1. Presentation to DLT Copper Stoll Sept 16, 2010

2. Data Walls  Assessment is the first step in an effective teaching-learning cycle:  Assessment is the key to effective teaching and learning.  Evaluating the assessment results reveals the information needed to plan for instruction. Assessing EvaluatingPlanningLearning Teaching

3. Using Data..  …the next issue is that of using the data so that instruction is characterized by precision and teaching is focused on the learning needs of each student. There is no value in assessing students if it does not impact learning and instruction. Fullan, Hill & Crevola, 2006

4. Have staff read Doug Reeves’ article  Guidelines for Data Walls or “The Science Fair for Grownups”  Data Walls: A success story  Guiding question: Why would data walls be a useful tool in our system? Text-based discussion: Read silently and with guiding question in mind, discuss in groups of 4- 5.

5. Data Walls  At the school level, data walls are an effective visual tool for representing student assessment data across the organization (classroom, school, district).  It shows the results of interventions you have used to increase student achievement.  Structure for the DAAC/BOE review October 19, 2010

6. youtube videos–Elementary & Secondary Data Walls  http://www.youtube.com/watch?v=IljU6sNd8 bI http://www.youtube.com/watch?v=IljU6sNd8 bI

7. Data Walls  In a professional learning community, data analysis encourages collaboration and discussion among members of a school and across schools. Data analysis is an evolving, collegial event, not an isolated activity.

8. Continuum of Collegiality derived from Judith Warren-Little Undermines Sharing of Work Ostrich: Sticks Head in the Sand Aiding & Assisting True Sharing Leadership Role in Sharing Scanning & Storytelling Joint Work

9. Benefits of School Data Walls  Encourages ownership  Influences choices in instructional strategies  Promotes a wider repertoire of instructional strategies  Builds collaboration through a team approach  Allows school teams to target sets of students for the school, for the performance level, for small groups, and/or individual students

10. What would be the KPI data we would want to track school-wide?  Turn to a partner and list kinds of data that would help to raise achievement  How often should you track the data?  Pair up with another twosome and compare ideas  Share out with large group

11. Benefits of Classroom Data Walls…  Communication tool  Useful in establishing guided reading groups (running record data wall)  Quickly establishes those students who require additional assistance (intervention)  Useful for tracking comprehension skills (Reaching Readers data wall)  Supports budget decisions  Supports capacity building  Data walls influence decision-making

12. What data would we want to track at the classroom level? Trios protocol:  Find two different people to become a trio. Each person gets one minute to list the kinds of classroom data that would help to raise achievement  How often should you track the data?

13. An Effective Data Wall contains...  The name of your school or class in the title  Problem  Intervention  Effect  Conclusion P I E C *

14. Data Walls should look like… Privacy-Students’ names  Spot with no access for students and/or parents  Specific student’s data from a group can fit  Updated regularly General Data-No names  In a public spot  All students’ data are recorded on the board  Updated regularly

15. One method to create School-wide Data Wall components:  Problem  External data, such as test scores  Internal data, district/classroom testing data  Interventions  Teacher  Student  Effects/Evidence  Conclusions (Drawn from the results)

16. AVague but Effective Classroom/School Data Wall Intervention We’re doing this intervention to help improve scores. Effect Here is how this intervention is working. The data shows how scores have changed over the last 4 months since afterschool tutoring began. Conclusion Based on the data, I conclude that Afterschool tutoring is/ is not helping boost test scores. Problem Test scores have decreased 10 percent over the last 4 years. Intervention: AFTERSCHOOL TUTORING Summary of what you’re doing, who you’re tutoring blah blah blah blah blah hopefully you use an intervention that has some kind of scientific basis and discuss this blah blah and more blah. Improving Student Test Scores Mr. Smith’s 10 th Grade Academic Class at Grasso Tech

17. Intervention We’re doing this intervention to help improve scores. Effect Here is how this intervention is working. The data shows how scores have changed over the last 4 months since afterschool tutoring began. Conclusion Based on the data, I conclude that Afterschool tutoring is/ is not helping boost test scores. Problem Test scores have decreased 10 percent over the last 4 years. Intervention: AFTERSCHOOL TUTORING Summary of what you’re doing, who you’re tutoring blah blah blah blah hopefully you use an intervention that has some kind of scientific basis and blah blah and more blah. P Improving Student Test Scores Mr. Smith’s 10 th Grade Academic Class at Grasso Tech IEC P * An Effective Classroom/School Data Wall

18. Ineffective Examples of Ineffective data walls… Pros: Name of school Data Progress Attractive Cons: No stated problem No analysis of data

19. Ineffective Examples of Ineffective data walls… Pros: Has name of school Pictures Data Cons: No problem No intervention No effect No conclusion

20. Discussion starters: Think about making your own data wall:  What is hopeful about this data?  Who are the students we need to target for additional support/acceleration/intervention?  What are the learning expectations in language arts we must address with greater precision?  What instructional strategies will assist us in improving student achievement?

21. Analyzing Data Walls- Data Driven Dialogue Explore Plan of Action Predict Explain

22. Using Data Walls… Educators say: “We can learn more and faster together than separately”. Data walls ensure that teams work on improvement using the data.

23. Workshop to make your own data wall and CDE plan?  Call Learning Services Directors for help  Copper will be back on Sept 29-30 if you want help  You will be expected to complete 3 data walls for reading, writing and math aligned with your Major Improvement Strategies for the DAAC/BOE review on October 19th.  Be sure to focus on improving growth, status and gaps if you have them.

24. Colorado Unified School Improvement Plan Template  Section I: Summary Information about the School  Student Performance Measures for State and ESEA Accountability (Status, Growth, Gaps, PWR)  Accountability Status and Requirements for Improvement Plan (CDE Plan Designation)  ESEA Accountability (Title I)  Section II: Improvement Plan Information  Comprehensive Review and Selected Grant History  School Contact Information  Section III: Narrative on Data Analysis & Root Cause Identification  Gather and Organize Relevant Data  Analyze Trends in the Data and Identify Priority Needs  Root Cause Analysis  Create the Data Narrative

25.  Section IV: Action Plan(s)  School Goals Worksheet  AYP, Status, Growth, Gaps, PWR  CELA, Scantron, DIBELS, other  Action Planning Worksheet (Major Improvement Strategies)  School-based planning and monitoring tools  Formal Process  Three Week Data Cycle  Flexible  Formative Description of Action Steps to Implement the Major Improvement Strategy Timeline Key Personnel* Resources (Amount and Source: federal, state, and/or local) Implementation Benchmarks

26. PLC Questions  What do you want learners to know and be able to do?  How will you know they know it?  What do you do when they don’t ?  What do you do when they already know it?

27. Tenets of a PLC?  Focus on Learning  Collaborative Culture  Collective Inquiry  Action Oriented  Commitment to continuous Improvement and Results