitudes

In book

2025 5th International Conference on Artificial Intelligence and Education (ICAIE)
Suzhou: Institute of Electrical and Electronics Engineers Inc., 2025.
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