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 Xu, Jingxiao Zhang, Yiying Ding, Gangzhu Sun, Wei Zhang, Simon P Philbin, Brian H W Guo

Abstract read

In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Modeling the effect of postgraduate courses on soft skills: a practical approach.Frontiers in psychology · 2023
Article
Understanding the role of peer pressure on engineering students' learning behavior: A TPB perspective.Frontiers in public health · 2022
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lin XuSchool of Foreign Languages, Northwest University, Xi'an, China.

Jingxiao ZhangSchool of Economics and Management, Chang'an University, Xi'an, China.

Yiying DingSchool of Foreign Languages, Northwest University, Xi'an, China.

Gangzhu SunSchool of Civil Engineering, Zhengzhou University, Zhengzhou, China.

Wei ZhangInstitute of China's Science Technology and Education Policy, Zhejiang University, Hangzhou, China.

Simon P PhilbinSchool of Engineering, London South Bank University, London, United Kingdom.

Brian H W GuoDepartment of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

big data analytics coursesdigital education and trainingengineering student employabilityhard skillssoft skills

Identifiers

PMID36337501

DOI10.3389/fpsyg.2022.974574

PMCPMC9627341

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.