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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
‘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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College Students’ Responses to Automated Feedback on Self-Regulated Learning

Educational Assessment. 2026. P. 1–26.
Yu E. C., Lui A., Andrade H., Akhmedjanova D., Franklin D., Bryer J.

Feedback often promotes student learning. Research has focused on delivering high-quality feedback, yet too little is known about how students respond to feedback, and whether and why it serves its intended purposes. This study is an investigation of how college students responded to feedback on their self-regulated learning (SRL). After taking an online assessment of their SRL skills, newly enrolled students at one online and one traditional university received tailored feedback. They then wrote an essay in which they summarized their results and feedback, identified strategies for improving their SRL, and committed to using them. Content analysis of 97 essays revealed key components of feedback-processing models, including judgment, meaning making, and decision making, as well as variation in students’ uptake of the recommended strategies. Exploratory correlational analysis suggested that lower commitment to strategy use was associated with lower academic success. Implications for college readiness and advising are noted.

Research target: Education Psychology
Language: English
DOI
Text on another site
Keywords: content analysisessays feedbackself-regulated learningautomated feedback
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