In northwest Florida, advanced manufacturing (AM) jobs far outpace the middle-skilled technician workforce, though AM constitutes almost a quarter of the region’s total employment. From 2018-2028, of the available 4.6 million manufacturing jobs, less than half are likely to be filled due to talent shortages. This widening “skills gap” is attributed to many factors that range from new technologies in the AM industry (e.g., artificial intelligence, robotics), a need for newer recruiting methods, branding, and incentives in AM educational programs. Some professionals have even indicated that manufacturing industries and AM educational programs should be aligned more to reflect the needs of the industry. Even in the wake of Covid-19, when there have been over 700,000 manufacturing jobs lost due to market conditions, many states still have jobs that go unfilled further suggesting that there are challenges in filling AM technician positions. In a time when technicians in AM are in high demand and the number of graduates are in low supply, it is critical to identify whether AM education is meeting the needs of new professionals in the workforce and what they believe can be improved in these programs. This is especially true in rural locales, where economies with manufacturingmore »
Facilitating Advanced Manufacturing Technicians' Readiness in the Rural Economy: A Competency-based Deductive Approach
While rural manufacturing job availability is growing throughout the country, rural communities often lack skilled workers. Thus, it is imperative for employers to validate needed new professional competencies by understanding which skills can be taught on-the-job as well as the knowledge and abilities best gained through classroom learning and experiential learning opportunities. This enhanced understanding not only benefits employers’ hiring practices, but also it can help Career and Technical Education (CTE) programs improve curricula and expand learning opportunities to best meet students’ and employers’ needs. In this study, we triangulated industry competency model content with rural employer perspectives on new advanced manufacturing (AM) professionals’ desired competencies (i.e., the level of skill sophistication in a particular AM work area). To extract competencies for entry-level AM rural jobs, we used a deductive approach with multiple methods. First, we used Natural Language Processing (NLP) to extract, analyze, and compare the U.S. Department of Labor’s AM 2010 and 2020 Competency Models because they reflect the levels and topics AM industry professionals nationally reported as technician needs. Then, we interviewed 10 rural AM employers in North Florida to capture their perceptions of the most important competencies for new middle-skill technicians. Interview transcripts were also processed more »
- Award ID(s):
- 1700581
- Publication Date:
- NSF-PAR ID:
- 10289593
- Journal Name:
- 2021 ASEE Virtual Annual Conference
- Sponsoring Org:
- National Science Foundation
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