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

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

doi:10.1155/2022/4077516

Cited by 3 publications

(5 citation statements)

References 89 publications

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“…The findings confirm this view, and we find that both skill dimensions of engineering students educated on big data analytics courses have a positive impact on human capital in the employability dimension. This result is consistent with the research of scholars such as Mauro et al (2017), Masduki and Zakaria (2020), and Escolà-Gascón and Gallifa (2022), which indicates that among the three abilities of the hard skills dimension developed by the big data analytics course, the higher the knowledge level, technical skills and analysis skills, the higher the employability of engineering students (Mauro et al, 2017;Escolà-Gascón and Gallifa, 2022). Among the three soft skills cultivated in the course, the cultivation of decisionmaking ability and communication ability enhances students' inherent thinking mode and learning habits, improves their learning ability, and correspondingly enriches students' internship experience and ability to make systematic career planning (Masduki and Zakaria, 2020).…”

Section: Discussionsupporting

confidence: 93%

“…Finally, the career development dimension in engineering students' employability is also positively influenced by the two skill dimensions developed by the big data analytics course, which confirms previous studies of Munir (2022) and Fox-Turnbull et al (2022). However, from the overall research results, soft skills have a greater impact on the employability of engineering students.…”

Section: Discussionsupporting

confidence: 85%

“…Highly educated employees tend to have abstract experiences, strong decision-making abilities, and career planning skills, which have a positive impact on their careers. Decision-making ability is a basic personal attribute that can affect the success of career development ( Xu et al, 2022 ). That is, the extent to which a person has acquired the skills required for effective decision-making that may facilitate positive outcomes for individuals and organizations in career management, including the achievement of sustainable career paths ( Ceschi et al, 2017 ).…”

Section: Theoretical Model and Research Hypothesesmentioning

confidence: 99%

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Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students

Lin

Zhang²,

Ding³

et al. 2022

Front. Psychol.

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This study aims to explore the role of digital education in the development of skills and employability for engineering students through researching the role of big data analytics courses. The empirical study proposes the hypothesis that both soft and hard skills have positive effects on human capital, individual attributes, and the career development dimensions of engineering students. This is achieved through constructing a framework of three dimensions of engineering students’ employability and two competency development dimensions of big data analytics courses. A questionnaire survey was conducted with 155 college engineering students and a structural equation model (SEM) was used to test the hypotheses. The results found that courses on big data analytics have a positive impact on engineering students’ abilities in both hard skills (p < 0.01) and soft skills (p < 0.001) dimensions, while soft skills have a more significant impact on engineering students’ employability. The study has practical and theoretical implications that further enriches the knowledge base on engineering education and broadens our understanding of the role of digitalization in enhancing the skills and employability of engineering students.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 85%

Section: Theoretical Model and Research Hypothesesmentioning

confidence: 99%

See 1 more Smart Citation

Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students

Lin

Zhang²,

Ding³

et al. 2022

Front. Psychol.

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“…The importance of collaboration in engineering has been noted in many studies, such as: "In the new century, engineering work will increasingly involve interdisciplinary teams, globally diverse team members working together" (53). Indeed, scientists and engineers tend to work in teams and rarely as independent workers.…”

Section: The Relationship Between Subjective Norm and Learning Intent...mentioning

confidence: 99%

Understanding the role of peer pressure on engineering students' learning behavior: A TPB perspective

Zhang

Ding

et al. 2023

Front. Public Health

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IntroductionWith the advent of the digital age, the gradually increasing demands of the engineering job market make it inevitable that engineering students face the pressures that arise from academic life with their peers. To address this issue, this study aims to explore the influence of engineering students' peer pressure on learning behavior based on the theory of planned behavior (TPB).MethodsIn addition to attitudes, subjective norms, and perceived behavioral controls inherent in TPB, two new dimensions—gender difference and peer academic ability—were incorporated to construct a framework of the dimensions of peer pressure as affecting engineering students as well as an expanded model of TPB. A questionnaire survey was conducted with 160 college engineering students and a structural equation model (SEM) was used to test the hypotheses.ResultsThe result showed that positive peer pressure can increase engineering students' learning intention and thus promote learning behavior. It was also determined that the TPB model can effectively explain the effect of peer pressure on learning behavior, in addition to expanding and reshaping the relationship between the attitudinal dimension in the TPB model.DiscussionFrom the results, it is clear that positive attitudes toward learning can trigger positive peer pressure. Good group norms can induce peer pressure through rewards and punishments as a way to motivate students' learning intention and learning behaviors. When peer pressure is perceived, students mobilize positive emotions toward learning. Meanwhile, both male and female engineering students are also significantly motivated by high peer achievement, and high-performing female students motivate their male peers, which leads to higher graduation rates.

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“…Howard and Mozejko classify the three "eras" of digital technology convergence as predigital, the personal computer, and the internet [53], which have exacerbated changes in the labor market. Today, the engineering sector faces many pressing challenges, including increasing productivity levels, coping with high levels of fragmentation and complexity, and taking advantage of emerging opportunities in digital transformation [54]. For engineering students, one of the biggest differences between the study of engineering and that of other professions is the need for engineering professionals to learn engineering drawing.…”

Section: The Relationship Between Non-verbal Skills and The Employabi...mentioning

confidence: 99%

Evaluating the Role of the Communication Skills of Engineering Students on Employability According to the Outcome-Based Education (OBE) Theory

2023

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With the advent of the digital age and Industry 4.0, the communication skills of engineering students has been exerting gradually increasing influence on the need for enhanced student employability. To address this issue, this study evaluates the influence of communication skills on the employability of engineering students from the aspects of verbal and non-verbal skills through the four key elements of Outcome-Based Education (OBE) theory. A total of 130 college engineering students and practitioners participated in the questionnaire survey, and the hypotheses were tested by regression analysis and a structural equation model (SEM). The results show that in the digital age, the verbal (p < 0.01) and non-verbal (p < 0.001) components of students’ communication skills play a significant role in the employability of engineering students. Meanwhile, the employer’s assessment simultaneously makes a significant contribution to the further improvement of students’ communication skills, which can help educators further cultivate and improve students’ communication skills through the assessment of their employability by employers. Therefore, this research has theoretical and practical significance, which not only enriches the basic theoretical knowledge, but also broadens the training methods of engineering students in the digital age, thus enhancing their employability.

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

Cited by 3 publications

References 89 publications

Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students

Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students

Understanding the role of peer pressure on engineering students' learning behavior: A TPB perspective

Evaluating the Role of the Communication Skills of Engineering Students on Employability According to the Outcome-Based Education (OBE) Theory

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