using cross-sector data for program planning: examples from gear up hawaiʻi nicole atwood, jennifer...

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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 7, 2014

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

Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi

Nicole Atwood, Jennifer Naguwa, and Sena Pierce2014 Data Summit – October 7, 2014

Page 2: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

GAININGEARLYAWARENESS ANDREADINESS FOR UNDERGRADUATEPROGRAMS improve early academic

prep expand college-level

learning increase access to college increase college enrollment

and success

Page 3: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

GEAR UP Hawaiʻi Statewide Grant

Page 4: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Project Planning Cycle

Use data to Identify gaps

Propose focus areas

Collaborate with partners

Design/modify work plans

Implement projects

Page 5: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

GU Accountability Data required for federal reporting

Publicly Available Dataaggregate 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!

Page 6: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

College and Career Readiness Indicators

Report

High school outcomes College enrollment HS to college transition 3-year trends by high

school + statewide

Available at:http://www.p20hawaii.org/resources/college-and-career-readiness-indicators-reports/

Page 8: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Example 1Using data to focus programs

(accelerated learning)

Page 9: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 10: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

GU Accountability Data required for federal reporting

Publicly Available Data2013 CCRI Report

DATA!

Base-line

2011 2012 2013 2014 2015 2016 20170%

4%

8%

12%

16%

20%

10% 12% 12% 16%

10% 11% 12% 12% 13% 14% 14% 15%

AP Course-taking

Performance Targets

Base-line

2011 2012 2013 2014 2015 2016 20170%

10%

20%

30%

40%

50%

25% 21% 32% 46%

25% 25% 26% 26% 27% 28% 29% 30%

Students Graduating with College Credits

Performance Targets

2010 2011 2012 201336%38%40%42%44%46%48%50% 48%

45%

42%41%

Statewide % score > 3 on AP Exam

Performance

2010 (RS only)

2011 2012 20130

200

400

600

800

1000

562 607671 723

Statewide Dual Credit Participants

Performance

Page 11: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 12: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Example 2Using data to identify target

audience(financial aid support)

Page 13: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 14: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

GU Accountability Data required for federal reporting

Publicly Available DataFAFSA app/sub numbers

DATA!

Base-line

2011 2012 2013 2014 2015 2016 20170%

20%

40%

60%

80%

100%

0.67 0.82 0.76

67% 70% 72% 73% 75% 77% 78% 80%

GU Financial Awareness/Parents

Performance Targets

Base-line

2011 2012 2013 2014 2015 2016 20170%

20%

40%

60%

80%

100%

0.31 0.64 0.64

31% 33% 35% 38% 41% 44% 47% 50%

GU Financial Awareness/Students

Performance Targets

FAFSA Submission & Completion Counts

2006-07

2007-08

2008-09

2009-10

2010-11

2011-12

2012-13

2013-14

0

20

40

60

80

100

120

7 8

66 6859

87 87103

Total # of Fin Aid Info Sessions Statewide

Title I

Statewide

Non-Title I

Submitted Completed

Page 15: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 16: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Example 3When you still have

questions…(first year programs)

Page 17: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 18: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Base-line

2011 2012 2013 2014 2015 2016 20170%

20%

40%

60%

80%

100%

43% 46% 48% 45%

43% 48% 50% 52% 55% 57% 60% 62%

GU College Enrollment

Performance Targets2010 2011 2012 2013

47%

49%

51%

53%

55%

50%

53%54% 54%

Statewide % of College Enrollment

Performance

2010 2011 2012 201320%

22%

24%

26%

28%

30%

26%27%

28%

26%

24%

26% 26%

28%

Statewide % Enrollment 2- and 4-year

2-year 4-year

GU Accountability Data required for federal reporting

Publicly Available Data2013 CCRI Report

DATA!

Base-line

2011 2012 2013 2014 2015 2016 20170%

20%

40%

60%

80%

100%

69% 70% 71% 69%

69% 71% 73% 75% 77% 80% 83% 86%

College-level Enrollment/Retention

Performance Targets

Page 19: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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

Page 20: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Challenges + Discussion

Page 21: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Shows us where there may be gaps – but

doesn’t tell us why.

Our Challenges

Data is a year old Our GU population is different. Benchmark

comparisons don’t always tell us much.

Page 22: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

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?

Page 23: Using cross-sector data for program planning: Examples from GEAR UP Hawaiʻi Nicole Atwood, Jennifer Naguwa, and Sena Pierce 2014 Data Summit – October

Mahalo Nui Loa!