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October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
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September 30, 2026
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The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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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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