Xu Lin, Zhang Jingxiao, Ding Yiying, Sun Gangzhu, Zhang Wei, Philbin Simon P, Guo Brian H W
School of Foreign Languages, Northwest University, Xi'an, China.
School of Economics and Management, Chang'an University, Xi'an, China.
Front Psychol. 2022 Oct 19;13:974574. doi: 10.3389/fpsyg.2022.974574. eCollection 2022.
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 ( < 0.01) and soft skills ( < 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.
本研究旨在通过研究大数据分析课程的作用，探讨数字教育在工科学生技能发展和就业能力培养中的作用。实证研究提出假设，即软技能和硬技能对工科学生的人力资本、个人特质以及职业发展维度均有积极影响。这是通过构建工科学生就业能力的三个维度框架以及大数据分析课程的两个能力发展维度来实现的。对155名工科大学生进行了问卷调查，并使用结构方程模型（SEM）来检验假设。结果发现，大数据分析课程对工科学生硬技能（<0.01）和软技能（<0.001）维度的能力均有积极影响，而软技能对工科学生的就业能力影响更为显著。该研究具有实践和理论意义，进一步丰富了工程教育的知识库，并拓宽了我们对数字化在提升工科学生技能和就业能力方面作用的理解。
