March 10, 2012
Using Data to Drive Decisions in Different Models for Raising Student Achievement Grad Nation March 19, 2012
Aimee Rogstad Guidera, Executive Director Data Quality Campaign
Achievement Grad Nation March 19, 2012 Aimee Rogstad Guidera, - - PowerPoint PPT Presentation
Using Data to Drive Decisions in Different Models for Raising Student Achievement Grad Nation March 19, 2012 Aimee Rogstad Guidera, Executive Director Data Quality Campaign March 10, 2012 Data is Power Data Is Power Video Changing the
March 10, 2012
Using Data to Drive Decisions in Different Models for Raising Student Achievement Grad Nation March 19, 2012
Aimee Rogstad Guidera, Executive Director Data Quality Campaign
Data is Power
Data Is Power Video
Changing the Culture Around Data Use
Every State Has Capacity to Empower Education Stakeholders with Data
36 states have all 10 Elements, up from zero in 2005
For state-by-state analysis and to view the state respondents, please visit: http://www.dataqualitycampaign.org/stateanalysis
States Have Made Incredible Progress
» Better Data: Every state has robust longitudinal data that extend beyond test scores. » Improved Access: States are increasingly providing better data to appropriate stakeholders. » Increased Awareness: States are making this increased capacity known. » Long-term Sustainability: States are planning for the future.
Every state has the capacity to empower education stakeholders with data.
States Have Not Taken Action to Support Effective Data Use
No state has all 10 Actions
10 State Actions 1. Link P-20/W Data Systems (11 states) 2. Create stable, sustained support (27) 3. Develop governance structures (36) 4. Build data repositories (44) 5. Provide timely data access (2) 6. Create individual student progress reports (29) 7. Create longitudinal reports (36) 8. Develop research agenda (31) 9. Build educator capacity (3)
data (23)
Early Childhood K-12 Postsecondary Workforce
Which preschool programs best prepare students for kindergarten? To what degrees are high school math grades predictors of readiness for college math? What industries are most employing high school and college graduates? How successful are college graduates in the workforce by major or credential? What is the graduation rate by high school?Profile from the field: Colorado
Georgia SLDS If districts choose to add “the button” GA pays for the vendor to add the five lines
add the button.
By Working Together, We Get There Faster
Higher Capacity District Lower Capacity District
State
Improved Student Outcomes
Toughest Issues Remain
Turf Trust Technical Issues Time
Three Actions You Can Take to Leverage the Power of Data to Increase Student Achievement
1. Demand the data. 2. Use the data to inform your efforts—before, during, after. 3. Empower stakeholders with data by making it accessible, easy to use, tailored to need. The data are a vital tool to inform and improve your efforts to ensure all students are prepared for the 21st century.
Maryland Longitudinal Data System (MLDS)
Data-driven Decisions for Maryland’s P-20 Education and Workforce System
Pat Mikos
Division of Career and College Readiness
Maryland Public Schools: #1 in the Nation Four Years in a Row www.MarylandPublicSchools.orgThe Maryland State Longitudinal Data System is a policy based system designed to answer 15 education-to-education and education-to-work transition, readiness, and effectiveness preparation policy questions.
Development of the MLDS
PreK-12 Colleges and Universities Workforce and Training
P20W Tools -- Dashboards
Data FunnelP20w MLDS Database
P20W 360’ Dashboard & Analytics MSDE P12 Data DLLR Data MHEC Data Other SystemsDirect Federated
http://daaobi.msde.state.md.us:7008/analytics/saw.dll?DashboardMLDS Analyst
Next Steps:
DashboardsMSDE (P-12) MHEC (2-4yr. Colleges) DLLR (Workforce)
Grad Nation Coordinator Jefferson County Public Schools
Cindy Eggleton, Senior Director, Educational Preparedness, United Way for Southeastern Michigan
In 2008, a John Hopkins study found there were 2000 schools that graduated less than 60 percent
In Michigan, there were 73 schools labeled as drop out factories. In SE Michigan, there were 30 drop out factories – 20 of which were in Detroit neighborhoods.
In our Network, that makes approximately 36,000 kids.
It was for these reasons that we created the following BHAG (Big, Hairy, Audacious Goal):
39most skilled and educated workforce by 2030.
We got to work!
After 45 days we had the first turnaround summit. We brought together public/private/government/unions and the schools. We created the space for a shared vision.
We had a plan.
40Now the story of applying a model and using data to drive this begins Our mantra was…
“We think we can, we think we can, we think we can.” We made a commitment to turnaround – or close all 30 schools.
41…This is where it gets interesting.
42One month before school started…
At the Cody Campus, 7 kids were shot near the school. Cody opened with less than 26 kids per school. We also had principals unable to do the work. After a year, only 2 of the original principals remain.
This is HARD work.
43And Then..
Hmmm…
We knew we had to have the following in our DNA: A relentless approach A focus on relationships Data informed and driven
Staying on a PATH is not as easy as it may SEEM.
44A vision for a EWI dashboard:
45Our lessons started with a long view.
This is what we saw our first year.
9th Grade Chronic Absenteeism Trends, Planning vs. Full Implementers, 2004-5 to 2009-10
72% 76% 77% 78% 78% 69% 74% 79% 85% 86% 84% 63% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 Planning (1783-2662) Full Year (n=1350-2717) 46Cody and Osborn
100 200 300 400 500 600 700 800 9th grade Year 1 10th grade Year 2 9th Grade 2009-10 10th Grade 2010-11 The sophomore class at Cody’s and Osborn’s small schools is 103% the sizeNow for the lessons.
48Time is not
Knowledge does not
create change by itself, AND the power of knowledge can be a friend and enemy.
Relationships matter, and trust is needed.
51[Global] + Local matters.
Aggregated visuals matter.
53Current EWI Report Summary
54Districts Statewide
57Less is more.
58