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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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Design of Corpus-Generated EFL Placement and Progress Tests for University Students

P. 148–150.
Marina Kustova
In press
The main aim of the paper is to introduce a tool which makes it possible to generate questions for an EFL placement test and for progress tests required in the course Academic Writing in English. A learner corpus made up of Higher School of Economics student essays and other pieces of academic writing with mistakes outlined and annotated by their English instructors (REALEC) has been used as a source of questions for tests. The system (whose working title is RETM – REALEC English Test
Maker) automatically generates a pool of tasks from the corrected sentences in the corpus, and these tasks are then analysed by an expert and those that are considered to be pedagogically reasonable
are divided into three sets depending on the level of the correction difficulty. During the test, the correction offered by a test-taker is compared with the correction that had been given by an annotator (an EFL instructor). The suggestion is either automatically accepted or rejected, and, correspondingly,
the next question in the test will be either at a higher or lower level of difficulty, or will stay at the same level if the highest or the lowest level has been reached. Even though the process of setting up a test is not fully automated and requires human effort at some stages, it is still much more timesaving than
the traditional ways of composing tests. In conclusion, I outline the points demonstrating advantages of this tool both for instructors and students.
Language: English
Full text
Text on another site
Keywords: корпусная лингвистикаcorpus linguisticsинформационные технологии в образованииEFLанглийский язык как иностранныйplacement and progress tests
Publication based on the results of:
Лексикологические исследования на базе учебного корпуса REALEC (Learner corpus REALEC: Lexicological observations) (2016)

In book

The Future of Education, edition 6
libreriauniversitaria, 2016.
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