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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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Исследование корреляции характеристик деятельности преподавателя с удовлетворенностью дистанционным курсом иностранного языка

Педагогика и психология образования. 2023. № 1. С. 57–71.
Bogolepova S., Пивоварова А. А.

Now that universities compete for applicants, the quality of education and student satisfaction gain a particular significance. Instructors’ professional skills influence both parameters. This holds true for distance (online) teaching and learning, which has recently become a norm in higher education. This study aims to examine the correlation between student satisfaction with a foreign language distance course and instructor characteristics. The characteristics were singled out in the review of literature. The data were gathered through a survey among bachelor students who took a distance course of English for Specific Purposes. The analysis of correlations between professional characteristics of the instructors and the students’ satisfaction with the course demonstrated that professional skills and practices have a significant impact on student satisfaction with distance courses. In distance (online) learning, whether the instructor is able to motivate and engage students has the most significant correlation with student satisfaction. As for foreign language teaching, outlining course expectations, giving constructive feedback, managing class time, delivering the material in an accessible and vivid manner, providing opportunities for practice, bringing in variety and challenge ensure satisfaction, motivation and perceived usefulness of a course. Other crucial factors are whether the distance course is interesting and useful in the students’ perceptions, and the students’ levels of motivation. Instructors should be provided with necessary skills and instruments.

Research target: Education Philology and Linguistics
Language: Russian
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Text on another site
Keywords: дистанционное обучениеonline learningонлайн-обучениекомпетенции преподавателяcourse satisfactiondistance courseinstructor characteristicsteacher competenceхарактеристики деятельности преподавателяудовлетворенность учебным курсом
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