Established in 2012, the Institute of Education (IOE) is one of the key R&D units at the National Research University Higher School of Economics, the leader of the QS Rankins in Education Russia.
At IOE, we research, train, and network to craft a better world through better education. Our supreme commitment is to contribute to robust, evidence-centric policy and practice so everyone benefits from positive change in education and development.
We boast world-class expertise brought by 250+ research and teaching faculty, including academics of international renown, who have diverse backgrounds and are into various scholarly strands.
Our R&D portfolio comprises a vast range of projects—including high-caliber partnerships with QS top-rank institutions and global policy powerhouses—that cut across educational realms.
May to August
Sharpen your edge, unlock new research vistas, and build up your network with IOE International Summer Schools
A leading global venue to share the latest and most relevant research insights into higher education and beyond
A series of weekly seminars that foregrounds topics central to modern educational research, policy, and practice
Digital economy, 2022: Pocket data book
This pocket data book contains the most recent statistical data representing the level and dynamics of the digital economy development in the Russian Federation. International comparisons are provided for a number of indicators.
The data book includes information of the Russian Federal State Statistics Service (Rosstat), Ministry of Digital Development, Communications and Mass Media of the Russian Federation, Federal Customs Service of Russia, Russian Central Bank (Bank of Russia), European Statistical Office (Eurostat), Organisation for Economic Cooperation and Development (OECD), International Telecommunication Union (ITU), United Nations Conference on Trade and Development (UNCTAD), UN Department of Economic and Social Affairs, World Intellectual Property Organisation (WIPO), Scopus database, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.
M.: National Research University Higher School of Economics, 2022.
The effect of visual parameters on nonsymbolic numerosity estimation varies depending on the format of stimulus presentation
The extent to which the approximate number sense is based on the estimation of continuous visual properties has been widely discussed. Some investigators have hypothesized that humans are able to estimate numerosity directly and independently of visual cues. Other investigators have posited that numerosity can be processed only via the estimation of non-numeric visual properties. The latter theory is confirmed by the existence of the congruency effect, that is, greater accuracy in congruent trials where visual properties were positively correlated with numerosity compared with that in incongruent trials. In this study, we tested the assumption that the congruency effect, reflecting the bias in numerosity estimation due to the estimation of visual cues, varies depending on the format of the stimulus presentation and object heterogeneity. The study involved a sample of pupils in Grades 5–9 from Kyrgyzstan (N = 764; 48% girls; mean age = 13.06 years), whereby participants performed a nonsymbolic comparison test in four formats of stimulus presentation: paired/homogeneous, paired/heterogeneous, mixed/homogeneous, and mixed/heterogeneous. Compared arrays of figures might be congruent or incongruent for one visual parameter (convex hull or cumulative area), whereas another visual parameter was held constant for two arrays. The results of generalized linear mixed-effect models demonstrated that the largest congruency effect occurred in a paired format with homogeneous figures. The congruency effect was insignificant in the mixed/heterogeneous format. The results also revealed that the effects of the convex hull and cumulative area varied in different formats of stimulus presentations.
Journal of Experimental Child Psychology. 2022. No. 224. P. 105514.
Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning
In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.
A Struggle for Definition: Explanatory Models of Satanism in SociologyMany terms used both in sociology and lay discourse have nonscientific origins. Therefore, it is important to clarify the meanings of these concepts to understand the heuristic capacities that they have for scientific research. The notion of satanism emerged in evangelical manuscripts, and it has since appeared repeatedly in political and juridical discussions. Moreover, there are conflicting opinions about the suitability of this notion for sociological study. In this paper, I use critical concept analysis and a critical perspective on religion to examine sociological discourse on satanism. I argue that to enhance sociology—and religious studies in general—among contemporary views of satanism, the naturalist model is the most promising, but it is not the only one that should be used to explain this notion.
OSF Preprints. OSF, 2021
- Russia, 101000, 16 Potapovskiy Pereulok, Building 10.
- Underground Stations: Lubyanka, Turgenevskaya, Chistye Prudy, Sretenskiy Bulvar.
Office of IOE Director Evgeniy Terentev:
+7 (495) 623-52-49.
Graduate School of Education:
Tel: +7 (985) 386 6349, 8 (499) 877 5471
Media & Communications Office:
tel: + 7 (495) 772 9590, ext. 22839