Data Teams in the PLC Cycle

1. Data Teams in the PLC Cycle Rapid City Area Schools August 12, 2013

2. Welcome to the 2013-2014 School year Dr. Mitchell

3. The Big Picture Katie Bray & Valarie Nefzgerhttp://todaysmeet.com/RCASPLC13

4. Learning Targets I know what an instructional roadmap is, and why we’re using the process. I know how to create and instructional roadmap. I know to use the steps of the data phase to improve student learning. I am familiar with the PLC Team Cycle.

5. Professional Learning Communities Rapid City Area Schools August 12, 2013

6. PLC Team and Data Team…Are they the same?

8. 1. Collect and Chart Data ONGOING: Monitor and Evaluate Results 5. Determine Results Indicators 2. Analyze Data and Prioritize Needs 4. Select Common Instructional Strategies 3. Set, Review, and Revise Incremental SMART Goals PLC Team Data Phase Douglas Reeves; Leadership and Learning Center, 2010

9. 4 Critical Questions What do we want the students to learn? (Roadmap Phase) How will we know if our students are learning? (Roadmap Phase;Data Phase; Post-Data Phase) How will we respond when students do not learn? (Data Phase; Post-Data Phase) How will we enrich and extend the learning for students who are proficient? (Data Phase)

10. PLC Team CycleInstructional Roadmap Phase

11. Instructional Roadmap Design Dave Swank Rapid City Area Schools August 12, 2013

12. Opportunityisnowhere

13. This morning… Part 2: Breakout Sessions Part 1: Whole Group Brief overview of: • Instructional roadmaps • Unit pacing guides • Roles of the district, team, and teacher Content-area sessions facilitated by content coordinators and teacher leaders, focusing on the work of creating instructional roadmaps. • Your team will need to split up so that at least one representative from your building attends each session.

14. Have you ever… Created a conceptual or thematic unit? (i.e., The Water Cycle, Romeo and Juliet, Fractions, The Civil War)

15. Have you ever… Unpacked standards into learning targets?

16. Have you ever… Established proficiency? (i.e., PLD)

17. Have you ever… Given a summative assessment? (i.e., End of unit test, speech, culminating project)

18. Have you ever… Written a common formative assessment?

19. Have you ever… Decided on a due date for a project or test?

20. Have you ever… Made decisions about the order in which to teach concepts?

21. Have you ever… Shared resources with your colleagues?

22. This is NOT NEW!

23. Critical Understanding #1 Unit Pacing Guides provide our guaranteed, viable curriculum. Instructional Roadmaps are rooted in the Unit Pacing Guides.

24. Unit Pacing Guides Outline the essential learning (priority/power standards) in a broad way Establish a consistent timeframe for instruction across buildings Are established at the district level

25. Critical Understanding #2 Instructional Roadmaps are the work of PLC teams.

26. Instructional Roadmaps Establish the context of the pacing guide at the team level. Consider the unique factors of each student and staff population Include an assessment plan Provide the “bridge” between the unit pacing guide and classroom instruction

27. Curriculum Design in a PLC

28. Critical Understanding #3 The process is “tight”; the format is “loose.”

29. Four stages Stage One: Determine the essential learning based on standards Stage Two: Determine what evidence to collect Stage Three: Calendar assessments and learning targets Stage Four: Increase teacher capacity

30. Example

31. Example

32. Critical Understanding #4 Individual teachers have the autonomy and flexibility to tailor the instruction in their classrooms.

33. Important to know This process will push many teachers outside of their comfort zone. This process is time-consuming, and it can’t be rushed. Don’t try to create a roadmap for the timeframe in which you’re currently teaching!

34. Facilitation Guides Detailed steps for each of the four stages of Instructional Roadmap Design Templates Protocols Examples

35. Breakout Sessions Elementary Math – Dakota Hall Secondary Math – Room #109 Elementary Literacy – Library Community Rm Secondary Literacy – Room #110 Science – Classroom A (don’t go anywhere!) Secondary Content – Room #111

36. Opportunityisnowhere

37. Opportunity is no where

38. Opportunity is now here

39. Lunch Break 11:00 – 12:30

40. Thus Far… NOW… What do we do with the data from the CFA? DATA PHASE We have learned more about the Instructional Roadmap Phase. We spent lots of time last year working with CFA’s. We know that the Instructional Roadmap will help us determine what CFA’s to administer and when to administer them.

41. Data Phase: The Big Picture PLC Teams…”are the single best way to help educators…move from drowning in data to using information to make better instructional decisions.” Reeves 2009

42. Data (PLC)Teams are a model for continuous, collaborative action that inspires and empowers professionals to improve teaching, learning, and leadership for all.Douglas Reeves, Leadership and Learning Center on Data Teams, 2010

43. Data Teams are small, grade-level, department, course-alike, or organizational teams that examine work generated from a common formative assessment. Douglas Reeves, Leadership and Learning Center on Data Teams, 2010

44. THE Presentation For each step in the data phase you will see… the why, what, and how. an example. a short video. the PLC team’s rubric for each step of the data phase.

45. 1. Collect and Chart Data: • Data teams gather and display data from the common formative assessment results. • 2. Analyze Data and Prioritize • Needs: • Data Teams identify the strengths and needs of student performance and then form inferences based on the data. • Data Teams also prioritize by focusing on the most urgent needs of the learners. • 5. Determine Results Indicators: • Data Teams determine the “Look For’s” in student work /behaviors as well as the Adult behaviors • Teacher Actions + Student Actions = Desired Impact ONGOING: Monitor and Evaluate Results • 4. Select CommonInstructional Strategies: • Teachers collaboratively identify research-based instructional strategies. (ex., Marzano’s 9 Research-Based Best Practices) • 3. Set, Review, and, Revise • IncrementalSMART Goals: • Teams collaboratively set Incremental goals that are reviewed and revised throughout the data cycle PLC Team Data Phase Douglas Reeves, Leadership and Learning Center on Data Teams, 2010

46. Step 1: Collect and Chart Data • Why? • Collecting and charting data allows you to recognize and accelerate all groups of learners. • What is it? • Disaggregation/organization of data into 4 groups: • Proficient and Higher • Close to Proficient • Far from Proficient • Intense Intervention • Teams may disaggregate data into additional groups (Free/Reduced; • Ethnic; Gender; etc.) if wanting information concerning patterns • and trends among subgroups. • How do we do it? • Score Common Formative Assessments (CFA) based on proficiency descriptors (PLD) with PLC team. • As a team, chart data (Chart paper, excel, word document) Reeves, 2010: Leadership and Learning Center Peery; Leadership and Learning Center, 2011

47. Examples: Charted Data Teacher 1 Teacher 2 Teacher 3

48. Example: Charting Data Using Excel Douglas Reeves; Leadership and Learning Center, 2010

49. Sartartia Middle School Video Clip: Step 1-Collecting Data Douglas Reeves; Leadership and Learning Center, 2010

50. Data Team Rubric: Collect-Chart Data Douglas Reeves; Leadership and Learning Center, 2010