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October 6, 2026
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The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
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Как современная психометрика может изменить тестирование интеллекта детей и подростков в России

Психология. Журнал Высшей школы экономики. 2024. Т. 21. № 1. С. 101–122.
Kanonire T., Федерякин Д. А., Логвиненко Т. И., Orel E., Куликова А. А.

The assessment of intellectual development in children and adolescents is an essential component of psychodiagnostics, facilitating an understanding of the nature of learning difficulties. Intelligence tests have a history that spans more than a century, and even contemporary versions of widely used intelligence tests (such as the Wechsler or Stanford-Binet tests) are limited by the influence of their traditional paper-based formats. Never theless, the advent of computational capabilities and the digitalization of tests have led psychometrics to experience substantial development, opening new possibilities for assessment. The complete application of modern psychometrics holds the promise of revolutionizing the measurement of intelligence. This paper presents the current situation of measuring intelligence in children and adolescents in the world and in Russia. It describes the potentialities presented by modern psychometrics, including the utilization of innovative task formats such as technology-enhanced items, the integration of universal design principles in test development, the adoption of computerized adaptive testing (CAT) and multistage testing (MST) methodologies, the application of multidimensional IRT models to establish both construct and criterion validity, the shift from discrete norms to continuous scaling, and the incorporation of longitudinal measurements. The combination of these features within a computerized intelligence testing framework will enhance respondents' motivation and simplify the test administration process. It will facilitate frequent assessments of a child's progress by presenting varying test versions on each occasion, thereby significantly reducing errors in administration and scoring, while also safeguarding against misuse by non-professionals. 

Research target: Psychology
Language: Russian
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Keywords: психометрикаСовременная теория тестирования (IRT)psychometricsкомпьютерное адаптивное тестированиедети школьного возрастаSchool childrenintelligence testsitem response theory (IRT)multistage testingcomputirezed adaptive testingтесты интеллектамногоступенчатое тестирование
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