Cargando…
Using the UTAUT model to understand students’ usage of e-learning systems in developing countries
Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122219/ https://www.ncbi.nlm.nih.gov/pubmed/34025204 http://dx.doi.org/10.1007/s10639-021-10573-5 |
_version_ | 1783692542537105408 |
---|---|
author | Abbad, Muneer M. M. |
author_facet | Abbad, Muneer M. M. |
author_sort | Abbad, Muneer M. M. |
collection | PubMed |
description | Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students’ intentions to use and their actual usage of Moodle, an e-learning system at Hashemite University, a public university in Jordan, one of developing countries. Four principal determinants of intention and usage were explored: performance expectancy, effort expectancy, social influence, and facilitating conditions. Data were collected from 370 undergraduate students and analysed using structural equation modelling techniques. The results indicated that performance expectancy and effort expectancy affected behavioural intentions to use Moodle whereas social influence did not. In addition, the results confirmed the direct impact of behavioural intentions and facilitating conditions on students’ use of Moodle. UTAUT thus provides a valuable tool that enables university decision makers, faculty members, and designers to understand the factors driving e-learning system acceptance and thus facilitate the adoption of the system by students. The study will help educational institutions prepare e-learning systems, which is especially important during a state of emergency such as that caused by COVID-19. |
format | Online Article Text |
id | pubmed-8122219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81222192021-05-17 Using the UTAUT model to understand students’ usage of e-learning systems in developing countries Abbad, Muneer M. M. Educ Inf Technol (Dordr) Article Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students’ intentions to use and their actual usage of Moodle, an e-learning system at Hashemite University, a public university in Jordan, one of developing countries. Four principal determinants of intention and usage were explored: performance expectancy, effort expectancy, social influence, and facilitating conditions. Data were collected from 370 undergraduate students and analysed using structural equation modelling techniques. The results indicated that performance expectancy and effort expectancy affected behavioural intentions to use Moodle whereas social influence did not. In addition, the results confirmed the direct impact of behavioural intentions and facilitating conditions on students’ use of Moodle. UTAUT thus provides a valuable tool that enables university decision makers, faculty members, and designers to understand the factors driving e-learning system acceptance and thus facilitate the adoption of the system by students. The study will help educational institutions prepare e-learning systems, which is especially important during a state of emergency such as that caused by COVID-19. Springer US 2021-05-15 2021 /pmc/articles/PMC8122219/ /pubmed/34025204 http://dx.doi.org/10.1007/s10639-021-10573-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 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 Abbad, Muneer M. M. Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title | Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title_full | Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title_fullStr | Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title_full_unstemmed | Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title_short | Using the UTAUT model to understand students’ usage of e-learning systems in developing countries |
title_sort | using the utaut model to understand students’ usage of e-learning systems in developing countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122219/ https://www.ncbi.nlm.nih.gov/pubmed/34025204 http://dx.doi.org/10.1007/s10639-021-10573-5 |
work_keys_str_mv | AT abbadmuneermm usingtheutautmodeltounderstandstudentsusageofelearningsystemsindevelopingcountries |