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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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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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Development and Validation of the Revised Multicultural Ideology Scale in Germany and Luxembourg

Psychological Reports. 2023. Vol. 126. No. 1. P. 477–501.
Stogianni M., Berry J. W., Grigoryev D., Murdock E., Schmidt L., Back C.

A revised version of the Multicultural Ideology Scale (rMCI) is currently being developed to measure endorsement of multiculturalism in different cultural contexts. This study, which is part of a wider cross-cultural research project, presents the first assessment of the rMCI scale in the German language. The measure aims to cover several attitudinal dimensions of multiculturalism, relevant to the integration of different ethnocultural groups: Cultural Maintenance, Equity/Inclusion, Social interaction, Essentialistic Boundaries, Extent of Differences, and Consequences of Diversity. Two independent datasets were acquired from Germany (N = 382) and Luxembourg (N = 148) to estimate the factor structure of the rMCI using different confirmatory factor analysis techniques. The findings suggest that a 4-factor solution, including Cultural Maintenance, Equity/Inclusion, Social interaction, and Consequences of Diversity, was the best fit for the data. Most of these subscales demonstrated adequate psychometric properties (internal consistency, convergent, and discriminant validity). The 4-factor model of the rMCI was partially invariant across the two ethnic groups and full measurement invariance was established across gender.

Research target: Social Sciences Psychology Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Other social sciences
Priority areas: sociology management state and public administration humanitarian
Language: English
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Keywords: cultural diversitymulticultural ideologyintegration hypothesissocio-cultural integration intercultural relations
Publication based on the results of:
«Новая Русская Диаспора» 30 лет спустя: идентичность, социальный капитал, межкультурные отношения (2020)
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