Open Access«BIG DATA» IN EDUCATION: INTERNATIONAL AND RUSSIAN EXPERIENCE
Author(s) -
В В Гриншкун,
O.Yu. Zaslavskaya
Publication year - 2020
Publication title -
habaršy. fizika-matematika seriâsy
Language(s) - English
Resource type - Journals
ISSN - 1728-7901
DOI - 10.51889/2020-3.1728-7901.29
Subject(s) - structuring , big data , lifelong learning , process (computing) , qualitative property , computer science , data collection , data science , knowledge management , mathematics education , pedagogy , political science , psychology , sociology , social science , machine learning , law , operating system
Big data analysis and their free circulation can serve as a basis for qualitative changes, the formation of a new modern and dynamically developing education system. The article analyzes data on the educational process, which will make it possible to better assess teachers and, if necessary, make changes to the content of their training. As data for the analysis, information about the traits of the student's character, his success in learning, and previous work experience are used. One of the significant points in terms of collecting and structuring big data in Russian education is the creation and implementation of the Moscow Electronic School project. Big data collection and analysis technologies open up great prospects for creating new positive learning experiences and highly effective expansion of lifelong learning competencies.