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Language Proficiency
English
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+7 (495) 772-95-90
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Address: 16 Potapovsky Pereulok, Building 10, room 410
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SPIN-RSCI: 8590-6424
ORCID: 0000-0002-7022-3037
ResearcherID: I-3864-2014
Scopus AuthorID: 8706675700
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Supervisor
E. Kardanova
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Maxim Skryabin

  • Maxim Skryabin has been at HSE University since 2019.

Responsibilities

  • Application of mathematical modeling and data science methods, including machine learning and artificial intelligence, for psychometrical research (computational psychometrics)
  • Analytical or expert work according to the request of the Institute of Education management
  • Presentation of research results at Russian and international conferences,  external and internal seminars of the Institute of Education
  • Advising graduate students of the "Measurements in Psychology and Education" and "Evidence-Based Educational Policy" master programs, as well as employees of the Institute of Education on psychometrical research and statistical data analysis

Education and Degrees

  • 2014

    Master's
    Beijing Normal University

  • 2009

    Candidate of Sciences* (PhD)

  • 2006

    Degree in Applied Mathematics
    Moscow Aviation Institute

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Continuing education / Professional retraining / Internships / Study abroad experience

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2019/2020)

Publications6

Conferences

  • 2019
    XX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Симпозиум «Благополучие и социально-экономическое развитие». Круглый стол Psychological Wellbeing in the Digital Age
  • Эдьютон (Санкт-Петербург). Presentation: Круглый стол "Как нам оценивать цифровые компетенции"
  • 2018
    Международная конференция по новым образовательным технологиям #EdCrunch Томск (Томск). Presentation: Аналитика и данные для трансформации образования
  • Международная конференция по новым образовательным технологиям EdCrunch 2018 (Москва). Presentation: Как данные помогают улучшать процесс обучения? (панельная дискуссия)
  • Международная научная конференция "eLearning Stakeholders and Researchers Summit 2018" (eSTARS) (Москва). Presentation: Адаптивное обучение как зонтичный термин
  • 2017
    Четвертая ежегодная международная конференция "Образование и мировые города: Smart Learning и глобальные университеты" (Санкт-Петербург). Presentation: Учебная аналитика: опыт Stepik
  • European MOOCs Stakeholders Summit 2017 (Мадрид). Presentation: Types of Dropout in Adaptive Open Online Courses
  • The 10th International Conference on Educational Data Mining (EDM 2017) (Ухань). Presentation: Modeling Network Dynamics of MOOC Discussion Interactions at Scale
  • IV Международная конференция по новым образовательным технологиям#EdCrunch 2017 (Москва). Presentation: Что дает новое поколение адаптивного обучения вузам и организациям? (дискуссия)
  • Город IT (Томск). Presentation: Польза IT-специалистам от онлайн-платформ и онлайн-курсов
  • Международная научная конференция «eLearning Stakeholders and Researchers Sammit 2017» (Москва). Presentation: Психометрика в реальном времени
  • 2016
    Международная конференция по новым образовательным технологиям EdCrunch 2016 (Москва). Presentation: Для чего нужна учебная аналитика?
  • 2015
    Higher Education Planning in Asia 2015 (Сингапур). Presentation: Joint international educational programs with European and Asian universities: a case study of ITMO University

Timetable for today

Full timetable

What Do Digital Traces Have to Offer for the Study of Psychological Wellbeing?

The round table on ‘Psychological Wellbeing in the Digital Age’ brought together a range of scholars and one industry professional to talk about how a user’s digital footprint—or ‘digital traces’—can be used to discern a person’s psychological state, predict their behavior, and, potentially, even improve their psychological wellbeing.