The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Student acceptance of virtual laboratory and practical work: An extension of the technology acceptance model
Open accessAbstract
Abstract The development of Internet technologies and new ways of sharing information has facilitated the emergence of a variety of elearning scenarios. However, in technological areas such as engineering, where students must carry out hands-on exercises and laboratory work essential for their learning, it is not so easy to design online environments for practicals. The aim of this experimental study was to examine students' acceptance of technology and the process of adopting an online learning environment incorporating web-based resources, such as virtual laboratories, interactive activities, and educational videos, and a game-based learning methodology. To this end, their responses to an online questionnaire (n = 223) were analyzed using structural equation modeling. The study was based on the technology acceptance model (TAM), but included and assessed other factors such as perceived efficiency, playfulness, and satisfaction, which are not explained by the TAM. Our results confirm that this extension of the TAM provides a useful theoretical model to help understand and explain users' acceptance of an online learning environment incorporating virtual laboratory and practical work. Our results also indicate that efficiency, playfulness, and students' degree of satisfaction are factors that positively influence the original TAM variables and students' acceptance of this technology. Here, we also discuss the significant theoretical and spractical implications for educational use of these web-based resources.
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Cited by
Choi, S., Jang, Y., & Kim, H. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2049145 · Cited by 294
Zhang, Z., Cao, T., Shu, J., & Liu, H. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2020.1723113 · Cited by 164
Simulators in Educational Robotics: A Review
Tselegkaridis, S., & Sapounidis, T. (2021) · Education Sciences · doi:10.3390/educsci11010011 · Cited by 104
Muhaimin, Asrial, Habibi, A., Mukminin, A., & Hadisaputra, P. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04631 · Cited by 77
Liu, F., Chang, X., Zhu, Q., Huang, Y., Li, Y., & Wang, H. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06232-1 · Cited by 35
Metadata
- Authors
- Estriegana, R., Medina-Merodio, J.-A., & Barchino, R.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 135
- Pages
- 1-14
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2915956846
- Cited by
- 334
- References
- 70
- FWCI
- 50.13
- 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).
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