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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.
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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Multidimensional Meaning in Life: Turkish Validation of the 3DM Using a Bifactor Model

CYPRUS TURKISH JOURNAL OF PSYCHIATRY AND PSYCHOLOGY. 2024. Vol. 6. No. 4. P. 313–320.
Mustafa Subaşı, Bulut S., Karaman H., Osin E. N.

Recent research highlights the importance of multidimensional measurement in assessing meaning in life. The Three Dimensional Meaning in Life Scale (3DM) is a self-report measure based on a tripartite framework including significance, coherence, and purpose. The present study aimed to assess the psychometric properties of the Turkish version of the 3DM. The first-order confirmatory factor analysis confirmed that the Turkish version replicated the original three-factor structure of the 3DM. The model showed a good fit to the present data. The bifactor model of the 3DM supported a multidimensional structure of meaning in life, and measurement invariance indices demonstrated consistent psychometric properties across gender groups. The 3DM subscales had good reliability, with strong item-total correlations ranging from .47 to .76. They had significant positive associations with meaning in life and well-being indicators. The results provided evidence for the structural and convergent validity of the 3DM. Overall, the Turkish 3DM is a valid and reliable measure.

Research target: Psychology
Language: English
Full text
DOI
Keywords: well-beingcoherencesignificancemeaning in lifepurpose
Publication based on the results of:
Existential foundations of life well-being (2024)
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