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Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model
With the impact of COVID-19, many university students may not be able to learn English in the physical classroom in a traditional way. Students' English learning effectiveness and outcome were threatened when English learning was forced to turn online. Thus, a variety of technological media and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900360/ https://www.ncbi.nlm.nih.gov/pubmed/36755609 http://dx.doi.org/10.1016/j.heliyon.2023.e13302 |
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author | Yao-Ping Peng, Michael Xu, Yunying Xu, Cheng |
author_facet | Yao-Ping Peng, Michael Xu, Yunying Xu, Cheng |
author_sort | Yao-Ping Peng, Michael |
collection | PubMed |
description | With the impact of COVID-19, many university students may not be able to learn English in the physical classroom in a traditional way. Students' English learning effectiveness and outcome were threatened when English learning was forced to turn online. Thus, a variety of technological media and platforms to improve their learning outcomes are in need. Mobile learning (M-learning) that involves interacting with other devices through mobile devices and wireless networks can also be a solution to improve students' online English learning effectiveness. In order to explore the learning behaviors and attitudes of university students when learning English with M-learning, this study integrated technology acceptance model and Stimulus Organism Response model including the concepts of perceived convenience, curiosity and self-efficacy in addition to the original technology acceptance model to verify university students’ usage cognition and attitude toward English M-learning. This study disseminated surveys to 10 targeted universities/colleges and collected 1432 valid surveys. This study implemented Smart-PLS 4.0 to examine structural model and verify the hypotheses. Results indicated that perceived convenience have positive impact on perceived ease of use, perceived usefulness and attitude toward using; there is a significant and positive relationship among perceived ease of use, perceived usefulness, attitude toward using and intention to using; curiosity and self-efficacy have positive impact on intention to using. Based on the findings, this study further provides abundant theoretical insights and practical significance on language learning. |
format | Online Article Text |
id | pubmed-9900360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99003602023-02-07 Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model Yao-Ping Peng, Michael Xu, Yunying Xu, Cheng Heliyon Research Article With the impact of COVID-19, many university students may not be able to learn English in the physical classroom in a traditional way. Students' English learning effectiveness and outcome were threatened when English learning was forced to turn online. Thus, a variety of technological media and platforms to improve their learning outcomes are in need. Mobile learning (M-learning) that involves interacting with other devices through mobile devices and wireless networks can also be a solution to improve students' online English learning effectiveness. In order to explore the learning behaviors and attitudes of university students when learning English with M-learning, this study integrated technology acceptance model and Stimulus Organism Response model including the concepts of perceived convenience, curiosity and self-efficacy in addition to the original technology acceptance model to verify university students’ usage cognition and attitude toward English M-learning. This study disseminated surveys to 10 targeted universities/colleges and collected 1432 valid surveys. This study implemented Smart-PLS 4.0 to examine structural model and verify the hypotheses. Results indicated that perceived convenience have positive impact on perceived ease of use, perceived usefulness and attitude toward using; there is a significant and positive relationship among perceived ease of use, perceived usefulness, attitude toward using and intention to using; curiosity and self-efficacy have positive impact on intention to using. Based on the findings, this study further provides abundant theoretical insights and practical significance on language learning. Elsevier 2023-01-31 /pmc/articles/PMC9900360/ /pubmed/36755609 http://dx.doi.org/10.1016/j.heliyon.2023.e13302 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Yao-Ping Peng, Michael Xu, Yunying Xu, Cheng Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title | Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title_full | Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title_fullStr | Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title_full_unstemmed | Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title_short | Enhancing students’ English language learning via M-learning: Integrating technology acceptance model and S-O-R model |
title_sort | enhancing students’ english language learning via m-learning: integrating technology acceptance model and s-o-r model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900360/ https://www.ncbi.nlm.nih.gov/pubmed/36755609 http://dx.doi.org/10.1016/j.heliyon.2023.e13302 |
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