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USC Rossier School of Education College Access Challenge Grant Meeting Sandra Luca, Brandi Van Horn and Magdalena Martinez November 16, 2010 Using Data Models to Track Student Access and Success

Using Data Models to Track Student Access and Success

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Page 1: Using Data Models to Track Student Access and Success

USC Rossier School of Education

College Access Challenge Grant Meeting

Sandra Luca, Brandi Van Horn and Magdalena Martinez

November 16, 2010

Using Data Models to Track Student Access and Success

Page 2: Using Data Models to Track Student Access and Success

USC Rossier School of Education

The Center for Urban

Education (CUE)

conducts socially

conscious research

and develops tools

needed for institutions

of higher education to

produce equity in

student outcomes.

Page 3: Using Data Models to Track Student Access and Success

USC Rossier School of Education

Equity in Higher Education

“Equity” refers to creating opportunities for equal access and success among historically underrepresented student populations, in three main areas:

• Representational equity, the proportional participation at all levels of an institution;

• Resource equity, the distribution of educational resources in order to close equity gaps; and

• Equity-mindedness, the demonstration of an awareness of and willingness to address equity issues among institutional leaders and staff.

• CUE assists two- and four-year colleges and universities create teams who inquire into institutional practices and become experts in the experiences and outcomes of their students. These evidence teams learn how to frame unequal outcomes as problems of practice well within their realm of influence. The CUE Equity Model enables practitioners to reframe daunting problems - too often viewed as the inevitable result of student deficits - as solvable challenges.

Page 4: Using Data Models to Track Student Access and Success

USC Rossier School of Education

CUE/WICHE Partnership• Strengthen the capacity of both organizations to advocate for

equity in states’ access and success policies and initiatives.

– Engage WICHE member states. Provide states with the tools to establish metrics and continuously monitor achievement points, including degree completion for underrepresented students.

– Affiliate Program. Create and support a cohort of equity-minded professionals in the policy community in order to ensure the long-term sustainability of efforts to address equality issues in higher education.

– Advocacy. Strengthen capacity to advocate for the development and implementation of metrics, benchmarks, and data practices to assess and monitor the state of racial equity.

Page 5: Using Data Models to Track Student Access and Success

USC Rossier School of Education

<25,000

25,000-74,999

75,000-124,999

125,000-174,999

175,000-399,999

>400,000

<25,000

25,000-74,999

75,000-124,999

125,000-174,999

175,000-399,999

>400,000

How Each WICHE State Should Contribute to the Goal of Producing 8.2 Million

Additional Degrees by 2020

NCHEMS, 2010

# of Additional Degrees

Page 6: Using Data Models to Track Student Access and Success

USC Rossier School of Education

Racial Equity and College Completion

• Despite numerous diversity initiatives, most higher education systems have not met their aspirations for equitable outcomes. Higher education has been least successful in closing the gaps for African American, Latinas and Latinos, and American Indian students. Data at the national, state, and campus levels show that these students have the lowest rate of postsecondary degree attainment.

• In principle, there is a general consensus that these types of ‘racial achievement gaps’ in K-12 and higher education are bad. Yet, it is very difficult to close the racial achievement gap with color-blind actions and without equity as an explicit indicator of institutional accountability.

Page 7: Using Data Models to Track Student Access and Success

USC Rossier School of Education

Benchmarking Equity and Student Success Tool ™

• CUE developed the BESST™ for systems and institutions to use data as a tool to become aware of current trends and to set goals to make college completion goals real and actionable for higher education institutions.

• The BESST™ helps to break down abstract goals into specific rates of success that students must meet at key milestones along the education pipeline.

Page 8: Using Data Models to Track Student Access and Success

USC Rossier School of Education

START ENDM1 M2 M3

A Cohort% of

Original Cohort

A Very Simple BESST Model

Page 9: Using Data Models to Track Student Access and Success

USC Rossier School of Education

NSHE Data Model

NSHE students who begin at the 4-year institution in 2004.

(7 milestone model)

Cohort

•First-Time Four-Year Students who start at NSHE in 2004

Milestone 1

•Enroll in College Level English OR Math

Milestone 2

•Earn 15 Credits

Milestone 3

•Earn 30 Credits

Milestone 4

•Earn 60 Credits

Milestone

5

•Earn 75 Credits

Milestone 6

•Earn 90 Credits

Milestone 7

•Students who earn a bachelor's degree by 2009

Page 10: Using Data Models to Track Student Access and Success

Center for Urban Education

Page 11: Using Data Models to Track Student Access and Success

Center for Urban Education

Milestones: Mark important points

in a student’s college career.

Success Rates: Rate of student

success in a specific milestone.

% of Original Cohort: These figures show the end point of the cohort progression: the number of students

who graduated,

and the percentage

from the original cohort.

Disaggregation:This row

represents the data that is

disaggregated by race/ethnicity.

Page 12: Using Data Models to Track Student Access and Success

USC Rossier School of Education

Questions, Comments?Email:

[email protected]

[email protected]

[email protected]

Center for Urban Education © 2010 All rights reserved. University of Southern California