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July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.

 

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Изучение и моделирование совместной деятельности в сетевых сообществах

M. : Московский городской педагогический университет, 2024.
Patarakin Y.

The monograph is dedicated to the practice of studying and modeling collaborative activities in the educational process. The foundation of the monograph consists of case studies obtained during training or research. It is intended for students of pedagogical specialties who aim to gain a deeper understanding of the mechanisms that determine the behavior of participants in educational network communities, such as Wiki, Scratch, and MESH. The study of behavior is based on the analysis of traces left by participants on digital objects. These traces allow us to reveal the dynamics of collaborative activity. The book offers open tools for modeling and analyzing collaborative activity, contributing to the development of effective methods of pedagogical practice in the digital space.

Research target: Education Sociology (including Demography and Anthropology
Language: Russian
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Keywords: многоагентное моделированиесетевое сообществоcommunityagent based modelingNetLogoNetlogoSemantic MediaWikiSemantic MediaWiki
Изучение и моделирование совместной деятельности в сетевых сообществах
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