Data for Student Success MASA Fall Conference September 25, 2007

1. Data for Student Success MASA Fall Conference September 25, 2007 “It is about focusing on building a culture of quality data through professional development and web based dynamic inquiries for school improvement.”

2. Introduction to the Grant • Federal Title II Part D of the NCLB Act of 2001 Enhancing Education through Technology Grant • Awarded to Calhoun ISD, Macomb ISD and Shiawassee RESD • Year 1 (January 1 – September 30, 2007) • 3 year grant

3. What Has Happened Until Now? • Local districts report to State through SRSD, REP, etc. • District/building seldom sees this data, so quality/purpose/importance of data is unclear to the district/building • Data-based decision making to inform school improvement, a key to increasing student achievement, requires separate, labor intensive effort

4. Goals of Data for Student Success • Build and bring to scale a program that helps schools develop cultures of quality data in which there are consistent and sustained efforts to: • Focus on existing data that give insight into specific school improvement questions • Validate data provided to the State and used to support school improvement decisions • Identify critical questions whose answers would benefit school districts in decision making to inform instruction • Provide inquiries designed around the critical questions • Provide focused professional development on data-based decision making

5. Year 1 Foci • Local Data Initiatives • Making connections to local data warehouses • Local Professional Development • Materials and approach development • Proving ground for scaling up • Electronic Tutorials • Dynamic Inquiries • Putting longitudinal State data to work - SRSD, REP, SCM, MEAP, MI-Access

6. Professional Development Aligned to School Improvement Framework • PD Addresses Teaching for Learning, Leadership, Personnel and Professional Learning, School and Community Relations and Data and Information Management • Four Workshops: • Using State Data to Identify School Improvement Goals • Using School data to Clarify and Address the Problem • Examining Student Work to Inform Instruction • Using Classroom Data to Monitor Student Progress

7. Electronic Tutorial Development • Electronic Tutorials will be available for each Dynamic Inquiry to assist with educating users about the graphs and how to interpret the represented data • Example: http://hillcrestandmain.com/MI/meap.html • Tutorials will be available within the Dynamic Inquiry tool and at the DATA 4SS website. www.data4ss.org

8. Dynamic Inquiry Tool • Interactive inquiries that allow a user to drill down into their student data • 6 inquiries based on essential questions aligned with the school improvement process: • MEAP Proficiency • Students Near Proficiency • Cohort Proficiency • Student History (Electronic CA60) • Administrative Data Quality • Comparative Item Analysis

9. Year 2 Foci • Scaling Up • Addition of Jackson County ISD and Gratiot-Isabella ISD • Local Professional Development • Refine materials and approach • Extending reach of project to neighboring ISDs • Proving ground for scaling up • Electronic Tutorials • Dynamic Inquiries • Development of Predictive Inquiries • Refine and extend current inquiries • Working group to expand offering

10. Project Contacts • Becky Rocho - Calhoun ISD • rochob@calhounisd.org • Andrew Henry - Red Cedar Solutions Group • andrew.henry@redcedarsolutionsgroup.com