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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.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
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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Инструменты оценки групповой и командной работы студентов в высшем образовании: систематический обзор литературы

Высшее образование в России. 2025. Т. 34. № 4. С. 118–143.
Kutuzov A., Богданова А. В.

Teamwork is an essential part of professional life and cooperation skills are necessary for students for successful employment. The main task of higher education is to increase the competitiveness of graduates in the job market by creating educational programs aimed at teamwork skills development. A reliable measurement method is needed to observe progress of these skills. That is why assessment tools for students’ teamwork development play an important role in higher education. The review reveals key issues and contradictions in the assessment of group and team work in higher education. By analyzing traditional methods (expert assessment, peer assessment, normalized approaches) the study demonstrates their possible vulnerability to subjectivity, cognitive biases and social factors. Meanwhile automated algorithms, digital trace analysis and multimodal learning analytics have high potential to capture students’ real contributions and the dynamics of their interactions. However, these technologies are still poorly understood and represented in the scientific literature on group and teamwork and their perception by students remains ambiguous. One of the key findings of the study is that most existing approaches evaluate only the final result, ignoring the process of developing team skills and the changing roles of participants over time, and this limitation leads to unfair distribution of grades and decreased student motivation. The paperwork emphasizes the need to move to hybrid assessment models that combine quantitative digital data with high-quality pedagogical expertise. The presented findings are based on an analysis of 43 empirical studies and show that the future of team assessment lies in the integration of digital technologies that can keep a close watch on student interactions in real time, identify patterns of collaboration and ensure fair grade distribution.

Research target: Education
Language: Russian
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Keywords: group workгрупповая работаformative assessmentформирующая оценкавзаимооценкаpeer assessmentцифровые следыteamworkautomated assessmentdigital tracesexpert assessmentучебная аналитикакомандная работаавтоматизированная оценкаdigital footprints learning analyticsTeamwork skillsдинамика командыкомандные навыки
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