Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model
The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension...
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Athabasca University Press
2018
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oai:doaj.org-article:684a410582244a959531bc1cbe6b702e2021-12-02T18:03:00ZEvaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model10.19173/irrodl.v19i1.28861492-3831https://doaj.org/article/684a410582244a959531bc1cbe6b702e2018-02-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2886https://doaj.org/toc/1492-3831The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension of Technology Acceptance Model (TAM), in which the core TAM constructs – perceived usefulness, perceived ease of use, attitude – and internet self-efficacy were included as the explanatory factors of video usage. As regards the determinants of learning satisfaction, beside the core TAM constructs, the role of learning performance, learner-learner interaction, and learner-teacher interaction was examined. Data were collected from 89 students using a questionnaire, on which the partial least-squares structural equation modelling approach was used to evaluate the research model. The results confirmed that perceived usefulness, attitude, and internet self-efficacy had a direct effect on the video usage. Learning satisfaction was directly influenced by learner-learner interaction, perceived ease of use, and learning performance. Furthermore, the results indicated that video usage had a significant effect both on learning performance and on learning satisfaction. The findings show that the extended TAM model can be applied for predicting the university students' video technology usage and their learning satisfaction regarding the usage. Judit T NagyAthabasca University Pressarticlevideo usagelearning satisfactionlearning performancetechnology acceptance modelSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 19, Iss 1 (2018) |
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video usage learning satisfaction learning performance technology acceptance model Special aspects of education LC8-6691 |
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video usage learning satisfaction learning performance technology acceptance model Special aspects of education LC8-6691 Judit T Nagy Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
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The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension of Technology Acceptance Model (TAM), in which the core TAM constructs – perceived usefulness, perceived ease of use, attitude – and internet self-efficacy were included as the explanatory factors of video usage. As regards the determinants of learning satisfaction, beside the core TAM constructs, the role of learning performance, learner-learner interaction, and learner-teacher interaction was examined. Data were collected from 89 students using a questionnaire, on which the partial least-squares structural equation modelling approach was used to evaluate the research model. The results confirmed that perceived usefulness, attitude, and internet self-efficacy had a direct effect on the video usage. Learning satisfaction was directly influenced by learner-learner interaction, perceived ease of use, and learning performance. Furthermore, the results indicated that video usage had a significant effect both on learning performance and on learning satisfaction. The findings show that the extended TAM model can be applied for predicting the university students' video technology usage and their learning satisfaction regarding the usage.
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format |
article |
author |
Judit T Nagy |
author_facet |
Judit T Nagy |
author_sort |
Judit T Nagy |
title |
Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
title_short |
Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
title_full |
Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
title_fullStr |
Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
title_full_unstemmed |
Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model |
title_sort |
evaluation of online video usage and learning satisfaction: an extension of the technology acceptance model |
publisher |
Athabasca University Press |
publishDate |
2018 |
url |
https://doaj.org/article/684a410582244a959531bc1cbe6b702e |
work_keys_str_mv |
AT judittnagy evaluationofonlinevideousageandlearningsatisfactionanextensionofthetechnologyacceptancemodel |
_version_ |
1718378810407124992 |