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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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Engagement stability in online learning: can supporting attendance disrupt the Matthew effect?

Educational Technology Research and Development. 2026.
Getman A., Adamovich K., Pekeleu M., Costley J.
In press

Supporting student engagement is crucial, as it is a key predictor of academic success in online learning. However, little is known about whether interventions can disrupt self-reinforcing engagement patterns such as the Matthew effect. This study investigates whether personalised feedback on attendance can increase engagement levels and reduce engagement disparities in an online learning environment. We conducted an experiment in which one group of students received personalised reports with attendance analytics, a list of missed webinars for asynchronous viewing, and recommendations to attend live sessions, while a control group received no such support. Results confirmed that prior engagement strongly predicted subsequent participation, consistent with a Matthew effect pattern. The support was associated with modest improvements in synchronous engagement and more stable high participation, while showing no effect on asynchronous engagement. The intervention did not decrease persistence of low engagement, which indicates that engagement gaps persisted. These findings suggest that while personalised support may help sustain synchronous and high engagement to a certain degree, it is insufficient to disrupt cumulative disadvantages in participation.

Research target: Education
Language: English
DOI
Keywords: Matthew Effectonline learningengagementattendance learning analyticspersonalised support
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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