International Conference «Big Data in Education»

Second International Conference
«Big Data in Education»

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August 28-31, 2021

Moscow, VDNH

About

Dear Colleagues!

It is a great honor to invite you to attend the second international conference «Big data in education», which will be held on 28-31 August, 2021 at pavilion 75, Joint Stock Company The Exhibition of Achievements of National Economy (VDNH).

Today, the priority task that is able to provide a competitive advantage for organization, city and country, is the ability of analyzing a great flow of information that have been stored (and keep on storing) in databases of different organizations.

Big data analysis allows to find out new, non-trivial knowledge as a result of information research of one or several databases. Finally, the results of this research allow to take a fresh look at the existing problems and propose a solution for the challenge that directly affects the work of organization and social life in a particular city or country.

Holding the international conference “Big data in education” devoted to the discussion of big data and the following development of an information system that can provide the results of their analysis in real time, will help us to change our view on education in city space.

The priority focus of the Conference is on:

  1. Recommendation systems and Personalized Learning
  2. Data driven pedagogy
  3. Learner Cognitive and Behavior Modelling
  4. Perfomance assessment and predictive analytics
  5. Ethical, Legal and Social policies of Big data and AI

A collection of papers will be published after the Conference.

Please use bigdata@mgpu.ru for submissions and any other questions or concerns.

The current information can be found on the conference website https://bigdataconf.mgpu.ru/.

We hope to welcome you at the Conference.

Sincerely yours,

Organizing Committee

Recommendation systems and Personalized Learning

Data driven pedagogy

Learner Cognitive and Behavior Modelling

Perfomance assessment and predictive analytics

Ethical, Legal and Social policies of Big data and AI