School Improvement Planning Leadership Council and Principal Meetings September/October 2010

Agenda School Improvement Plan with Populated Data School Improvement Planning Process Example Plans and Plan Criteria Performance Frameworks Data Analysis Root Cause Identification Target Setting Action Planning

Colorado Unified Planning Template for Schools Major Sections: I.Summary Information About the School II.Improvement Plan Information III.Narrative on Data Analysis and Root Cause Identification IV.Action Plan

School Improvement Planning Process

Timeline for School Accreditation and Plan Submission District Accountability Handbook p. 54

SVVSD Timeline for School Accreditation and Plan Submission Turnaround, Priority Improvement, Title 1 on Corrective Action –Dec. 1 – turn into Area Assistant Superintendent for review and feedback –Jan. 7 – with revisions completed turn into Area Assistant Superintendent –March 30 th – submit revisions from State Review Panel feedback to CDE (not Title 1 schools) Other Schools –March 1 st – to Area Assistant Superintendent –April 8 th – with revisions completed turn into Area Assistant Superintendent  All Plans must be reviewed by District Accountability/Accreditation Committee before submitting to CDE

Planning Terminology Appendix A: District Accountability Handbook, p. 23 Review each of the terms listed Terms: –Performance Indicator –Measure –Metric –Root Cause –Major Improvement Strategy –Action Step –Interim Measure –Implementation Benchmark

School Improvement Plan (SIP) Section I: Summary Information –Examine section 1 –Mark sections with a that you need more clarification on –Discuss with a partner… What data surprised you? What data are you most proud of? At initial glance, what is an area of weakness? Questions

School Improvement Plan (SIP) Section II: Improvement Plan Information –Additional Information about the School Most schools will not answer yes to any If you are not sure ask…(usually Regina) –Improvement Plan Information State Accountability (most schools) Plus Title 1A (some schools) If not sure ask…(Regina)

Section III. Narrative on Data Analysis and Root Cause Identification Step 1 – Gather and Organize Relevant Data Step 2 – Analyze Trends in the Data and Identify Priority Needs Step 3 – Root Cause Analysis Step 4 – Create the Data Narrative

Example Plans and Criteria Elementary/Middle School High School Discuss with a partner: –How is this the same as previous goal setting in our District? –How is it different?

Performance Indicators, Measures, Metrics and Example Targets Please read a couple of the examples. Plan Criteria

Section III, Step 1: Gather and Organize Data Read Step One on p. 4 of the plan Make a list of data your school has available for school improvement planning What questions can your data answer?

Gather and Organize Data Required reports: –School Performance Framework –Growth Summary Report –AYP Summaries –Post Secondary Readiness Data Recommended: the use of more sources of data (elementary should definitely consider primary data like PALS) Must consider at least three years of data

Data Sources in our District Schoolview.org – reports listed in previous slide Alpine Achievement – –Colorado Assessments - CSAP, CSAPA, CO-ACT, Colorado Growth Model, CELA, AYP Report –Data Warehouse – PALS, AP, DIBELS, and many more (soon to come – Galileo, Theme Tests, SRI) –Plans – Literacy, RtI, ALP (soon – 504) Infinite Campus

Section III, Step 2 Analyze Trends in the Data and Identify Priority Needs Data Driven Dialogue  Step 1 – Predict (Activate & Engage)  Step 2 – Explore (Explore & Discover)  Step 3 – Explain (Organize & Integrate)  Step 4 – Take Action

Step One: Predict (Data Driven Dialogue) The purpose: To activate interest and bring out our prior knowledge, preconceptions, and assumptions regarding the data with which we are about to work. Prediction allows dialogue participants to share the frame of reference through which they view the world and lays the foundation for collaborative inquiry. The steps include: 1.Clarify the questions that can be answered by the data 2.Make predictions about data 3.Identify assumptions behind each prediction Prediction Sentence Starters: I predict...I expect to see...I anticipate... Assumption Questions: Why did I make that prediction? What is the thinking behind my prediction? What do I know that leads me to make that prediction? What experiences do I have that are consistent with my prediction?

Step One (Chart Paper) (Data Driven Dialogue) PredictionsAssumptions

Step One: Predict – Hints (Data Driven Dialogue) Predictions may go fairly quickly at this point because staff members have already seen some of the data Develop assumptions concurrently Groups do not need to agree upon these Give groups a mostly blank data table to help with predictions (so they have some idea of what data they are predicting)

100 0 OverallGrade 4Grade 5BoysGirlsFRLNonFRLELLnonELLIEPnonIEP CSAP Growth Percentile

Step Two: Explore (Data Driven Dialogue) The purpose: Generate priority observations or fact statements about the data that reflect the best thinking of the group. The steps include: 1.Interact with the data (highlighting, creating graphical representations, reorganizing) 2.Look for patterns, trends, things that pop out 3.Brainstorm a list of facts (observations) 4.Prioritize observations 5.Turn observations into priority needs Avoid: Statements that use the word “because” or that attempt to identify the causes of data trends. Sentence starters: It appears... I see that... It seems...The data shows...

Step 2: Explore - Hints (Data Driven Dialogue) It is very important to take the time to really explore the data…remind people to not jump to “because” or “action steps” and to really look at what the data is telling them Give people one piece of data at a time Refine Observations: –In math 58% of 5 th graders were proficient or advanced compared to 52% of 4 th graders. –The ELL population increased from 10% last year to 30% this year.

UIP - Section III, Step 2: Analyze Trends in the Data and Identify Priority Needs Read this section on p. 4 Identify areas of strength Identify areas of need Prioritize needs ***the first two columns (trends and priority needs) of the data analysis worksheet on p. 5 can now be filled out

How good is good enough? State Performance Indicators: –School and District Performance Frameworks –State expectations defined for each performance indicator Federal Performance Indicators: –Annual AYP Targets –See, “AYP Proficiency Targets and Safe Harbor”

Trends and Priority Needs Trends must include at least 3 years of data. Priority needs must be identified for at least every performance indicator for which school performance did not meet state or federal expectations: –Achievement –Growth –Growth Gaps –Post Secondary/Workforce Readiness)

Step Three: Explain (Data Driven Dialogue) The Purpose: Generate theories of causation, keeping multiple voices in the dialogue. Deepen thinking to get to the best explanations and identify additional data to use to validate the best theories. The steps include: 1.Generate questions about observations 2.Brainstorm explanations 3.Categorize/classify brainstormed explanations 4.Narrow (based on criteria) 5.Prioritize 6.Get to root causes 7.Validate with other data Guiding Questions: What explains our observations about out data? What might have caused the patterns we see in the data? Is this our best thinking? How can we narrow our explanations? What additional data sources will we explore to validate our explanation?

Step 3: Explain – Hints (Data Driven Dialogue) Help groups stay open to multiple interpretations of why…develop multiple theories of causation Separate the generation of theories of causation from theories of action (do not go to action steps in this step)

UIP Section III, Step 3 Root Cause Analysis A cause is a “root cause” if: 1.The problem would not have occurred if the cause had not been present 2.The problem will not reoccur if the cause is dissolved 3.Correction of the cause will not lead to the same or similar problems ***the school should have control over the root cause

Steps in Root Cause Analysis 1.Generating explanations (brainstorm) 2.Categorize/classify explanations 3.Narrow (eliminate explanations over which you have no control) 4.Prioritize 5.Get to root cause 6.Validate with other data

Non-examples of Root Cause Student attributes (poverty level) Student motivation Brainstorm a few ideas with your table team of explanations that might appear to be root causes but don’t qualify

Root Cause Examples The school does not provide additional support/interventions for students performing at the unsatisfactory level Lack of clear expectations for tier 1 instruction in math. Lack of intervention tools and strategies for math. Limited English language development. Inconsistency in instruction in the area of language development. Low expectations for all subgroups. Low expectations for IEP students.

Five Why’s (Explanation) 1.Why? Because: 2.Why? Because: 3.Why? Because: 4. Why? Because: 5.Why? Because:

5 Why Example ELL students are not engaged in learning in the core content classes. Why? Because… –Core curriculum is not accessible to ELL students. Why? Because… –ELL students’ English skills are not proficient enough to participate in discussions, ask questions, and comprehend core content. Why? Because… –There is inconsistent English language support for students in core content classes. Why? Because… –Lack of implementation of INSIDE and EDGE ELL curriculum as parallel support for ELL students in core content classes.

Work At Your School So Far Share in table groups the work you have done with your school staff and/or school accountability committee so far –What has been your process? –What is your next step?

UIP Section III, Step 3 Data Analysis Worksheet Read about the Data Analysis Worksheet and look at the chart on p. 5. Once the Data Driven Dialogue has been finished through Step 3: Explain, then the Data Analysis Worksheet can be completed

UIP Section III, Step 4 Data Narrative Read about the Data Narrative and read the two examples provided. Read the Unified Improvement Plan Quality Criteria document Section III. Discuss at table: –What parts of the plan so far do you see as your strength area to write? –What parts do you feel will be more challenging?

Step Four: Take Action (Data Driven Dialogue) The Purpose: Prepare to take action based on the data. The critical steps include: 1.Change “observations”/problem statements into goals 2.State the goals as SMART Goals 3.Determine what will indicate that the problem has been solved or the goal(s) have been met. 4.Identify strategies and action steps that will eliminate or correct the “root cause(s)” of the problem 5.Identify what data to track over time to determine if action steps are having the desired effect Cautions Make sure that there is a direct causal link between the goal or solution and the action steps that are being taken. Clearly define what success looks like and measure it. Don’t be afraid to change course if action steps are not having the desired effect.

Step 4 - Hints (Data Driven Dialogue) Action plan must be able to eliminate the root cause Action steps must be within the power of the group to implement (budget, capacity, etc.) Action plan should be a commitment to action by the group

UIP Section IV: Action Plan School Goals Worksheet Need to set targets for every performance indicator where the school failed to meet state expectations. –Achievement –Growth –Growth Gaps –Post Secondary/Workforce Readiness Do NOT need to set targets for every line

UIP Section IV: Action Plan Read UIP Quality Criteria: Section IV –Code the Text: ! Surprises you Affirms what you already know ? A question you have Discuss in table groups

UIP Section IV: Action Plan Annual Targets %53%58%63%68%73% %65%69%73% Meet Goals in 3 Years Meet Goals in 5 Years CDE is preparing a document to guide appropriate goal setting.

UIP Section IV: Action Plan Action Plan Worksheet Read the two of the examples of Action Plans Discuss at tables: –How is this similar to our previous action plans? –How is this plan different?

School Improvement Planning You now have the tools, processes, and resources to complete your school improvement plan. Please feel free to ask questions when you need clarification. Remember you have support, please call and ask for what you need. Discussions are in progress for how to provide smaller group support.

SVVSD Timeline for School Accreditation and Plan Submission Turnaround, Priority Improvement, Title 1 on Corrective Action –Dec. 1 – turn into Area Assistant Superintendent for review and feedback –Jan. 7 – with revisions completed turn into Area Assistant Superintendent –March 30 th – submit revisions from State Review Panel feedback to CDE (not Title 1 schools) Other Schools –March 1 st – to Area Assistant Superintendent –April 8 th – with revisions completed turn into Area Assistant Superintendent  All Plans must be reviewed by District Accountability/Accreditation Committee before submitting to CDE

Next Steps Before the November Leadership Council: –Lead staff (and possibly School Accountability Committee) though data driven dialogue (Steps 1-4, through action planning) –Complete a rough draft of your School Improvement Plan At the November Leadership Council we will share our plans in small groups

Support Area Assistant Superintendents - Amy Weed and Mark Mills Connie Syferd, Regina Renaldi, and Tori Teague improvement-planning/ Learning Center → Unified Improvement Planning