Institute of Education

Research & Expertise to Make a Difference in Education & Beyond

The HSE Institute of Education is a leading interdisciplinary research centre specialising in the study of education systems, policies and practices. With a faculty of over 250 researchers and educators, including internationally renowned scholars, the Institute is a hub for high-impact research, teaching and policy engagement in education.

As part of its Strategy 2030, the Institute is developing into a world-class research school, focusing on understanding educational development and assessing the impact of educational policies. These priorities are reflected in the Institute’s key areas: 

— Artificial Intelligence in Education
— Well-being in Education
— Education and the Labour Market
— Instructional Design
— Comparative Analysis of Education Policy
— Management in Education

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News

How are universities, vocational education systems, and research training responding to new economic, technological, and social challenges? These questions were at the centre of the international forum, “Reconfiguring Education in a Changing World: Russia–China Dialogues on Higher Education, Skills, and Research Training,” held on 12 June at the Graduate School of Education at Peking University.
June 18
Ksenia Tarasova and Daria Gracheva, from the Centre for Psychometrics and Measurement in Education, along with PhD student Nataliia Murashova, represented the HSE Institute of Education at the 2nd International Conference on Artificial Intelligence and Education (ICAIE 2026), held from 13 to 15 May in Taicang, China.
June 16
What is it like to build a research career at the Institute of Education as an international scholar? What motivates ongoing engagement in research? And how easy is it to maintain a work–life balance while living in Moscow? To gain insight into the academic careers of our international colleagues and daily life in Russia, we spoke with Assistant Professor Nazir Jogezai.
June 10

Publications

  • Digital Economy: 2026 : Pocket Data Book

    This pocket data book contains the main indicators reflecting the relevance of digital technologies for enterprises and individuals, the activity of ICT sector enterprises, the infrastructure and personnel of the digital economy.

    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, European Statistical Office (Eurostat), Organisation for Economic Co-operation and Development (OECD), International Telecommunication Union (ITU), UNESCO, UN Department of Economic and Social Affairs, and results of methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.

    In some cases, the presented data specify those published earlier.

    M.: HSE ISSEK, 2026.

  • Article

    Gnezdilov A.

    ‘I wish we could but I don’t want to’: How are secure and defensive national identities related to political behavior in Russia?​

    National identity is a key predictor of political behavior. However, scholars distinguish between its secure and defensive, narcissistic forms. The relationship between defensive and secure forms of national identity and various forms of political behavior was analyzed within the Russian context. Two cross-sectional studies examined how these two forms of national identity may be associated with willingness to participate in various political activities. The results indicated that secure national identification was positively related to pro-establishment political behavior and civic participation, while being negatively related to anti-establishment political behavior. In contrast, national narcissism was positively associated only with pro-establishment political behavior. These findings are interpreted in light of the distinct intragroup consequences of secure versus defensive national identity.

    Peace and Conflict. 2026.

  • Book chapter

    Dvoretskaya I., Alexey Semenov, Uvarov A.

    Exploring Patterns of Information Literacy Development in Schools: Application of Multilevel Latent Class Analysis to School Students Survey Data

    While the literature on digital transformation in education has searched for evidence based practices to improve ICT uptake in school settings, we know little about how schools differ in their approaches. This study aims to overcome the absence of standardized tools that could help to assess the stages and progress of ICT integration in educational settings. By using the example of information literacy development tasks assignment in classroom, we applied a latent class analysis to the survey data obtained from the monitoring the digital transformation of schools in the 2020–21 academic year. Based on the survey data from monitoring the digital transformation of schools, four types of students’ patterns were identified, depending on the information skills tasks assigned to them by their teachers at school. Based on the distribution of students’ patterns of working with information, three typical patterns of schools were identified with the use of multilevel latent class analysis. This study provides evidence for how the development of information literacy differs across schools contexts. As with advent of digital technologies education becomes data intensive domain, new approaches to the big data analysis are encouraged and it can help educators and education policy makers to improve decision-making.

    In bk.: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641). Springer, 2026. P. 253-266.

  • Working paper

    Antipkina I., Ivanov A., Guzhelya D.

    Explicit continuum scale format reduces the ceiling effect in self-report questionnaires comparing to Likert response format

    This study presents a methodology for developing a new questionnaire format called explicit continuum scenario scales, in the example of a client focus questionnaire. Elements of the Rasch Guttman scenario scale methodology were used in its development. In three consequent studies, different aspects of the scale functioning were investigated. In Study 1, on the sample of 100 respondents, it was shown that the explicit continuum scale produces reliable results and helps avoid the ceiling effect shown in the Likert response format version of the client focus questionnaire. In Study 2, the scale was administered in a competition environment, in a sample of 735 people. Despite the positive shift of scores, the instrument shows excellent psychometric characteristics and still resists the ceiling effect. In Study 3, new items were included, and the scale was presented in an interactive format. In the sample of 65,000 university students, it demonstrated the robustness of its psychometrics characteristics including dimensionality. The results of the three studies show that the explicit continuum format has the advantage of the stable dimensionality similar to the expanded format and is promising for measurement in social sciences.

    Basic research program. WP BRP. National Research University Higher School of Economics, 2024

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Contacts

Email us: ioe_hse@hse.ru
  • Underground Stations: Lubyanka, Turgenevskaya, Chistye Prudy, Sretenskiy Bulvar.

Office of IOE Director Evgeniy Terentev:

+7 (495) 623-52-49.

Graduate School of Education:

Svetlana Zhuchkova
szhuchkova@hse.ru

International Affairs Office:

Maksim Nikitin
Tel: + 7 (495) 772-95-90, ext. 22928
menikitin@hse.ru