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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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What Are the Differences in Perception of Gender Disparities in Academia? A Survey of Academics from Russia

Educational studies. 2024. Vol. 1. No. 3. P. 88–109.
Pilkina M.

This study examines the perception of gender issues in academia in the Russian context. Specifically, the paper aims to reveal the criteria due to which academics might perceive gender-related problems in academia in different ways. The research was conducted among 901 men and women academics with Russian affiliation. The survey was presented as a 20-item anonymous online questionnaire with five major blocks, covering up various gender-related topics. By surveying men and women academics from the Russian academic environment, it reveals that most academics, in their perception, had never experienced gender inequality in the current workplaces. However, for those with such experience, the share of all given gender disparities women academics has ever encountered during their academic career is higher compared to men. The most common gender disparities, namely low chances for career promotion and barriers from rising to senior-level positions reflect career promotion gaps relevant for both men and women academics. The results also demonstrate that gender inequality is mostly not considered as a problem of academic environment but rather a social issue. In particular, most men academics and, to a lesser extent, women academics strongly disagree with considering gender inequality as the academic problem. The paper provides an example for addressing gender disparities issues for men and women academics and assessing perception of gender inequality and, conversely, equality.

Research target: Social Sciences Education
Language: English
Full text
DOI
Text on another site
Keywords: perceptiongender disparities genderacademia
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