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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.
October 7, 2026
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The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
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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Problem-solving support and instructional sequence: impact on cognitive load and student performance

European Journal of Psychology of Education. 2023. Vol. 39. No. 3. P. 1817–1840.
Costley J., Gorbunova A., Courtney M., Chen O., Lange C.

In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with different types of cognitive load and learner performance. University students (n = 254) were randomly assigned to one of three conditions: an explicit instruction first sequence, an unsupported problem-solving first sequence, and a supported problem-solving first sequence. Results show that intrinsic load did not differ across the three conditions, extraneous load was lowest in the explicit instruction first and supported problem-solving first conditions, germane load was highest in the supported problem-solving first condition, and performance was highest in the explicit instruction first condition. Providing insight into specific ways instructional sequencing and problem-solving support can reduce cognitive load; results suggest that either problem-solving activities need support or explicit instruction is needed before problem-solving.

Research target: Education
Language: English
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Keywords: решение задачcognitive loadкогнитивная нагрузкаproblem-solvingWorked examplesInstructional sequenceпоследовательность учебных заданийалгоритмы решения задач
Publication based on the results of:
Examining adult learners’ engagement with online learning platforms in the post-COVID world (2023)
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