Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Comparative analysis of students’ views of online learning in the first and second Covid-19 semesters: Examples from Türkiye, Poland, Republic of North Macedonia, and Bosnia and Herzegovina
Date
2022-12-11
Author
Hatipoğlu, Çiler
Gajek, Elbieta
Delibegović Džanić, Nihada
Milosevska, Lina
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
96
views
0
downloads
Cite This
URI
https://doi.org/10.14705/rpnet.2022.61.9782383720157
https://hdl.handle.net/11511/107058
DOI
https://doi.org/10.14705/rpnet.2022.61.1451
Conference Name
Intelligent CALL, granular systems and learner data: Short papers from EUROCALL 2022
Collections
Department of Foreign Language Education, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ç. Hatipoğlu, E. Gajek, N. Delibegović Džanić, and L. Milosevska, “Comparative analysis of students’ views of online learning in the first and second Covid-19 semesters: Examples from Türkiye, Poland, Republic of North Macedonia, and Bosnia and Herzegovina,” presented at the Intelligent CALL, granular systems and learner data: Short papers from EUROCALL 2022, Reykjavik, İzlanda, 2022, Accessed: 00, 2023. [Online]. Available: https://doi.org/10.14705/rpnet.2022.61.9782383720157.
