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The impact of smartphone use on learning effectiveness: A case study of primary school students
This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. Following the derivation of four hypotheses from the literature, descriptive analysis, t testing, one-way analysis of variance (ANOVA), Pearson correlation analysis, and one-way...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651103/ https://www.ncbi.nlm.nih.gov/pubmed/36406784 http://dx.doi.org/10.1007/s10639-022-11430-9 |
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author | Wang, Jen Chun Hsieh, Chia-Yen Kung, Shih-Hao |
author_facet | Wang, Jen Chun Hsieh, Chia-Yen Kung, Shih-Hao |
author_sort | Wang, Jen Chun |
collection | PubMed |
description | This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. Following the derivation of four hypotheses from the literature, descriptive analysis, t testing, one-way analysis of variance (ANOVA), Pearson correlation analysis, and one-way multivariate ANOVA (MANOVA) were performed to characterize the relationship between smartphone behavior and academic performance with regard to learning effectiveness. All coefficients were positive and significant, supporting all four hypotheses. We also used structural equation modeling (SEM) to determine whether smartphone behavior is a mediator of academic performance. The MANOVA results revealed that the students in the high smartphone use group academically outperformed those in the low smartphone use group. The results indicate that smartphone use constitutes a potential inequality in learning opportunities among elementary school students. Finally, in a discussion of whether smartphone behavior is a mediator of academic performance, it is proved that smartphone behavior is the mediating variable impacting academic performance. Fewer smartphone access opportunities may adversely affect learning effectiveness and academic performance. Elementary school teachers must be aware of this issue, especially during the ongoing COVID-19 pandemic. The findings serve as a reference for policymakers and educators on how smartphone use in learning activities affects academic performance. |
format | Online Article Text |
id | pubmed-9651103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96511032022-11-14 The impact of smartphone use on learning effectiveness: A case study of primary school students Wang, Jen Chun Hsieh, Chia-Yen Kung, Shih-Hao Educ Inf Technol (Dordr) Article This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. Following the derivation of four hypotheses from the literature, descriptive analysis, t testing, one-way analysis of variance (ANOVA), Pearson correlation analysis, and one-way multivariate ANOVA (MANOVA) were performed to characterize the relationship between smartphone behavior and academic performance with regard to learning effectiveness. All coefficients were positive and significant, supporting all four hypotheses. We also used structural equation modeling (SEM) to determine whether smartphone behavior is a mediator of academic performance. The MANOVA results revealed that the students in the high smartphone use group academically outperformed those in the low smartphone use group. The results indicate that smartphone use constitutes a potential inequality in learning opportunities among elementary school students. Finally, in a discussion of whether smartphone behavior is a mediator of academic performance, it is proved that smartphone behavior is the mediating variable impacting academic performance. Fewer smartphone access opportunities may adversely affect learning effectiveness and academic performance. Elementary school teachers must be aware of this issue, especially during the ongoing COVID-19 pandemic. The findings serve as a reference for policymakers and educators on how smartphone use in learning activities affects academic performance. Springer US 2022-11-11 2023 /pmc/articles/PMC9651103/ /pubmed/36406784 http://dx.doi.org/10.1007/s10639-022-11430-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Wang, Jen Chun Hsieh, Chia-Yen Kung, Shih-Hao The impact of smartphone use on learning effectiveness: A case study of primary school students |
title | The impact of smartphone use on learning effectiveness: A case study of primary school students |
title_full | The impact of smartphone use on learning effectiveness: A case study of primary school students |
title_fullStr | The impact of smartphone use on learning effectiveness: A case study of primary school students |
title_full_unstemmed | The impact of smartphone use on learning effectiveness: A case study of primary school students |
title_short | The impact of smartphone use on learning effectiveness: A case study of primary school students |
title_sort | impact of smartphone use on learning effectiveness: a case study of primary school students |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651103/ https://www.ncbi.nlm.nih.gov/pubmed/36406784 http://dx.doi.org/10.1007/s10639-022-11430-9 |
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