Repository logo
  • English
  • Yкраї́нська
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Персональні колекції співробітників та підрозділів
  3. Навчально-науковий інститут державного управління
  4. Cloud technologies for training university students of socio-humanitarian specialties and public administration
 
  • Details

Cloud technologies for training university students of socio-humanitarian specialties and public administration

Date Issued
2020
Author(s)
Shelomovska, Oksana 
Sorokina, Lіudmyla 
Romaniukha, Maryna 
Sorokina, Natalya 
Machulina, Iryna 
Abstract
The article discusses the current state of cloud technologies and examines their in training students on socio-humanitarian and public administration courses. The research deals with the essence, features and functions of «cloud», «cloud computing» and «cloud technologies». It outlines the structure of university cloud-oriented educational environment by defining its components, subjects and objects of architecture. Discussed are the specificity and ways in which to employ cloud tech-
nologies to improve the efficiency of training students on socio-humanitarian specialties and public administration. Relying on the analysis of their sociological research and secondary data, the present authors outline the most popular cloud services used in times of forced transition to distance learning mode. The article analyses the existing software products based on the cloud computing system, as well as the advantages and affordances of each of them when applied in the training of students
of socio-humanitarian specialties and public administration at universities. The research pinpoints the challenges in university functioning which can be quickly overcome by virtue of cloud technologies.
Subjects

cloud technologies

online services

teaching

distance learning

university

sociology

public administration...

File(s)
Loading...
Thumbnail Image
Name

Сорокіна 10.pdf

Size

253.24 KB

Format

Adobe PDF

Checksum

(MD5):d0577ba5e0e6c96774c5943bf11e355c

.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • End User Agreement
  • Send Feedback
Repository logo COAR Notify