2221680
Project Grant
Overview
Grant Description
Enhancing Career and Academic Pathways Through High-Quality Evidence-Based Educational Practices
This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by leveraging an established consortium of four institutions of higher education across California and Texas. Over its 6-year duration, the project will provide 85 scholarships to high-achieving, low-income students with demonstrated financial need. Of these, 24 students will earn an associate degree in Computer Science (CS) at a feeder college and then transfer to a partnering consortium 4-year institution to earn a bachelor's degree in CS. Scholars will be funded for up to four years, with the possibility for an additional year to complete a graduate degree.
Scholars will actively engage in co-curricular activities focused on cybersecurity, data science, and professional development to support their trajectories through undergraduate and graduate studies. The goal of the program is to help position scholars for full-time career opportunities that meet the needs of the industry. Graduating scholars will be equipped to contribute to industry demands and grand challenges of the 21st century in cybersecurity and data science.
The research component of this project will inform the education research and computing communities about the specific elements that are needed to create inclusive learning environments in computing. It will also build a foundation of knowledge on factors that facilitate the adoption and sustainability of evidence-based reforms that serve low-income, academically talented students in computing. This study will utilize a sociocultural lens to examine how S-STEM scholars develop and expand communities of computing practice. Research methods will include participant observation, semi-structured individual and group interviews, document analysis, and survey methods. Analysis will involve inductive and deductive coding practices, constant comparative analysis, and statistical analysis of differences in student outcomes.
This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students. 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.
This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by leveraging an established consortium of four institutions of higher education across California and Texas. Over its 6-year duration, the project will provide 85 scholarships to high-achieving, low-income students with demonstrated financial need. Of these, 24 students will earn an associate degree in Computer Science (CS) at a feeder college and then transfer to a partnering consortium 4-year institution to earn a bachelor's degree in CS. Scholars will be funded for up to four years, with the possibility for an additional year to complete a graduate degree.
Scholars will actively engage in co-curricular activities focused on cybersecurity, data science, and professional development to support their trajectories through undergraduate and graduate studies. The goal of the program is to help position scholars for full-time career opportunities that meet the needs of the industry. Graduating scholars will be equipped to contribute to industry demands and grand challenges of the 21st century in cybersecurity and data science.
The research component of this project will inform the education research and computing communities about the specific elements that are needed to create inclusive learning environments in computing. It will also build a foundation of knowledge on factors that facilitate the adoption and sustainability of evidence-based reforms that serve low-income, academically talented students in computing. This study will utilize a sociocultural lens to examine how S-STEM scholars develop and expand communities of computing practice. Research methods will include participant observation, semi-structured individual and group interviews, document analysis, and survey methods. Analysis will involve inductive and deductive coding practices, constant comparative analysis, and statistical analysis of differences in student outcomes.
This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students. 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.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SCHOLARSHIPS IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22527
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
El Paso,
Texas
79968-0001
United States
Geographic Scope
Single Zip Code
The University Of Texas At El Paso was awarded
Enhancing Career & Academic Pathways through Evidence-Based Education
Project Grant 2221680
worth $4,978,403
from the Division of Undergraduate Education in August 2022 with work to be completed primarily in El Paso Texas United States.
The grant
has a duration of 6 years and
was awarded through assistance program 47.076 Education and Human Resources.
The Project Grant was awarded through grant opportunity NSF Scholarships in Science, Technology, Engineering, and Mathematics Program.
Status
(Ongoing)
Last Modified 1/5/24
Period of Performance
8/1/22
Start Date
7/31/28
End Date
Funding Split
$5.0M
Federal Obligation
$0.0
Non-Federal Obligation
$5.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2221680
Transaction History
Modifications to 2221680
Additional Detail
Award ID FAIN
2221680
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
491104 DIVISION OF UNDERGRADUATE EDUCATION
Funding Office
491104 DIVISION OF UNDERGRADUATE EDUCATION
Awardee UEI
C1DEGMMKC7W7
Awardee CAGE
0MLB3
Performance District
TX-16
Senators
John Cornyn
Ted Cruz
Ted Cruz
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Salaries and Expenses, H-1B Funded, Education and Human Resources, National Science Foundation (049-5176) | General science and basic research | Grants, subsidies, and contributions (41.0) | $4,978,403 | 100% |
Modified: 1/5/24