Center for Analytical Research and Modeling in Education
The crossdisciplinary Center brings together leading MCU’s experts in the fields of data analysis, sociological research, and digital transformation of education.
Key areas
- Data analytics in education
The Center carries out research based on the data of the Moscow Electronic School (The MES): mining of the semantic data from The MES; analyzing individual and collective profiles of participants of collaborative network activities; analyzing digital profiles of teachers and students’ digital activity; analyzing the quality of lesson scripts, the amount and content of homework uploaded in The MES; analyzing the causes for the popularity of specific topics and teaching units within The MES Topical Framework.
- Modeling in education
The project research team led by Evgeny Patarakin simulates joint activities of teachers based on the NetLogo multiagent model and studies the impact of influences on the behaviour of agents.
- Digital transformation of education, digital didactics
At the Center, the researchers study the digital transformation of school education in different countries, its impact on changing activities of the teachers, the parent’s role as educational stakeholders. The issues analyzed include digital didactics and new educational formats, such as online lessons, events, and plays. Special attention is paid to the research of the issues of accessibility of education for diverse groups of students and their families during distance learning.
- Sociological studies
The Center conducts independently and assists in organizing sociological studies: develops tools for surveys, focus groups, in-depth interviews, as well as carries out the analysis of the obtained data.
- Advanced training, seminars, network events
The Center delivers the Online Lessons, Events, and Plays program for advanced teacher training, and the Data Analytics in Education program for school principals, teachers, and educators. The Center’s researchers conduct a university-wide methodological workshop on the use of Big Data in education as well as arranges online events, conferences, and other educational opportunities for children and adults.
- Public discussions on the crowdsourcing platform
The Center supports and moderates public discussions on education development on the PREOBRA crowdsourcing platform.
Elena Petryaeva
- PetryaevaEYU@mgpu.ru
- +7 (499) 132-35-09
Research Fellow, Center for Analytical Research and Modeling in Education
PhD, Linguistics
Research Fellow at the Center for Analytical Research and Modeling in Education
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Candidate of Sciences in Economics
Expert at the Center for Analytical Research and Modeling in Education
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Candidate of Social Sciences, Associate Professor
Specialist at the Center for Analytical Research and Modeling in Education
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Doctor of Education Sciences
Leading Research Fellow at the Laboratory of Humanistic Approach in Education
Candidate of Psychological Sciences
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Candidate of Sciences (PhD) in Technical Sciences
Expert at the Center for Analytical Research and Modeling in Education (external employee)
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