1. Data Conferencing for Administrators

2. Objectives Discuss the role of the administrator as a data leader. Understand the roles that different types of data play in understanding students. Look at examples of Pre-built Reports to guide data conferences.

3. What is a Data Leader? Understands data Approaches data in an unthreatening manner Helps to promote a data driven culture

5. How can data help administrators better understand what is happening in their building? Overall MEAP/MME picture Trends in your building Strand and standard level data Individual student data District created exams

6. State Level Data What information are you communicating? What are you indentifying on the district or building level? How does this guide the rest of the data gathering process?

8. MEAP/MME Percent Proficient Report Allows administrator to get an overall look at MEAP/MME scores in a district/building/school. Allows administrator to compare teacher scores to look for trends.

9. MEAP Report Displays scaled scores and cut scores for each student to determine students close to proficiency. Allows administrator to direct interventions to students who might need additional instruction.

10. MEAP Pivot Table Allows administrator to identify students who have gained or declined over two years of MEAP. Enables administrators to identify students who are not showing a full year of academic growth.

11. MEAP Strand and GLCE Analysis Report Allows teachers to look at strand and/or GLCE level data for areas of weakness. Instruction can then be focused on those particular students in their indentified areas of concern.

12. Locally created exams Who is collecting it? How is it being collected? Is it being used to change classroom instruction?

13. Pre vs. Post Test data What is the difference? Are they assessed in a different way? Can they be the same?

14. Pre tests Can test skills students should have mastered before they begin class or unit. Can test skills students should have mastered at the end of the class or unit. How can analyzing this data change the curriculum?

15. Post test Tests what students should have mastered at the end of the class or unit. How can analyzing this data change the curriculum?

17. Data conferences Who are you having these discussions with? What is the purpose of the conference? What is the expected action? What is the follow-up?

18. Conclusions Be active in every part of the process. Create a data team to lead the process. Have a plan. Be flexible.

19. Questions?