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Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables

The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-lear...

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Detalles Bibliográficos
Autores principales: Chahal, Jyoti, Rani, Neha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151352/
https://www.ncbi.nlm.nih.gov/pubmed/35668837
http://dx.doi.org/10.1007/s12528-022-09327-0
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author Chahal, Jyoti
Rani, Neha
author_facet Chahal, Jyoti
Rani, Neha
author_sort Chahal, Jyoti
collection PubMed
description The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-learning in higher education depends on students’ adoption of this technology. So, this study aimed to identify the factors influencing the behavioral intentions and actual usage of students in adopting e-learning. Additionally, it also examined the mediation effects among different latent constructs. Based on technology acceptance model (TAM), an explanatory structural model of technology acceptance was tested along with introduction of three external variables. To do this, a quantitative investigation was conducted using an online survey of higher education students in India, obtaining 570 responses. The structural model was examined through the partial least square structural equation modeling. Results obtained make it possible to validate the proposed model as findings explains the 56.2% variance of actual usage. In addition, it shows the direct and indirect effect of all three selected external variables of personal innovativeness, social factors and self-efficacy on the main constructs of TAM. The findings of this study are relevant for the higher education management, administration, e-learning system developers, marketers and researchers for improving the effective usage of e-learning by developing more focused and customized learning solutions.
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spelling pubmed-91513522022-06-02 Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables Chahal, Jyoti Rani, Neha J Comput High Educ Article The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-learning in higher education depends on students’ adoption of this technology. So, this study aimed to identify the factors influencing the behavioral intentions and actual usage of students in adopting e-learning. Additionally, it also examined the mediation effects among different latent constructs. Based on technology acceptance model (TAM), an explanatory structural model of technology acceptance was tested along with introduction of three external variables. To do this, a quantitative investigation was conducted using an online survey of higher education students in India, obtaining 570 responses. The structural model was examined through the partial least square structural equation modeling. Results obtained make it possible to validate the proposed model as findings explains the 56.2% variance of actual usage. In addition, it shows the direct and indirect effect of all three selected external variables of personal innovativeness, social factors and self-efficacy on the main constructs of TAM. The findings of this study are relevant for the higher education management, administration, e-learning system developers, marketers and researchers for improving the effective usage of e-learning by developing more focused and customized learning solutions. Springer US 2022-05-31 2022 /pmc/articles/PMC9151352/ /pubmed/35668837 http://dx.doi.org/10.1007/s12528-022-09327-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 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
Chahal, Jyoti
Rani, Neha
Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title_full Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title_fullStr Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title_full_unstemmed Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title_short Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables
title_sort exploring the acceptance for e-learning among higher education students in india: combining technology acceptance model with external variables
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151352/
https://www.ncbi.nlm.nih.gov/pubmed/35668837
http://dx.doi.org/10.1007/s12528-022-09327-0
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