COVID-19 Pandemic and University Students’ Use and Acceptance of Online Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18440%2F22%3A50019265" target="_blank" >RIV/62690094:18440/22:50019265 - isvavai.cz</a>
Alternative codes found
RIV/62690094:18450/22:50019265
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-08939-8_22" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-08939-8_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-08939-8_22" target="_blank" >10.1007/978-3-031-08939-8_22</a>
Alternative languages
Result language
angličtina
Original language name
COVID-19 Pandemic and University Students’ Use and Acceptance of Online Learning
Original language description
In the first half of 2020, due to the COVID-19 pandemic, universities were forced to move to emergency online learning. Unfortunately, the limitations of F2F teaching lasted not only for the rest of the academic year 2019/20 but also for almost the entire following academic year 2020/21. This study explores university students’ perceptions of their adoption, use, and acceptance of emergency online learning. Quantitative data were collected from 301 students at the University of Hradec Kralove at the end of the academic year 2020/21. The findings show how attitude, motivation, and use of technology play a significant role in the performance of students. Furthermore, this study presents suggestions on how to improve the acceptance of emergency online learning. © 2022, Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-08938-1
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
254-264
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Berlín
Event location
HONG KONG
Event date
Jun 19, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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