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How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)

The ongoing pandemic has transformed communication modes globally. Especially in the case of higher education, where countermeasures against coronavirus disease 2019 (COVID-19) have affected students’ learning experience. This study emphasized the case of business simulation games, where critical fa...

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Detalles Bibliográficos
Autores principales: Huang, Hai, Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965651/
https://www.ncbi.nlm.nih.gov/pubmed/35369249
http://dx.doi.org/10.3389/fpsyg.2022.835328
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author Huang, Hai
Wang, Yong
author_facet Huang, Hai
Wang, Yong
author_sort Huang, Hai
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description The ongoing pandemic has transformed communication modes globally. Especially in the case of higher education, where countermeasures against coronavirus disease 2019 (COVID-19) have affected students’ learning experience. This study emphasized the case of business simulation games, where critical factors were underlined to define learners’ intention to use an online learning environment through the lens of task technology fit (TTF) as a theoretical stance. This study considered the statistical analysis of 523 students who attended the business simulation module online at the tertiary level of education. Findings conclude that flow experience is the most critical factor to define learners’ perceived TTF in the case of an online learning experience. However, the learners’ self-efficacy is significant enough to map learners’ intentions to use an online environment for learning. The study discussed several theoretical and practical implications for learners’ educators and policymakers.
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spelling pubmed-89656512022-03-31 How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework) Huang, Hai Wang, Yong Front Psychol Psychology The ongoing pandemic has transformed communication modes globally. Especially in the case of higher education, where countermeasures against coronavirus disease 2019 (COVID-19) have affected students’ learning experience. This study emphasized the case of business simulation games, where critical factors were underlined to define learners’ intention to use an online learning environment through the lens of task technology fit (TTF) as a theoretical stance. This study considered the statistical analysis of 523 students who attended the business simulation module online at the tertiary level of education. Findings conclude that flow experience is the most critical factor to define learners’ perceived TTF in the case of an online learning experience. However, the learners’ self-efficacy is significant enough to map learners’ intentions to use an online environment for learning. The study discussed several theoretical and practical implications for learners’ educators and policymakers. Frontiers Media S.A. 2022-03-15 /pmc/articles/PMC8965651/ /pubmed/35369249 http://dx.doi.org/10.3389/fpsyg.2022.835328 Text en Copyright © 2022 Huang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Huang, Hai
Wang, Yong
How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title_full How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title_fullStr How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title_full_unstemmed How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title_short How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework)
title_sort how flow experience and self-efficacy define students’ online learning intentions: view from task technology fit (framework)
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965651/
https://www.ncbi.nlm.nih.gov/pubmed/35369249
http://dx.doi.org/10.3389/fpsyg.2022.835328
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