What College Access Funding Covers (and Excludes)
GrantID: 59731
Grant Funding Amount Low: $50,000
Deadline: December 15, 2023
Grant Amount High: $100,000
Summary
Explore related grant categories to find additional funding opportunities aligned with this program:
Black, Indigenous, People of Color grants, Community Development & Services grants, Education grants, Higher Education grants, Individual grants, Law, Justice, Juvenile Justice & Legal Services grants.
Grant Overview
Data-Driven Support for College Access
This grant addresses the critical need for improving access to higher education for students from low-income backgrounds through the development of a centralized data tracking system. Specifically, this initiative focuses on identifying gaps in college readiness and successfully navigating admissions processes. Unlike general education funding, this grant excludes projects that do not focus on data analysis or program evaluation as a primary element of their offerings.
A relevant example of this funding's application includes a partnership between a local community college and high schools aimed at creating a comprehensive database that tracks student progress from high school to higher education. The project could involve providing technical assistance to help high school counselors identify students who may require additional preparation or support before applying to college. Another scenario can involve developing analytics tools that schools can use to predict the likelihood of student success based on various socio-economic factors, leading to more targeted programming.
Eligible applicants for this funding are higher education institutions, K-12 schools, and community organizations that focus on data and student support. Conversely, organizations that fail to present a clear strategy for data application in support of college access should not pursue this grant, as it requires measurable outcomes linked to student success.
The funding aligns well with national efforts to increase college completion rates among underrepresented groups by emphasizing data-driven decisions in educational programming. As such, applicants must demonstrate familiarity with existing data sources and a thorough methodology for data collection and analysis. Common pitfalls include underestimating the technological infrastructure needed to support data systems or vague outcomes that do not specify how data will be used in practice. Collaborating with tech partners who can provide expertise in data management will be crucial in successful implementation.
Eligible Regions
Interests
Eligible Requirements
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