A Conceptual Framework for Integrating TPB With Context-Relevant Variables to Predict e-Learning Success During the Covid -19 Pandemic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63552178" target="_blank" >RIV/70883521:28140/22:63552178 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/70883521:28120/22:63552178
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Conceptual Framework for Integrating TPB With Context-Relevant Variables to Predict e-Learning Success During the Covid -19 Pandemic
Popis výsledku v původním jazyce
The COVID-19 pandemic has necessitated the digitalization of some aspects of our lives including education. However, as we witness a phenomenal rise in the demand for online learning, the decision to migrate to online learning platforms is dependent on the learner’s preparedness to embrace it. The objective of this study is to conceptualize a framework that measures the tendency of learners to adopt online learning in an era characterised by so many disruptions. To do this, we adopt document analysis on databases such as SCOPUS, Web of Science, EBSCO and Google Scholar using Boolean search engines; AND, OR, NOT, *, (), ‘’’’, +, -, <,>. mainly on current scientific manuscripts through the use of the keywords “e-learning”, “theory of planned behaviour”, “Covid 19”, “distance learning”, “environmental factors” and “academic technology adoption”. Subsequently, we integrate the theory of planned behaviour with other context-relevant variables as the bases of the study and conceptualise a framework to predict e-learning success in the covid-19 era. This study contributes to the scientific body of knowledge on e-learning, particularly from the perspective of a forced mass adoption of e-learning occasioned by a global pandemic.
Název v anglickém jazyce
A Conceptual Framework for Integrating TPB With Context-Relevant Variables to Predict e-Learning Success During the Covid -19 Pandemic
Popis výsledku anglicky
The COVID-19 pandemic has necessitated the digitalization of some aspects of our lives including education. However, as we witness a phenomenal rise in the demand for online learning, the decision to migrate to online learning platforms is dependent on the learner’s preparedness to embrace it. The objective of this study is to conceptualize a framework that measures the tendency of learners to adopt online learning in an era characterised by so many disruptions. To do this, we adopt document analysis on databases such as SCOPUS, Web of Science, EBSCO and Google Scholar using Boolean search engines; AND, OR, NOT, *, (), ‘’’’, +, -, <,>. mainly on current scientific manuscripts through the use of the keywords “e-learning”, “theory of planned behaviour”, “Covid 19”, “distance learning”, “environmental factors” and “academic technology adoption”. Subsequently, we integrate the theory of planned behaviour with other context-relevant variables as the bases of the study and conceptualise a framework to predict e-learning success in the covid-19 era. This study contributes to the scientific body of knowledge on e-learning, particularly from the perspective of a forced mass adoption of e-learning occasioned by a global pandemic.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 21st European Conference on e-Learning
ISBN
978-1-914587-56-6
ISSN
2048-8637
e-ISSN
2048-8645
Počet stran výsledku
8
Strana od-do
365-372
Název nakladatele
Academic Conferences and Publishing International Limited
Místo vydání
Reading
Místo konání akce
Brighton
Datum konání akce
27. 10. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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