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DC Field | Value | Language |
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dc.contributor.author | Xu, L | - |
dc.contributor.author | Zhang, J | - |
dc.contributor.author | Yuan, Y | - |
dc.contributor.author | Zheng, J | - |
dc.contributor.author | Philbin, SP | - |
dc.contributor.author | Guo, BHW | - |
dc.contributor.author | Jin, R | - |
dc.date.accessioned | 2024-01-23T14:19:29Z | - |
dc.date.available | 2024-01-23T14:19:29Z | - |
dc.date.issued | 2022-05-28 | - |
dc.identifier | ORCID iD: Jingxiao Zhang https://orcid.org/0000-0002-0857-6835 | - |
dc.identifier | ORCID iD: Ruoyu Jin https://orcid.org/0000-0003-0360-6967 | - |
dc.identifier | 4077516 | - |
dc.identifier.citation | Xu, L. et al. (2022) 'Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction', Computational Intelligence and Neuroscience, 2022, 4077516, pp. 1 - 18. doi: 10.1155/2022/4077516. | en_US |
dc.identifier.issn | 1687-5265 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28071 | - |
dc.description | Data Availability: The data used to support the findings of the study could be obtained from the corresponding author upon request. | en_US |
dc.description.abstract | Copyright © 2022 Lin Xu et al. This study investigates the mechanism of digital linguistic landscapes in enabling engineering education for smart construction according to the educational dimensions of A (ability), S (skill), and K (knowledge). A questionnaire survey was conducted based on the core concepts of the informative dimension and symbolic dimension in digital language landscape as well as the ability dimension, knowledge dimension, and skill dimension in engineering education. Structural equation modeling (SEM) was used as the test method. The results of the research demonstrate that the informative dimension and symbolic dimension are two main aspects of DLL in education of engineering students for smart construction. Additionally, DLL has a significant positive impact on the ability, knowledge, and skill education of engineering students for smart construction. The research has theoretical and practical significance, as it not only enriches research on the relationship between DLL and engineering education for smart construction but also expands the theoretical understanding of engineering education from the perspective of linguistics. Furthermore, the study explores the path of the practical application of digital language landscape to engineering education for smart construction. | en_US |
dc.description.sponsorship | This research was supported by the National Social Science Fund Projects (no. 20BJY010), National Social Science Fund Post-Financing Projects (no. 19FJYB017), Sichuan-Tibet Railway Major Fundamental Science Problems Special Fund (no. 71942006), Qinghai Natural Science Foundation (no. 2020-JY-736), List of Key Science and Technology Projects in China’s Transportation Industry in 2018-International Science and Technology Cooperation Project (no. 2018-GH-006 and no. 2019-MS5-100), Emerging Engineering Education Research and Practice Project of Ministry of Education of China (no. E-GKRWJC20202914), Shaanxi Province Higher Education Teaching Reform Project (no. 19BZ016), and Humanities and Social Sciences Research Project of the Ministry of Education (21XJA752003). | en_US |
dc.format.extent | 1 - 18 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Hindawi | en_US |
dc.rights | Copyright © 2022 Lin Xu et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | smart construction engineering students’ qualities | en_US |
dc.subject | abilities | en_US |
dc.title | Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1155/2022/4077516 | - |
dc.relation.isPartOf | Computational Intelligence and Neuroscience | - |
pubs.publication-status | Published | - |
pubs.volume | 2022 | - |
dc.identifier.eissn | 1687-5273 | - |
dc.rights.holder | Lin Xu et al. | - |
Appears in Collections: | Dept of Civil and Environmental Engineering Research Papers |
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FullText.pdf | Copyright © 2022 Lin Xu et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 568.83 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License