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News
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.
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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.
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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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Sectoral convergence in energy consumption from developing country perspective: The case of Turkey

Energy Efficiency. 2020. Vol. 13. No. 7. P. 1457–1472.
Karakaya E., Sedat Alataş, Yılmaz B.

Recent studies investigating convergence in energy consumption at the sectoral level within a country suggest that aggregate energy consumption could mask considerable differential impacts that might be observed at the sectoral level. This study aims to contribute and complement the existing convergence literature with an attempt to analyze sectoral convergence in energy consumption from the developing country perspective. To this end, we choose Turkey as a developing country and employ both the conventional unit root tests and the residual augmented least squares-Lagrange multiplier (RALS-LM) methodology to investigate stochastic conditional convergence in per capita energy consumption at the sectoral level. Our findings suggest some interesting outcomes that could be relevant from the sectoral energy consumption perspectives for developing countries. While energy consumption in Turkey shows a trending upward, the leading sectors of industry and transport energy consumption per capita diverge from the mean consumption and, therefore, lead to further increases in energy consumption and energy-related emissions. Moreover, agriculture and the other sector, whose consumption per capita values are below the mean, converge towards the mean. Overall, Turkish sectoral energy consumption trends follow developing countries’ patterns, and the empirical findings suggest that this trend is worrying from the sustainability perspective.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: Turkeyenergy consumptionunit rootsectoral strategiesConvergence
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