| NSF Org: |
DUE Division Of Undergraduate Education |
| Recipient: |
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| Initial Amendment Date: | March 15, 2021 |
| Latest Amendment Date: | September 19, 2023 |
| Award Number: | 2055411 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Paul Tymann
ptymann@nsf.gov (703)292-2832 DUE Division Of Undergraduate Education EDU Directorate for STEM Education |
| Start Date: | July 1, 2021 |
| End Date: | June 30, 2024 (Estimated) |
| Total Intended Award Amount: | $576,315.00 |
| Total Awarded Amount to Date: | $576,315.00 |
| Funds Obligated to Date: |
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| Recipient Sponsored Research Office: |
444 W 3RD ST # 12 DAYTON OH US 45402-1453 (937)512-4573 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
444 West Third Street Dayton OH US 45402-1460 |
| 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: |
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| 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
Data analytics is having an enormous impact on society and the economy. As the field of data analytics evolves, there will be an increasing need for technicians with skills in data analytics who can work in a wide range of job roles. Unfortunately, the number of students pursuing careers in data analytics is not keeping pace with workforce demand, particularly among populations underrepresented in science, technology, engineering, and mathematics. This project aims to prepare the future workforce by establishing pathways that generate interest in data analytics careers, support the transfer of data literate high school students into postsecondary programs, and prepare them to fill the growing demand for data analytics technicians. Project activities will provide multiple opportunities for high school students to explore and begin a data analytics pathway. The project will leverage several strategies for attracting and retaining populations typically underrepresented in STEM careers and support student success. These strategies include equitable and inclusive instructional design, experiential learning, accelerated credential completion, affordability, and comprehensive student support.
In this project, Sinclair Community College will partner with local industry in southwest Ohio to develop a data analytics technician pathway for students that will facilitate their transfer into college and support their postsecondary credential completion in preparation for careers in data analytics. A stackable certificate model will be developed to prepare students for entry-level data analytics jobs and be beneficial to those who need to earn a credential quickly to enter the job market. The model will also provide clear pathways to further education that can lead to higher-paying jobs. The project will share data literacy concepts and information about data science careers with high school students and teachers. Dual high school/college credit courses will be offered to accelerate college credential completion while students are still in high school. The project will engage high school teachers in data literacy professional development opportunities to increase learning in statistics using R and Python for data analytics. College students will benefit from enhanced experiential learning opportunities designed to increase data career-related technical skills and connections with potential employers.
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.
Please report errors in award information by writing to: awardsearch@nsf.gov.
