Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students
Journal article
Xu, L., Zhang, J., Ding, Y., Sun, G., Zhang, W., Philbin, S. and Guo, B.H.W. (2022). Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students. Frontiers in Psychology. 13, p. 974574. https://doi.org/10.3389/fpsyg.2022.974574
Authors | Xu, L., Zhang, J., Ding, Y., Sun, G., Zhang, W., Philbin, S. and Guo, B.H.W. |
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Abstract | 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. |
Keywords | digital education and training; big data analytics courses; engineering student employability; hard skills; soft skills |
Year | 2022 |
Journal | Frontiers in Psychology |
Journal citation | 13, p. 974574 |
Publisher | Frontiers Media |
ISSN | 1664-1078 |
Digital Object Identifier (DOI) | https://doi.org/10.3389/fpsyg.2022.974574 |
Web address (URL) | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.974574/full |
Publication dates | |
19 Oct 2022 | |
Publication process dates | |
Accepted | 28 Sep 2022 |
Deposited | 20 Oct 2022 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/9245w
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