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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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Contest design and solvers' engagement behaviour in crowdsourcing: The neo-configurational perspective

Technovation. 2024. Vol. 132. Article 102986.
Tekic A., Alfonzo Pacheco D. V.

Companies face the challenges of attracting solvers and motivating them to dedicate their time and effort to develop solutions in crowdsourcing contests. Previous research emphasizes the importance of crowdsourcing contest design for fostering solvers' engagement. However, even though contests are designed as a combination of various design elements, such as seeker's identity disclosure, seeker's status, contest duration and monetary prize, prior studies primarily focused on independent effects of these elements, ignoring their interdependency. Building our study on the social exchange theory, we adopt the neo-configurational perspective to explore effective designs of crowdsourcing contests and contribute to our understanding of how contest design elements interact to jointly stimulate solvers' engagement. By the means of the fuzzy-set Qualitative Comparative Analysis of 277 contests, we show that the combination of long contest duration and high monetary prize plays a significant role in attracting solvers to join crowdsourcing contests, while these elements need to be additionally reinforced by the seeker's identity disclosure and its high status to motivate solvers to actually commit to problem solving. In this way, our study provides unique insights about the differences between contest designs that only initially attract solvers and designs that actually motivate them to create value for seeker companies. It fills the gap where previous research failed to embrace the configurational character of contest design, while offering unique guidance to managers who struggle to attract solvers to join and contribute to crowdsourcing initiatives.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: crowdsourcingco-creationsocial exchange theory open innovationcontest designfsQCA
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