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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
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Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Декомпозиция трудности заданий теста читательской грамотности

Вопросы образования. 2023. № 3. С. 92–112.
Ivanova A., Antipkina I.

The current study investigates the question of test difficulty decomposition depending on the characteristics of items (such as: format, belonging to the type of text to which the item belongs) and the reader's actions required to answer it (search for information in the text, simple conclusions, complex conclusions, critical interpretation of the text). The sample of the study consisted of fourth grade elementary school students in Krasnoyarsk, who completed the computerized test of reading literacy "Progress" in the spring of 2022. Research method: psychometric modeling using the LLTM+e model. Research hypothesis: the decomposition of item difficulties will help to prove that the reading actions required to complete the tasks will form a hierarchy of difficulties similar to traditional taxonomies (B. Bloom), that is, reading skills aimed at analyzing, synthesizing, interpreting information will give tasks greater difficulty than simple conclusions, and those, in turn, will make tasks more difficult than the reader's actions to find information in the text. The results show that the assignment of items to the group of reader's actions is a significant factor. The size of the effects does not allow us to speak of a strict hierarchy, but when other attributes are controlled, the tasks for information retrieval in an explicit form are easier for students than the tasks for complex conclusions and for critical understanding of the text.

Research target: Education Psychology
Language: Russian
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Keywords: чтениетестированиеreadingtestingначальная школаelementary schoolLLTMLLTMмоделирование трудности заданий
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