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Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction

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 dim...

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Detalles Bibliográficos
Autores principales: Xu, Lin, Zhang, Jingxiao, Yuan, Yin, Zheng, Junwei, Philbin, Simon P., Guo, Brian H. W., Jin, Ruoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167075/
https://www.ncbi.nlm.nih.gov/pubmed/35669663
http://dx.doi.org/10.1155/2022/4077516
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author Xu, Lin
Zhang, Jingxiao
Yuan, Yin
Zheng, Junwei
Philbin, Simon P.
Guo, Brian H. W.
Jin, Ruoyu
author_facet Xu, Lin
Zhang, Jingxiao
Yuan, Yin
Zheng, Junwei
Philbin, Simon P.
Guo, Brian H. W.
Jin, Ruoyu
author_sort Xu, Lin
collection PubMed
description 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.
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spelling pubmed-91670752022-06-05 Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction Xu, Lin Zhang, Jingxiao Yuan, Yin Zheng, Junwei Philbin, Simon P. Guo, Brian H. W. Jin, Ruoyu Comput Intell Neurosci Research Article 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. Hindawi 2022-05-28 /pmc/articles/PMC9167075/ /pubmed/35669663 http://dx.doi.org/10.1155/2022/4077516 Text en Copyright © 2022 Lin Xu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Lin
Zhang, Jingxiao
Yuan, Yin
Zheng, Junwei
Philbin, Simon P.
Guo, Brian H. W.
Jin, Ruoyu
Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title_full Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title_fullStr Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title_full_unstemmed Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title_short Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction
title_sort testing the effects of the digital linguistic landscape on engineering education for smart construction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167075/
https://www.ncbi.nlm.nih.gov/pubmed/35669663
http://dx.doi.org/10.1155/2022/4077516
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