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Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October.

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Presentation on theme: "Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October."— Presentation transcript:

1 Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October 7, 2014

2 G AINING E ARLY A WARENESS AND R EADINESS FOR U NDERGRADUATE P ROGRAMS improve early academic prep expand college-level learning increase access to college increase college enrollment and success

3 GEAR UP Hawai ʻ i Statewide Grant

4 Project Planning Cycle Use data to Identify gaps Propose focus areas Collaborate with partners Design/modify work plans Implement projects

5 GU Accountability Data required for federal reporting Publicly Available Data aggregate and some cross-sector Student-level data Data defined by federal government Can show trends in population of service over time Aggregate data Data defined by report developer Can show statewide trends over time DATA !

6 College and Career Readiness Indicators Report High school outcomes College enrollment HS to college transition 3-year trends by high school + statewide Available at: e-and-career-readiness-indicators-reports/

7 FAFSA Completion by High School # FAFSA submitted # FAFSA completed Bi-weekly Jan-Jun Monthly Jul-Dec Available at: https://studentaid.ed.gov/about/data- center/student/application-volume/fafsa- completion-high-school

8 Example 1 Using data to focus programs (accelerated learning)

9 Accelerated Learning Options Programs that provide high school students with exposure to the rigors of college level coursework. Expand college level learning opportunities High school students Students served vary by program

10 GU Accountability Data required for federal reporting Publicly Available Data 2013 CCRI Report DATA !

11 Increase in AP course-taking ≠ Increase in students earning 3+ on AP exam Not as dramatic of an increase in dual credit students  Students may not be academically prepared to take AP course/exam.  Dual credit participation has only increased at certain schools.  Explore opportunities to provide academic support to students throughout AP course.  Early College High School Program grant Planning Process

12 Example 2 Using data to identify target audience (financial aid support)

13 Financial Aid Support Partner with financial aid organizations to support students through the financial aid process Increase FAFSA completion rates High school seniors Four primary partners

14 GU Accountability Data required for federal reporting Publicly Available Data FAFSA app/sub numbers DATA ! FAFSA Submission & Completion Counts Title I Statewide Non-Title I SubmittedCompleted

15 FAFSA submission/completion rates are down while the number of info sessions have increased. Not all schools are served equally  Attendance at info session ≠ FAFSA completion  Hands-on events = increased FAFSA completion  More support for underserved areas = increased submissions from those schools Focus on hands-on events targeting underserved schools with low FAFSA completion rates Planning Process

16 Example 3 When you still have questions… (first year programs)

17 UH Partners Program Partner with UH campuses to pilot/expand projects that support low-income first years Increase college enrollment and success Target: low-income true first year freshman Nine UH campuses

18 GU Accountability Data required for federal reporting Publicly Available Data 2013 CCRI Report DATA !

19 Little change over baseline college enrollment while statewide is on the rise Retention = No change over baseline and no comparison data  Mostly focused programs on aspirations and application over enrollment  May not have non-academic skills (?)  Competing obligations are priorities (?)  Focus on “next steps” support from app to enrollment  First year needs assessment Planning Process

20 Challenges + Discussion

21 Shows us where there may be gaps – but doesn’t tell us why. Our Challenges Data is a year oldOur GU population is different. Benchmark comparisons don’t always tell us much.

22 1.With your neighbor… Discuss your or your organization’s experience using available data for program planning. What data did you use? (accountability, publicly available, etc.) What worked/didn’t? 2.Whole group… Advice or suggestions for other/better data? Best practices?

23 Mahalo Nui Loa!

24 Contact us: Nicole Atwood: Jennifer Naguwa: Sena Pierce:


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