The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Employability skills for 21st-century STEM students: the employers' perspective
Open accessAbstract
Purpose: One of the goals of educational institutions is to prepare their graduates to be workplace-ready. The purpose of this paper is to identify the employability skills lacking in the Science, Technology, Engineering and Math (STEM) industry from employers' perspectives to assist STEM educational institutions in creating more relevant programs inclusive of employability skills. Design/methodology/approach: This study addresses 16 job-specific skills based on data deriving from the responses of 250 Human Resource Managers (HRMs) who represent five manufacturing industries (Aerospace and Defense, Automotive, Consumer Products, Electronics and Industrial Manufacturing) located in five regions (Northeast, Midwest, Southeast, West-Mountain and Pacific) of the United States. Findings: The median scores for all 16 skills confirmed their importance for employability in the five manufacturing industries. The five highest ranking skills were team player, self-motivation, verbal communication, problem-solving and being proactive, which align with previous studies on workplace skills. Research limitations/implications: This paper is a call to all STEM educational institution stakeholders, both internal and external, to re-assess current curriculum and programs and collaborate to narrow the gap between graduate competencies and the practical needs of the workplace. Originality/value: This paper attempts to bridge the gap between the competencies gained in STEM educational institutions and the competencies needed for the future workplace, as confirmed by HRM professionals. Although this study is focused on STEM educational institutions in the United States, it will be of interest to all STEM educational institutions worldwide who play a significant role in preparing the next generation of employees for the global workplace.
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Cites
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Employability: developing a framework for policy analysis
Hillage, J. (1998) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 1,032
Rethinking graduate employability: the role of capital, individual attributes and context
Clarke, M. (2018) · Studies in Higher Education · doi:10.1080/03075079.2017.1294152 · Cited by 882
Employability in higher education: what it is, what it is not
Yorke, M. (2006) · Cited by 837
Employability and Good Learning in Higher Education
Knight, P. T., & Yorke, M. (2003) · Teaching in Higher Education · doi:10.1080/1356251032000052294 · Cited by 421
Identifying 21st Century STEM Competencies Using Workplace Data
Jang, H. (2016) · Journal of Science Education and Technology · doi:10.1007/s10956-015-9593-1 · Cited by 313
Rethinking STEM Education: An Interdisciplinary STEAM Curriculum
Madden, M. E., Baxter, M., Beauchamp, H., Bouchard, K., Habermas, D., Huff, M., Ladd, B., Pearon, J., & Plague, G. (2013) · Procedia Computer Science · doi:10.1016/j.procs.2013.09.316 · Cited by 230
Embedding and integrating employability
Harvey, L. (2005) · New Directions for Institutional Research · doi:10.1002/ir.160 · Cited by 180
Employability in the Undergraduate Curriculum: some student perspectives
YORKE, M. (2004) · European Journal of Education · doi:10.1111/j.1465-3435.2004.00194.x · Cited by 162
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Metadata
- Authors
- McGunagle, D., & Zizka, L.
- Venue
- Higher Education, Skills and Work-Based Learning
- Publisher
- Emerald
- Published
- 2020-04-14
- Volume
- 10
- Issue
- 3
- Pages
- 591-606
- ISSN
- 2042-3896 (ISSN-L)
- OpenAlex
- W3016763801
- Cited by
- 266
- References
- 22
- FWCI
- 47.10
- Type
- journal article
- Language
- en
- Open access
- green
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- McGunagle, D., & Zizka, L. (2020). Employability skills for 21st-century STEM students: the employers' perspective. Higher Education, Skills and Work-Based Learning. https://doi.org/10.1108/heswbl-10-2019-0148
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.