Open AccessTransformation of education through Big Data: digital twins case study
Author(s) -
Anastasia Andreasyan,
A. A. Balyakin
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2210/1/012003
Subject(s) - big data , digital transformation , data science , transformation (genetics) , computer science , knowledge management , engineering ethics , engineering , world wide web , data mining , biochemistry , chemistry , gene
Being one of the most decisive social phenomena, education is forced to be transformed by digitalization. As information society emerges, new challenges arise in implementing such technologies as Big Data and Artificial Intelligence. The authors have reviewed the existing practice of introducing new technologies in education. Identifying possible ways to effectively integrate Big Data into education is the aim of authors’ research. The paper investigates the issues of introducing new academic disciplines and technologies, as well as the results of overall education system transformation on the case study of Digital Twins technology as integral part of Big Data technology implementation in Big Science.