Lessons Learned From Using Data Teams In Schools

1. Lessons Learned From Using Data Teams In Schools

2. Lessons Learned From Using Data Teams In Schools Presented By Area 1 ALTs

3. Meet and Mingle • How is your school currently using data teams? • How is your school implementing the RTI process? • Has your school made a connection between data teams and RTI process?

4. Lessons Learned From Using Data Teams In Schools Tier III Intensive Intervention Persistent Difficulties Tier II Strategic Intervention At-Risk/Struggling Students Part of Data Team Process Tier I Core Instruction All Students

5. Lessons Learned From Using Data Teams In Schools • A 5 step process of collecting and analyzing data, setting goals, designing strategies, and developing results indicators from a common assessment • Small grade-level teams that examine individual student work generated from common formative assessments • Collaborative, structured, scheduled meetings that focus on the effectiveness of teaching and learning

6. Lessons Learned From Using Data Teams In Schools • Culture of collaboration • Data collection process • Instructional impact • Organizational structure The process of using data team meetings to make decisions about children demands a school-wide…

7. Lessons Learned From Using Data Teams In Schools In order for data team meetings to be effective and efficient… • All members should have student data with at-risk students identified • Data team members need to be prepared to collaboratively discuss instructional strategies and student performance

8. Students Needing Support TEACHER: Chadwick Grade: 2nd Date: August 14, 2008 • NOTE: Highlight in yellow names of students with attendance issues. • Essential questions to ask regarding students who are not performing on grade level: • WHO are our students? • HOW are they identified? • WHAT is our plan to get these students to grade level performance? • HOW are we going to monitor progress through the year? • HOW will we communicate our plan to our community? • HOW are we using our entire staff to make this plan successful? • WHAT next? • WHAT is in our SIP to address the subgroups and / or areas where our school failed / struggles to meet AYP goals?

9. Lessons Learned From Using Data Teams In Schools In order for data team meetings to be effective and efficient they must… • Step 1 • Organize and Chart Data • Gather data from common formative assessment • Determine proficiency levels

10. Data Team Agenda-Before Instruction Collaboration • Data Team: 2nd Grade Date of Meeting: August 18, 2008 • Members Present: All second grade teachers • Data-Sharing effect data that is a result of a common formative assessment-This step occurs before instruction has taken place. Calibration or degree of difficulty is on grade level.

11. Lessons Learned From Using Data Teams In Schools • Step 2- Analyze the Data • Identify strengths and weakness of proficient and non-proficient students • Step 3- Set Goal • Includes all students in grade level

12. II. Analyze Data – Examination of actual student work on the assessment for the purpose of identifying strengths as well as obstacles/challenges/misconceptions. This is only done by really looking at student work beyond the surface level. III. Set SMART Goal(s) – This is the time to set a goal. As a result of the pre-assessment and the resulting step 1, we already know our current reality. We revisit the Step 1 information and in addition to filling out the blanks, we must generate a number that will serve as our goal or desired outcome. It is the desired end of instructional time % proficient which is compared to current reality in the statements below. Goal #1: The % of 2nd grade students scoring at proficiency or higher in adding 2-digit numbers will increase from 20% to 78% as measured by “Regrouping Quiz” administered on September 12, 2008.

13. Lessons Learned From Using Data Teams In Schools Step 4- Instructional Strategies • Determine Instructional Strategies (1-2 strategies) • Implement strategies for all students for a specified amount of time • Implement strategies for at risk students for up to 6 weeks

14. IV. Instructional Strategies – What will WE do so OUR students will meet the goal(s) set in the previous step? What do WE need to consider in order to have a clear and cohesive teaching plan? What 1-2 strategies will our team foucs on during instruction? What types of “checks along the way” will we use to measure growth toward our goal?

15. Lessons Learned From Using Data Teams In Schools • Step 5- Results Indicator • What do you expect to see (from all students) as a result of the implementation of the strategies identified? • What do you expect to see from the at-risk students as a result of the implementation of strategies identified? • How will we know that the strategies are working? What are the look-fors or the evidence you expect to see from students as a result of your instruction? What are the students who are proficient able to dosuccessfully?

16. V. Results Indicators/Is it working? • Describe the explicit behaviors you expect to see as a result of the implementation of the strategies identified in the previous step (all students). Will our identified strategies actually fit the learning need/situation? • What do you expect to see from the at-risk students as a result of the implementation of strategies identified? • How will we know that the strategies are working? What are the look-fors or the evidence you expect to see from students as a result of your instruction? What are the students who are proficient able to do successfully?

17. Lessons Learned From Using Data Teams In Schools In order for data team meetings to be effective and efficient they must… • Plan for potential intervention groups • Plan for on-going communication • Teach agreed upon strategies

18. Analyzing the Post Data • What do the results indicate from the post-data? • Were the strategies successful? • How did the at-risk students perform? • Who may need to continue on in the RTI process?

19. Data Team Agenda-After Instruction Collaboration • Data Team: 2nd Grade Team Date of Meeting: September 17, 2008 • Members Present: All second grade teachers • Data-Sharing effect data that is a result of a common formative assessment-This step occurs before instruction has taken place. Calibration or degree of difficulty is on grade level.

20. Next Steps…… • Data team cycle continues for all students • Continue strategies with at-risk students for the duration of the 6 weeks • Collect work samples that illustrate implementation of strategies for those continuing in the RTI process

21. At the end of 6 weeks • Students unresponsive to instructional strategies are referred to Tier 2. • Follow school procedures for obtaining forms/documentation for Tier 2

22. Tier 2 • Use data of at-risk students for the following: • Administer common assessment and go through the 5 step data team process again with all students • At step 4, instruction should be more individualized and 1-3 strategies should be implemented for 6 weeks. Refer to the I2I strategies.

23. Tier 3 or Not? • If strategies are successful Tier 1 • If strategies are NOT successful Tier 3

24. Lessons Learned From Using Data Teams In Schools RTI can be conceptualized as consisting of three phases. • Determining whether effective instruction is in place • Providing effective instruction to the target student and measuring its effect on performance • Referring students whose RTI warrants additional or intensive continuing interventions Source: National Association of School Psychologists “RTI in the identification of Learning Disabilities: A Guide for School Teams” by Kovalski & Prasse

25. Table Talk How are data teams and the RTI process interrelated?

26. Lessons Learned From Using Data Teams In Schools • Our response is based on INTERVENTION rather than remediation. • Our response is SYSTEMATIC. • Our response is TIMELY. Ultimately…If data team meetings are effective and efficient we will know that… Richard & Rebecca Dufour, Whatever It Takes; How Professional Learning Communities Respond When Kids Don’t Learn

27. Lessons Learned From Using Data Teams In Schools Questions…