International Conference «Big Data in Education»

International Conference
«Big Data in Education»

Register

August 29-31, 2019

Moscow, VDNH

About

Dear Colleagues!

It is a great honor to invite you to attend the international conference «Big data in education», which will be held on 29-30 August, 2019 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. Legal and social policy in the analysis of big data in education.
  2. General framework, approaches and research methods for the analysis of big data in education.
  3. Developing new methods of database mining in education.
  4. Modelling the students’ interaction and involvement on the base of methods of machine learning and database mining.
  5. Applying social network analyses for supporting students’ interaction.
  6. Automatic assessment and forecasting of students’ education results.
  7. Applying of methods of machine learning and database mining for developing non-regulatory systems in education.
  8. Assessment of curriculum and education process effectiveness on the base of method of big data analysis.
  9. Applying methods of database mining to understand how students interact with new educational environment including educational games, Massive open online courses, bots and LMS.
  10. Applying methods of database mining to teachers, parents and management staff of educational organizations.

 

A collection of papers will be published after the Conference.

Kindly submit your proposals (an abstract of no more than 250 words) by August 10, 2019 and complete the application form. Proposals for panel discussions are encouraged as well. All submissions will be peer-reviewed by the Organizing Committee and acceptance letters will be sent timely.

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/.

The venue on 30-31 August: pavilion 75, Joint Stock Company The Exhibition of Achievements of National Economy (VDNH), Moscow, Russia.

We hope to welcome you at the Conference.

Sincerely yours,

Organizing Committee

August, 30

11:00-12:00

Panel discussion 1.
“Big Data in education: myth vs reality”

Repository of digital educational objects are one of the key factors of national and regional education systems development. The effective usage of the organization educational environment and the students’ personal learning space depends on hiw efficiently the user support system and how the work with the data generated by the information system will be organized. Within the session the experience of repository of digital educational objects analytics will be examined, in particular, the largest repository in Europe – the MES (Moscow Electronic School) library.

Key topics:

  • How does the data mining influence the educational content and the practice of its institualization
  • Learning analytics in repositories of educational objects
  • Development of data-driven pedagogy in Russia

August, 30

12:00-13:00

Panel discussion 2.
“Little master of Big Data”

Humpty Dumpty: “When I use a word it means just what I choose it to mean—neither more nor less.”
Alice: “The question is whether you can make words mean so many different things.”
Humpty Dumpty: “The question is, which is to be master—that’s all.”

Researcher and administrators are interested in data generated during their learning and extra curriculum activities. Moreover, their interest is often connected with control and management decision making. Within the panel discussion “Little Master of big data” the data is considered as one of the tools to help students understand the reality and shape their own course of action more effectively.

Key topics:

  • How can educators and students use Big Data?
  • How does education use and can use Big Data generated by the City?
  • What do Moscow School, anthill and football field have in common?

August, 29

12:00-13:00

Panel discussion 3.
"Data mining as the basis of effective management"

The key factor in education system management is the analysis of the participant’ digital mark. The difficulty of this problem solution is explained by the various readiness level of the education systems to present for analysis the necessary data and the ability of people who make the decisions on development of such systems for the data usage. During the section the best practices of identifying, analyzing and using data for effective management decision making will be examined.

Key topics:

  • Data mining and adolescent group atmosphere
  • Adaptive learning systems on the basis of the MES (Moscow Electronic School) data
  • Forecasting and monitoring the dynamics of educational results of University students

August, 30

16:00-17:00

Panel discussion 4.
Video and image analysis using machine learning technologies

The discussion will be interesting for everyone who never took part in such projects and will show some practical cases for colleagues working in this field.

Key topics:

  • general methods and practices of video and image analysis
  • emotion analysis with the use of cognitive services
  • analysis of the students’ involvement into the educational process

August, 30-31

Hackathon EDMHack

Moscow City University invites school and university teams to take part in the Hackathon devoted to analysis of educational and social data. Hackathon will be held from 30 August till 31 August within the international forum “City for education”. Hackathon is a unique chance for teams, independent programmers and designers to work out their projects with the leading experts in data analytics in education field.

Speakers

Igor M. Remorenko

Russia, Moscow
Rector, MCU

Karlos Delgado Kloos

Spain, Madrid
Professor, University Carlos III in Madrid

Marianna V. Lebedeva

Russia, Moscow
Director, “TemoCenter”

Svetlana N. Vachkova

Russia, Moscow
Director of the Institute of System Projects, MCU

Mart Laanpere

Estonia, Tallinn
Senior researcher at the Centre for Educational Technology, Tallinn University

Evgeniy D. Patarakin

Russia, Moscow
Leading researcher at the Institute of System Projects, MCU

Roman B. Kupriyanov

Russia, Moscow
Deputy head of the Department of Information Technology, MCU

Polina Nikulina

Visual Analytics Specialist
The University of Sydney

Ruslan S. Sulejmanov

Russia, Moscow
Head of the Department of Information Technology, MCU

Ekaterina V. Lavrenova

Russia, Moscow
Director of the Institute of Digital Education, MCU

Vladimir I. Solovyov

Russia, Moscow
Head of the department of Data Analysis, Decision Making and Financial Technologies, Financial University

Vasily V. Shevtsov

Russia Moscow
Head of Information Technology Support, RUDN University

Maksim A. Skryabin

Russia, Moscow
Leading analyst, HSE

Boris S. Berenfeld

Founder and president of the International Laboratory for Innovative Educational Technologies

Tatiana V. Krupa

Russia, Moscow
Co-founder and president of “GlobalLab”

Boris B. Yarmahov

Russia, Moscow
Specialist of the University Centre for Digital Technologies, MCU

Tatiana G. Anokhina

Russia, Moscow
Director general, Kribrum

Suhas Parandekar

Senior Economist, World Bank Group

Artem V. Ermolaev

Co-founder and Head of “Smart cities”,
Professor of practice, HSE,
Moscow, Russia

Aleksey L. Semenov

Academician of RAE and RAS,
Director of the Institute of Educational Informatics Federal Research Center “Informatics and Management”, RAS
Moscow, Russia

Vasily V. Burov

Co-founder of “Information culture”
Moscow, Russia

Mikhail A. Rudkovsky

Sberbank
Moscow, Russia

Dinar Kh. Garipov

Education Solutions Expert, Microsoft
Moscow, Russia