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News
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
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
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.
October 6, 2026
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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Validity evidence of the internal structure of the DAACS Self-Regulated Learning Survey.

Future Review: International Journal of Transition, College, and Career Success. 2018. Vol. 1. No. 1. P. 1–18.
Lui A., Franklin D., Akhmedjanova D., Gorgun G., Bryer J., Andrade H., Cleary T.

The Diagnostic Assessment and Achievement of College Skills (DAACS) online system assesses newly
enrolled college students’ skills in reading, writing, mathematics, and self-regulated learning, and
provides individualized feedback and links to resources. The purpose of this study is to examine validity
evidence regarding the internal structure of the DAACS Self-Regulated Learning (SRL) self-report
survey. Factor structure was initially examined using maximum-likelihood exploratory factor analysis
with varimax rotation on a pilot sample (n = 682). Based on the results, as well as the intended uses of the
survey and expert opinion, two confirmatory factor analysis models were tested: the measurement model,
and the instructional model. Validity evidence regarding the survey’s internal structure were gathered
using a new sample of 6,644 adult learners at an online university. The confirmatory factor analysis
results, correlations, and internal consistency reliability estimates suggested acceptable model fit for both
the measurement and instructional models. Both models were retained to serve different purposes.

Research target: Education Psychology
Language: English
Keywords: reliabilitymotivationconfirmatory factor analysisconstruct validitymetacognitionself-regulated learningexploratory factor analysis
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