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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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The moderating effects of total comments on the relationship between comment implementation and online peer-supported writing performance

Computers & Education. 2024. Vol. 219. Article 105104.
Shulgina G., Fanguy M., Zhang H., Courtney M., Baldwin M., Costley J.

Prior research has suggested that participation in peer feedback activities, specifically the giving and receiving of comments, and the implementation of suggested ideas helps to improve writing quality. However, it is not always the case that received feedback is implemented. Currently, there is uncertainty regarding how the total number of comments received during a peer feedback activity interacts with the number of implemented comments and subsequent text quality. Therefore, the present study examined the online peer feedback sessions of 186 graduate students enrolled in a scientific writing course at a Korean university. It aimed to investigate the possible moderating effect of the total number of comments on the relationship between implementation of comments and student writing performance. The results showed that there is no relationship between the number of received comments and student writing performance. Furthermore, no significant correlation was observed between the number of implemented comments and student writing performance. However, importantly, a moderating effect of the total number of comments on the relationship between implementation of comments and student writing performance was found. In other words, the more total comments students receive, the less their implementation will be associated with significant improvement of writing quality. This result is significant because it suggests that in online collaborative learning contexts, there is an upper limit of peer comments, above which the original author can no longer effectively implement them to improve writing performance.

Research target: Education
Language: English
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Text on another site
Keywords: commentspeer feedbackwriting performancecomment implementation
Publication based on the results of:
The relationship between self-regulated learning skills, motivation and engagement in the context of learning on online platforms (2024)
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