Cargando…

An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China

The present study examined the relationship among behavioural intention (BI) to adopt online learning, perceived usefulness (PU), perceived ease of use (PEU), self-regulated online learning (SR) and online learning self-efficacy (SE). A total of 900 university students with online learning experienc...

Descripción completa

Detalles Bibliográficos
Autores principales: Hai, Lu, Sang, Guoyuan, Wang, Hui, Li, Wenyu, Bao, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598585/
https://www.ncbi.nlm.nih.gov/pubmed/36285972
http://dx.doi.org/10.3390/bs12100403
_version_ 1784816370248056832
author Hai, Lu
Sang, Guoyuan
Wang, Hui
Li, Wenyu
Bao, Xiaohong
author_facet Hai, Lu
Sang, Guoyuan
Wang, Hui
Li, Wenyu
Bao, Xiaohong
author_sort Hai, Lu
collection PubMed
description The present study examined the relationship among behavioural intention (BI) to adopt online learning, perceived usefulness (PU), perceived ease of use (PEU), self-regulated online learning (SR) and online learning self-efficacy (SE). A total of 900 university students with online learning experience from many provinces of China took part in the study. Structural equation modelling (SEM) was used to analyse the data accepted. The results indicate that PU has a significant positive effect on BI; SR has a significant positive effect on PEU, PU and BI. SE has a significant positive effect on PEU, PU and BI. In addition, SE and SR have significant indirect effects on BI through the mediation of PU. The outcomes have tangible theoretical and practical implications. They not only replicates previous research and provides possible space for further expansion of TAM, but also provide us with an opportunity to reflect on and actively take practical measures to improve BI. These efforts include teachers, parents and other educators trying to promote students’ academic achievements, self-efficacy and self-regulation in the process of online learning. The former is the most concerning issue, while the latter two are the source of students’ motivation. Furthermore, educators should make appropriate use of the role of digital technology in online learning and be careful not to exaggerate the value of digital technology, let alone equate it with online learning.
format Online
Article
Text
id pubmed-9598585
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95985852022-10-27 An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China Hai, Lu Sang, Guoyuan Wang, Hui Li, Wenyu Bao, Xiaohong Behav Sci (Basel) Article The present study examined the relationship among behavioural intention (BI) to adopt online learning, perceived usefulness (PU), perceived ease of use (PEU), self-regulated online learning (SR) and online learning self-efficacy (SE). A total of 900 university students with online learning experience from many provinces of China took part in the study. Structural equation modelling (SEM) was used to analyse the data accepted. The results indicate that PU has a significant positive effect on BI; SR has a significant positive effect on PEU, PU and BI. SE has a significant positive effect on PEU, PU and BI. In addition, SE and SR have significant indirect effects on BI through the mediation of PU. The outcomes have tangible theoretical and practical implications. They not only replicates previous research and provides possible space for further expansion of TAM, but also provide us with an opportunity to reflect on and actively take practical measures to improve BI. These efforts include teachers, parents and other educators trying to promote students’ academic achievements, self-efficacy and self-regulation in the process of online learning. The former is the most concerning issue, while the latter two are the source of students’ motivation. Furthermore, educators should make appropriate use of the role of digital technology in online learning and be careful not to exaggerate the value of digital technology, let alone equate it with online learning. MDPI 2022-10-20 /pmc/articles/PMC9598585/ /pubmed/36285972 http://dx.doi.org/10.3390/bs12100403 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hai, Lu
Sang, Guoyuan
Wang, Hui
Li, Wenyu
Bao, Xiaohong
An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title_full An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title_fullStr An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title_full_unstemmed An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title_short An Empirical Investigation of University Students’ Behavioural Intention to Adopt Online Learning: Evidence from China
title_sort empirical investigation of university students’ behavioural intention to adopt online learning: evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598585/
https://www.ncbi.nlm.nih.gov/pubmed/36285972
http://dx.doi.org/10.3390/bs12100403
work_keys_str_mv AT hailu anempiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT sangguoyuan anempiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT wanghui anempiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT liwenyu anempiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT baoxiaohong anempiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT hailu empiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT sangguoyuan empiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT wanghui empiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT liwenyu empiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina
AT baoxiaohong empiricalinvestigationofuniversitystudentsbehaviouralintentiontoadoptonlinelearningevidencefromchina