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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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How adding structure reduces complexity: more interconnections in concept maps do not increase cognitive load

Instructional Science. 2025. Vol. 53. P. 1243–1262.
Costley J., Anastasiia Kapuza, Gorbunova A., Shcheglova I.

Cognitive load theory describes the mechanisms for the transfer of information from human working memory to long-term memory. This theory posits that increasing the number of interactive elements, such as interconnections, may increase cognitive load. This study investigates the impact of interconnections in concept maps on cognitive load, exploring whether they act as interactive elements in working memory increasing cognitive load, or function as structuring elements potentially reducing cognitive load. Well-structured concept maps may potentially lower cognitive load by effectively organizing information. In an experiment with 81 first-year postgraduate students, participants were divided into two groups: one group studied concept maps with fewer interconnections and another one with more interconnections. Results revealed a significant reduction in extraneous cognitive load for the group with more interconnections, while no significant differences were observed in intrinsic or germane cognitive load. These findings align with cognitive load theory and help expand it by suggesting that interconnections act as structuring elements that facilitate learning by organizing knowledge, leading to a decrease in extraneous cognitive load. This research demonstrates that the use of concept maps may optimize cognitive load and shows that the addition of structure in instructional materials doesn’t lead to overload for students.

Research target: Education Psychology
Language: English
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Keywords: экспериментexperimentinstructional designcognitive loadконцептуальные картыкогнитивная нагрузкаconcept mapsпедагогический дизайн
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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