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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.
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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Information literacy in South Korea: similarities and differences between Korean and international students’ research trajectories

Asia Pacific Journal of Education. 2025. Vol. 45. No. 3. P. 840–855.
Konieczny P., Danabayev K., Kennedy K., Varpahovskis E.

Work on students’ information literacy and research trajectories is usually based on studies of Western, English-speaking students. South Korea presents an opportunity to investigate an environment where Internet penetration is very high, but local Internet users operate in a different digital ecosystem than in the West, with services such as Google and Wikipedia being less popular. The current study is aimed at expanding a small body of research about Korean students’ behaviour regarding how they perceive and use various online research platforms, and in doing so exploring how they differ from non-Korean students, more commonly studied in similar literature. First, we explore what sources students use for study- or work-related assignments as well as personal needs and interests. Second, we look at how they evaluate and use those sources. We find that Korean students use Wikipedia but less so than their peers from other countries, despite their recognition that Wikipedia is more reliable and comprehensive than the alternatives. Their preferences are instead affected by their perception of Wikipedia as providing an inferior user experience and less local content than competing, commercial services, which also benefit from better search engine result placement in Naver, the search engine dominating the Korean market.

Research target: Education Media and Communications Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: Koreasurveyinformation literacyWikipediastudent learningresearch process
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