School of Foreign Languages, Northwest University, Xi'an 710127, China.
School of Economics and Management, Chang'an University, Xi'an 710064, China.
Comput Intell Neurosci. 2022 May 28;2022:4077516. doi: 10.1155/2022/4077516. eCollection 2022.
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.
本研究根据工程教育的 A（能力）、S（技能）和 K（知识）教育维度，探讨了数字语言景观在智能建筑工程教育中的作用机制。本研究基于数字语言景观的信息维度和象征维度的核心概念，以及工程教育中的能力维度、知识维度和技能维度，设计了一份问卷进行调查。结构方程模型（SEM）被用作测试方法。研究结果表明，信息维度和象征维度是数字语言景观在智能建筑工程学生教育中的两个主要方面。此外，数字语言景观对智能建筑工程学生的能力、知识和技能教育具有显著的积极影响。本研究具有理论和实践意义，它不仅丰富了数字语言景观与智能建筑工程教育关系的研究，还从语言学的角度扩展了对工程教育的理论认识。此外，本研究探讨了将数字语言景观应用于智能建筑工程教育的实际途径。
