Award Abstract # 2220959
Scholarships, Mentoring, and Professional Support to Improve Engineering & Artificial Intelligence Student Success at Community Colleges

NSF Org: DUE
Division Of Undergraduate Education
Recipient: MARICOPA COUNTY COMMUNITY COLLEGE DISTRICT
Initial Amendment Date: September 21, 2022
Latest Amendment Date: September 22, 2022
Award Number: 2220959
Award Instrument: Standard Grant
Program Manager: Lulu Sun
lsun@nsf.gov
 (703)292-7260
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: January 1, 2023
End Date: December 31, 2028 (Estimated)
Total Intended Award Amount: $1,499,629.00
Total Awarded Amount to Date: $1,499,629.00
Funds Obligated to Date: FY 2022 = $1,499,629.00
History of Investigator:
  • Fanny Silvestri (Principal Investigator)
    fanny.silvestri@cgc.edu
  • Gabriela Rosu (Co-Principal Investigator)
  • Nichole Neal (Co-Principal Investigator)
Recipient Sponsored Research Office: Maricopa County Community College District
2411 W 14TH ST
TEMPE
AZ  US  85281-6941
(480)731-8402
Sponsor Congressional District: 04
Primary Place of Performance: Chandler-Gilbert Community College
2626 E Pecos Rd
Chandler
AZ  US  85225-2413
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): L2V3TUBLQR27
Parent UEI: L2V3TUBLQR27
NSF Program(s): S-STEM-Schlr Sci Tech Eng&Math
Primary Program Source: 1300CYXXDB H-1B FUND, EDU, NSF
Program Reference Code(s): 9178, SMET, 093Z
Program Element Code(s): 153600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Chandler-Gilbert Community College. Chandler-Gilbert Community College, a Hispanic Serving Institution is in the Southeast valley of Phoenix, Arizona where fast-growing high-tech manufacturing industries reside. Over its 6 year duration, this project will fund scholarships to at least 48 unique students who are pursuing Engineering, Engineering Technician, Artificial Intelligence and Machine Learning degrees. The project has the potential to contribute to the national needs for well-educated scientists, mathematicians, engineers, and technicians by increasing the retention and graduation of high-achieving, low-income students. The project team plans to educate a new generation of engineers and artificial intelligence specialists while collecting student success data. The project has the potential to benefit society by developing highly qualified personnel in the community to a growing high-tech workforce while promoting more racial, ethnic, and gender diversity to the engineering and artificial intelligence industries.

The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. The project is to make accessible specialized educational opportunities in Engineering, Artificial Intelligence and Machine Learning in Maricopa County. The project has three components: 1) providing 192 scholarships to at least 48 students; 2) maintaining the eligibility of the recipients by providing academic support; 3) organizing and facilitating extracurricular events, industry partnerships, and professional development. The project will be measured through three indicators: 1) participants will complete their degrees at a higher rate than non-participants; 2) participants will have a higher sense of belonging to the scientific community than their peers; 3) the monthly individual development plan completed by the scholars and their mentors will lead to course completion and scholarship eligibility through up to four semesters. The project team plans to evaluate the project using data collection, surveys, and statistical analysis. The results of the project will be shared with the STEM education community through annual reports, presentations at regional and national conferences, as well as publications. This project is funded by NSF?s Scholarships in Science, Technology, Engineering, and Mathematics 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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Silvestri, Fanny and Neal, Nichole and DeMartini, Erika "Enhancing Sense of Belonging among Engineering and Artificial Intelligence Students: First Insights from the NSF S-STEM Grant in Community College" , 2024 Citation Details

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page