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SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid

A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jordanian university students’ behavioral intention...

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Detalles Bibliográficos
Autores principales: Elareshi, Mokhtar, Habes, Mohammed, Youssef, Enaam, Salloum, Said A., Alfaisal, Raghad, Ziani, Abdulkarim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010636/
https://www.ncbi.nlm.nih.gov/pubmed/35434400
http://dx.doi.org/10.1016/j.heliyon.2022.e09236
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author Elareshi, Mokhtar
Habes, Mohammed
Youssef, Enaam
Salloum, Said A.
Alfaisal, Raghad
Ziani, Abdulkarim
author_facet Elareshi, Mokhtar
Habes, Mohammed
Youssef, Enaam
Salloum, Said A.
Alfaisal, Raghad
Ziani, Abdulkarim
author_sort Elareshi, Mokhtar
collection PubMed
description A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jordanian university students’ behavioral intention regarding eLearning acceptance, in Jordan. According to the evaluation of both ANN and IPMA, performance expectancy was the most important and, theoretically, several explanations were provided by the suggested model regarding the impact of intention to adopt eLearning from Internet service determinants at a personal level. The findings coincide greatly with prior research indicating that users’ behavioral intention to adopt eLearning is significantly affected by their performance expectancy and effort expectancy. The paper contributed to technology adoption e.g., YouTube in academia, especially in Jordan. Respondents showed a willingness to employ and adopt the new technology in their education. Finally, the findings were presented and discussed through the UTAUT and TAM frameworks.
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spelling pubmed-90106362022-04-16 SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid Elareshi, Mokhtar Habes, Mohammed Youssef, Enaam Salloum, Said A. Alfaisal, Raghad Ziani, Abdulkarim Heliyon Research Article A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jordanian university students’ behavioral intention regarding eLearning acceptance, in Jordan. According to the evaluation of both ANN and IPMA, performance expectancy was the most important and, theoretically, several explanations were provided by the suggested model regarding the impact of intention to adopt eLearning from Internet service determinants at a personal level. The findings coincide greatly with prior research indicating that users’ behavioral intention to adopt eLearning is significantly affected by their performance expectancy and effort expectancy. The paper contributed to technology adoption e.g., YouTube in academia, especially in Jordan. Respondents showed a willingness to employ and adopt the new technology in their education. Finally, the findings were presented and discussed through the UTAUT and TAM frameworks. Elsevier 2022-04-04 /pmc/articles/PMC9010636/ /pubmed/35434400 http://dx.doi.org/10.1016/j.heliyon.2022.e09236 Text en © 2022 Published by Elsevier Ltd. 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
Elareshi, Mokhtar
Habes, Mohammed
Youssef, Enaam
Salloum, Said A.
Alfaisal, Raghad
Ziani, Abdulkarim
SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title_full SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title_fullStr SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title_full_unstemmed SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title_short SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid
title_sort sem-ann-based approach to understanding students’ academic-performance adoption of youtube for learning during covid
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010636/
https://www.ncbi.nlm.nih.gov/pubmed/35434400
http://dx.doi.org/10.1016/j.heliyon.2022.e09236
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