Testing the effects of the digital linguistic landscape on engineering education for smart construction

  • Lin Xu
  • , Jingxiao Zhang
  • , Yin Yuan
  • , Junwei Zheng
  • , Simon P. Philbin
  • , Brian H.W. Guo
  • , Ruoyu Jin

    Research output: Contribution to journalArticlepeer-review

    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 numbere4077516
    JournalComputational Intelligence and Neuroscience
    Volume2022
    DOIs
    Publication statusPublished - 28 May 2022

    Keywords

    • Civil engineering

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