ISMC MEPhI held an online discussion on data Analytics in education

On 2nd of July, ISMC MEPhI in partnership with the the North-West CSR Foundation held an online discussion on "data Analytics in education". The event was attended by more than 200 representatives of more than 40 Russian universities and was held in live webinar format.

The discussion was moderated by Dmitry Sanatov, Deputy Director of the North-West CSR Foundation". We talked about how data Analytics affects educational processes, discussed what "educational data engineering" is, learned about the practical application of the digital footprint, and how digital data can be used in the Humanities.

Andrey Komissarov, head of the "data-based development" Department of the University 20.35, made a report "Educational data engineering: innovative approaches in education". Andrey told about the approach of educational data engineering and the directions of its development. Andrey also touched upon the issues of diagnostics, pedagogical design, collecting and analyzing the digital footprint, and building individual trajectories.

Artem Feshchenko, head of the laboratory of computer learning tools of the National Research Tomsk State University, presented the report "Digital footprint of the applicant. The experience of the TSU". Artem told about research in the field of studying the digital footprint of applicants and students and shared TSU's experience in using data analysis and machine learning technologies for searching and recruiting applicants.

Inna Kizhner, senior lecturer at the Department of information technologies in creative and cultural industries of the Siberian Federal University, made a presentation on "Digital data in the Humanities". Inna told about the directions of using digital data in humanitarian knowledge, experience in digital humanitarian research in our country and abroad.

Vasily Kireev, associate Professor of the Institute of Cyber Intelligence Systems of MEPhI, presented the experience of MEPhI in working with data Analytics and announced a new online training program "Practical application of machine learning methods in a data-driven approach".

In conclusion, Dmitry Sanatov summed up the discussion, and the organizers and listeners emphasized the relevance of the chosen topic of the webinar and expressed gratitude to the speakers for interesting reports.