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The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?

As the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile socia...

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Autores principales: Loh, Xiu-Kin, Lee, Voon-Hsien, Loh, Xiu-Ming, Tan, Garry Wei-Han, Ooi, Keng-Boon, Dwivedi, Yogesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501931/
https://www.ncbi.nlm.nih.gov/pubmed/34658660
http://dx.doi.org/10.1007/s10796-021-10202-z
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author Loh, Xiu-Kin
Lee, Voon-Hsien
Loh, Xiu-Ming
Tan, Garry Wei-Han
Ooi, Keng-Boon
Dwivedi, Yogesh K.
author_facet Loh, Xiu-Kin
Lee, Voon-Hsien
Loh, Xiu-Ming
Tan, Garry Wei-Han
Ooi, Keng-Boon
Dwivedi, Yogesh K.
author_sort Loh, Xiu-Kin
collection PubMed
description As the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile social media. Due to the novelty of this situation, there are many unknowns particularly with the negative influences of mobile learning via social media on university students. Thus, this study looks to examine this subject matter from the perspective of the stimulus–organism–response theory. The uniquely developed research model included four stimuli (i.e., social overload, information overload, life invasion, and privacy invasion), two organisms (i.e., technostress and exhaustion) as well as a response in terms of reduced intention to use mobile learning via social media. The responses were collected from 384 university students via an online survey and analyzed with the Partial-Least-Square-Structural-Equation-Modelling. It was found that the antecedents for both technostress and exhaustion were able to account for more than half of their respective variances. Furthermore, technostress and exhaustion were significant facilitators of the students’ reduced intention to use mobile learning via social media. In addition to the practical insights for stakeholders in the education industry, this study also posited several theoretical implications for researchers.
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spelling pubmed-85019312021-10-12 The Dark Side of Mobile Learning via Social Media: How Bad Can It Get? Loh, Xiu-Kin Lee, Voon-Hsien Loh, Xiu-Ming Tan, Garry Wei-Han Ooi, Keng-Boon Dwivedi, Yogesh K. Inf Syst Front Article As the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile social media. Due to the novelty of this situation, there are many unknowns particularly with the negative influences of mobile learning via social media on university students. Thus, this study looks to examine this subject matter from the perspective of the stimulus–organism–response theory. The uniquely developed research model included four stimuli (i.e., social overload, information overload, life invasion, and privacy invasion), two organisms (i.e., technostress and exhaustion) as well as a response in terms of reduced intention to use mobile learning via social media. The responses were collected from 384 university students via an online survey and analyzed with the Partial-Least-Square-Structural-Equation-Modelling. It was found that the antecedents for both technostress and exhaustion were able to account for more than half of their respective variances. Furthermore, technostress and exhaustion were significant facilitators of the students’ reduced intention to use mobile learning via social media. In addition to the practical insights for stakeholders in the education industry, this study also posited several theoretical implications for researchers. Springer US 2021-10-09 2022 /pmc/articles/PMC8501931/ /pubmed/34658660 http://dx.doi.org/10.1007/s10796-021-10202-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Loh, Xiu-Kin
Lee, Voon-Hsien
Loh, Xiu-Ming
Tan, Garry Wei-Han
Ooi, Keng-Boon
Dwivedi, Yogesh K.
The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title_full The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title_fullStr The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title_full_unstemmed The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title_short The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?
title_sort dark side of mobile learning via social media: how bad can it get?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501931/
https://www.ncbi.nlm.nih.gov/pubmed/34658660
http://dx.doi.org/10.1007/s10796-021-10202-z
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