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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Разработка инструмента оценки эффективности экспериментальной деятельности подростков на примере задач с физическим содержанием

Образование и саморазвитие. 2024. Т. 19. № 4. С. 133–147.
Адамский А. И., Kolachev N.

This article focuses on addressing the problem of enhancing the effectiveness of natural science education in schools, particularly in physics, by applying the principle of problem-based learning and designing lessons centered on experimental activity. The foundational unit of this model is a student's action that is motivated, deliberate, and aimed at attempting to solve a task, exploring solutions, and engaging in reflection and generalization of goal-directed actions. However, assessing the effectiveness of such actions requires high-quality research instruments capable of collecting reliable data. To address this challenge, we developed an assessment instrument and empirically tested some psychometric requirements. We hypothesized that the key requirements for such an instrument are: (1) alignment with the structure of activity; (2) multifunctionality and robustness against changes in the evaluator. These requirements were formulated by the authors based on V.V. Davydov's theory of learning activity and the theory of psycho-pedagogical measurement. Data collection was conducted through non-participant observation, with student activity evaluated by independent experts—assessors—using audio and video recordings of experimental lessons in three schools in Yuzhno-Sakhalinsk. The validation of the instrument's requirements was carried out through the analysis of expert judgments and the application of consistency metrics, such as the proportion of matching results and Kendall's nonparametric concordance coefficient. The analysis of the collected data demonstrated that: (a) the developed instrument effectively captures actions related to task-solving in accordance with the theoretical model; (b) the assessments by independent observers yielded similar results, as reflected in acceptable consistency metrics for their evaluations.

Research target: Education
Language: Russian
DOI
Text on another site
Keywords: физиказадачаphysicsobservationнаблюдениесистема оцениванияevaluation systemscience literacyестественно-научная грамотностьэкспериментальная деятельностьинструмент оценкиphysical concept of the worldexperimental activityassessment toolфизическая картина мира
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