The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Identifying 21st Century STEM Competencies Using Workplace Data
Open accessAbstract
Abstract Gaps between science, technology, engineering, and mathematics (STEM) education and required workplace skills have been identified in industry, academia, and government. Educators acknowledge the need to reform STEM education to better prepare students for their future careers. We pursue this growing interest in the skills needed for STEM disciplines and ask whether frameworks for 21st century skills and engineering education cover all of important STEM competencies. In this study, we identify important STEM competencies and evaluate the relevance of current frameworks applied in education using the standardized job-specific database operated and maintained by the US Department of Labor. Our analysis of the importance of 109 skills, types of knowledge and work activities, revealed 18 skills, seven categories of knowledge, and 27 work activities important for STEM workers. We investigate the perspectives of STEM and non-STEM job incumbents, comparing the importance of each skill, knowledge, and work activity for the two groups. We aimed to condense dimensions of the 52 key areas by categorizing them according to the Katz and Kahn (1978) framework and testing for inter-rater reliability. Our findings show frameworks for 21st century skills and engineering education do not encompass all important STEM competencies. Implications for STEM education programs are discussed, including how they can bridge gaps between education and important workplace competencies.
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The relation between 21st-century skills and digital skills: A systematic literature review
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.010 · Cited by 2,006
Employability skills for 21st-century STEM students: the employers' perspective
McGunagle, D., & Zizka, L. (2020) · Higher Education, Skills and Work-Based Learning · doi:10.1108/heswbl-10-2019-0148 · Cited by 266
Han, J., Kelley, T., & Knowles, J. G. (2021) · Journal for STEM Education Research · doi:10.1007/s41979-021-00053-3 · Cited by 192
Automation, artificial intelligence and future skills needs: An Irish perspective
Bukartaite, R., & Hooper, D. (2023) · European journal of training and development · doi:10.1108/ejtd-03-2023-0045 · Cited by 65
Metadata
- Authors
- Jang, H.
- Venue
- Journal of Science Education and Technology
- Published
- 2015-12-11
- Volume
- 25
- Issue
- 2
- Pages
- 284-301
- ISSN
- 1059-0145 (ISSN-L)
- 1573-1839
- OpenAlex
- W2179541540
- Cited by
- 313
- References
- 39
- FWCI
- 24.80
- Type
- journal article
- Language
- en
- Open access
- green
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.