How to Reduce the Digital Divide in School Education

Как сократить цифровое неравенство в школьном образовании

Alexey S. Tishchenko and Galina S. Tokareva
Additional contact information
Alexey S. Tishchenko: Russian Presidential Academy of National Economy and Public Administration
Galina S. Tokareva: Russian Presidential Academy of National Economy and Public Administration

Russian Economic Development, 2022, issue 3, 41-47

Abstract: In order to combat the spread of coronavirus infection, the educational process in schools is periodically carried out remotely using online platforms and electronic educational resources. Despite the set of measures taken, the education system faced significant difficulties in transferring the educational process to a remote mode. To a lesser extent, rural educational organizations turned out to be ready for distance learning; there was regional differentiation in terms of access to broadband Internet, the availability of computers and their use for educational purposes. The issues of organizing online learning, including ensuring equal opportunities in access to digital educational infrastructure, remain relevant. The article was written on the basis of the RANEPA state assignment research programme.

Keywords: school education; distance learning; digital divide (search for similar items in EconPapers)
JEL-codes: I21 I24 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.iep.ru/files/RePEc/gai/recdev/r2228.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gai:recdev:r2228

Access Statistics for this article

Russian Economic Development is currently edited by Alexei Vedev

More articles in Russian Economic Development from Gaidar Institute for Economic Policy Contact information at EDIRC.
Bibliographic data for series maintained by Olga Beloborodova ( this e-mail address is bad, please contact ).