In this research paper, we compare the alignment between advanced manufacturing (AM) competencies in Florida’s Career and Technical Education (CTE) AM Curriculum Framework and the U.S. Department of Labor’s Advanced Manufacturing Competency Model. AM educators are guided by state department of education documents that specify program content, while employers track the knowledge, skills, and dispositions that AM technicians require to successfully function in the workplace. The Curriculum Framework, created with input from educators and industry, shape AM curricula and course syllabi because they specify the learning outcomes that AM graduates upon completion of two-year AM degree programs. The Department of Labor’s Advanced Manufacturing Competency Model, crafted by federal policymakers and industry representatives, includes personal, academic, industry-specific, and managerial competencies needed by successful AM technicians; the Model is intended to influence technicians’ hiring, training, and evaluation. Although these documents were created by different sets of stakeholders, they “bookend” AM technicians’ school-to-career pathways. To determine the extent to which the 2019-2020 Florida AM Curriculum Framework aligns to the Department of Labor’s Advanced Manufacturing Competency Model, we used text mining to extract and compare the key competencies found in both documents. Through this approach, we compared these documents and identified: 1) frequently addressedmore »
Analyzing Three Competency Models of Advanced Manufacturing
In this research paper, we present a study in which we analyzed and compared three competency models of manufacturing to assess how well the models visually communicate advanced manufacturing (AM) competencies. Advanced manufacturing covers new industrial processes that improve upon traditional methods in quality, speed, and cost. In addition, the dynamic nature of technology and innovation has made it difficult to find a unified illustration of key advanced manufacturing skills. However, three visual models of manufacturing illustrate various stakeholders’ perceptions of the field and depict the competencies individuals need to join the AM workforce. The three models we analyzed are: U.S. Department of Labor’s Advanced Manufacturing Competency Model, the Society of Manufacturing Engineers’ Four Pillars of Manufacturing Knowledge, and the National Association of Manufacturers-endorsed Manufacturing Skills Certification System. While the content in these models has been validated by governmental, industry, and educational stakeholders, less explored is whether these models, as visual media, are readily understandable by their intended audiences. In this paper, we will provide an in-depth analysis of these models by using the six fundamental principles of visual design by Edward Tufte (2006): comparisons, causality, multivariate analysis, integration evidence, documentation, and content. Taken together, these principles allowed us to more »
- Award ID(s):
- 1700581
- Publication Date:
- NSF-PAR ID:
- 10109952
- Journal Name:
- ASEE annual conference & exposition
- ISSN:
- 2153-5965
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
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 processedmore »
-
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 »
-
In this research paper, we report our assessment of the congruence between two-year advanced manufacturing (AM) program syllabi to employer needs expressed in the Department of Labor’s (DOL) AM Competency Model. The dynamic AM industry relies on two-year AM technician program graduates from state and community colleges. These program curricula are mandated to reflect state career and technology education (CTE) curriculum frameworks, but the frameworks are not designed to measure graduates' abilities to meet AM employers’ current needs. Because this technology-reliant industry changes so quickly, faculty are challenged to source, develop, and implement responsive educational experiences. Through consultation with industry leaders, the Department of Labor (DOL) developed an AM competency model to illustrate and promote workers’ necessary knowledge, skills, and dispositions. To determine whether the AM competency model can function as an exit assessment for AM program graduates, we compared AM program syllabi from five rural Northwest Florida state colleges to the DOL AM Competency Model. We text-mined competencies in both syllabi and the AM Competency Model and compared them to identify: 1) frequently addressed topics; 2) verbs guiding course learning outcomes versus the skill depth desired by employers; and 3) overall match between documents. Our findings indicate that despitemore »
-
Global economists have cited advanced manufacturing (AM) as one of the fastest growing, dynamic, and economically instrumental industry sectors in the world. In response, many community colleges and undergraduate-serving institutions have established technician education programs to prepare future workers to support AM vitality and innovation. However, in the rush to couple market and training demands, stakeholders have not agreed upon a definition of the field. Without a central notion of AM, the competencies and professional identities of AM workers are likewise unclear. In an effort to address this consensus gap, we undertook an extensive systematic review of AM definitions to chart of sector’s topography, in an effort to understand AM’s breadth and depth. The goals of this study were to: 1) define AM as perceived by policymakers and 2) identify important concepts and contextual factors that comprise and shape our understanding of AM. In this study, we used systematic policy and literature review approach to analyze canonical and research-based publications pertaining to AM’s origins, components, and operational definitions. We classified, compared, and synthesized definitions of AM depending by stakeholder, for example, professional organizations, government agencies, or educational program accreditors. Among our notable findings is that in the eyes of policymakers,more »