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

Simon Philbin, Ruoyu Jin

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number4077516
Pages (from-to)4077516
JournalComputational Intelligence and Neuroscience
Volume2022
DOIs
Publication statusPublished - 28 May 2022
Externally publishedYes

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