The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Motivational factors that influence the acceptance of Moodle using TAM
Open accessAbstract
Moodle and other virtual teaching platforms have bolstered the ability and motivation of universities to support distance learning. The aim of our study is to improve understanding of the motivational factors behind student satisfaction, or dissatisfaction, with the Web-based learning platform, Moodle. Our study extends the Technology Acceptance Model (TAM) to include technical support and perceived self-efficacy, with the expectation that they influence usage of Moodle. We surveyed 226 students of the Business Administration and Management (LADE) and Infant and Primary School Teaching degree courses of the University of Huelva. The data showed that technical support has a direct effect on perceived ease of use and perceived usefulness. Moodle usage was also directly influenced by perceived ease of use and attitude. The results reveal the importance of perceived ease of use and perceived usefulness on attitude.
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Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.004 · Cited by 1,350
Technology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204
Abdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986
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Metadata
- Authors
- Sánchez, R. A., & Hueros, A. D.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 26
- Issue
- 6
- Pages
- 1632-1640
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2092273434
- Cited by
- 556
- References
- 16
- FWCI
- 41.03
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.