
NSF Org: |
DUE Division Of Undergraduate Education |
Recipient: |
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Initial Amendment Date: | August 13, 2020 |
Latest Amendment Date: | January 22, 2025 |
Award Number: | 2026262 |
Award Instrument: | Standard Grant |
Program Manager: |
Connie Della-Piana
DUE Division Of Undergraduate Education EDU Directorate for STEM Education |
Start Date: | September 1, 2020 |
End Date: | January 31, 2026 (Estimated) |
Total Intended Award Amount: | $1,708,318.00 |
Total Awarded Amount to Date: | $1,907,954.00 |
Funds Obligated to Date: |
FY 2024 = $199,636.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
3 RUTGERS PLZ NEW BRUNSWICK NJ US 08901-8559 (848)932-0150 |
Sponsor Congressional District: |
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Primary Place of Performance: |
33 Knightsbridge Road Piscataway NJ US 08854-3925 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Advanced Tech Education Prog |
Primary Program Source: |
04002021DB NSF Education & Human Resource |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.076 |
ABSTRACT
The roles of technicians and two-year institutions are unrecognized in most traditional approaches to measuring the impact of higher education on economic development. This project aims address this gap by identifying the economic impact of technician education programs and workforce development at two-year institutions. The research will investigate the hypothesis that community college technician education programs and the NSF Advanced Technological Education (ATE) Program form an infrastructure that creates both a workforce of skilled technicians and an ecosystem of supports that help to increase workplace productivity and innovation, thus spurring regional economic development. The multi-faceted mixed-methods research study will include a national analysis of community college technician education and economic development, as well as in-depth regional case studies of technician education and industries in advanced manufacturing. The national analyses will examine data from the U.S. Bureau of Labor Statistics Occupational Employment Statistics and the U.S. Census County Business Patterns. Case study sites will be selected based on ATE program investments, level of rurality, manufacturing sector, economic context, and economic development region. The project will advance understanding of technician education?s contribution to economic development in two ways. First, the project will develop a more refined conception of the role that community college technician education plays in economic development. Second, the project will provide a deeper examination of workplace outcomes beyond simple employment and earnings models to generate insights on the nature of technician work and on innovation and productivity in the workplace.
In addition to a new data collection, two primary datasets will be combined in the analyses: the U.S. Bureau of Labor Statistics Occupational Employment Statistics data and the U.S. Census County Business Patterns data. Both use the North American Industry Classification System. The Integrated Post-Secondary Education System data and ATE program award data will be used to measure different cognate areas, such as the number of students in higher education. The National Center for Education Statistics crosswalk between Classification of Instruction Program codes with the Standard Occupation Classification codes will be used to link education programs to occupations. The project will examine trends in technician production from community colleges and trends in the technician labor market, which will be augmented with data from the NSF?s National Training, Education, and Workforce Survey. A quasi-experimental difference-in-differences approach will be used to establish causal linkages between technician education/ATE program and innovation/economic and workforce development. On-going work by the Aspen Institute and the State New Economy Index will inform case study measures and analyses. Comparative analysis of the linked case studies will contribute to: identifying the presence or absence of the phenomenon of interest; exploring how the phenomenon varies across conditions; investigating differences in the impact of the phenomenon; testing theoretical and emerging linkages among different phenomena; and examining conditions under which the phenomenon arises. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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