Good Morning Inver Grove HeightsYear Two: Leading For Excellence

Welcome your Facilitators Candace Raskin Melissa Krull Barb Wilson

Let’s learn more about the Inver Grove Heights Team...

Pair up with someone.Interview them…

Who are you?Why are you a principal or school leader?

What inspires you to lead?What stops you, if anything, from achieving the strongest results for every student?

 

Grounding

What did you do during opening workshop that reflects learning from last year’s institute?

A Principal’s StoryListen for beliefs around leadership…

So….

What are your beliefs as a school

leader?

The Construction Process…

Mission Vision Beliefs

7

Behaviors

Results

If we believe every leader in this institute can and will generate better achievement results than they currently have…

Then every leader is held accountable with high expectations and equal access to all opportunities…

to behaviors

K-12 Administration

Beliefs to Behaviors

Beliefs + Behaviors =ResultsShare at your table behaviors that you personally display that align with your beliefs.

How do these behaviors impact results?

Data is relevant to organizational success Any enterprise CEO really ought to be

able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together. Tim Berners Lee

Data is relevant to school success Any school leader really ought to be

able to ask a question that involves connecting data across the organization, be able to run a school effectively, and especially to be able to respond to unexpected events. Most schools/districts are missing this ability to connect all the data together. Tim Berners Lee - modified

What is your current data protocol?Create an overview...

Elementary current protocol - Secondary current protocol

Data-Driven Dialogue

Predictions and Assumptions

ActivatingEngaging

Exploration/ObservationMake fact statementsUse multiple sources

What do we think we see?

Explanation/CausationID testable explanations

Confirm with dataWhy?

Taking ActionGenerate solutionsUse Data to guide implementation

What are we going to do about it?

Step OnePredictions and Assumptions Activate interest and bring out prior

knowledge, preconceptions, and assumptions

Sentence starters I predict I expect to see I anticipate

Step TwoExplore Generate observations about

performance that reflect the best thinking of the group.

Sentence Starters It appears The data show I see that It seems

Step ThreeExplain – Root Cause Analysis Generate theories of causation, keeping

multiple voices in the dialogue. Deepen thinking to get to root causes.

Guiding questions What explains our observations What might have caused the patterns we

see Is this our best thinking How can we narrow our explanations What additional data sources will we

explore to validate our explanations?

Step FourTake Action Identify solutions and prepare to take

action. Then identify what additional data will be gathered to determine if action steps are being implemented and having the intended effect.

Step FourTake Action Plan to take action

Develop performance targets Identify success indicators Identify major improvement strategies Describe associated action steps Identify implementation benchmarks

CAUTIONMake sure that there is a direct causal link between the goal you are trying to reach and the action steps you are taking.

Data Protocol: Simulation Apply the protocol to sample data Step One

Before getting the data ask“What do you expect to see in our achievement gap data?”

Data Protocol: Simulation Hand out sample data sheets Step Two

List facts about data. Identify trends. Prompts…

The data shows that… I see that… It seems…

Data Protocol: Simulation Dig into root causes Step Three

Select a priority fact or data trend to focus on. What explains this observation we have about

our data? What might have caused this trend? What additional data source can we explore to

understand this fact better?

Data Protocol: Simulation Create an action plan Step Four

Develop a performance target for the priority data fact/trend selected

Identify success indicators Identify improvement strategies Describe action steps needed to

implement Identify implementation benchmarks

Take a look at your own data… Step One - Assumptions Step Two – Trends and Facts Step Three – Causes Step Four – Action Plan

Sharing

Creating a District Data Protocol Return to your current data protocol Discuss elements of your current

practice that you want to keep. What steps do you need to add? Share in large group to create a district

data protocol

Next Time Susan Huff

Topics you want covered

Wrap up and next steps… Complete a Data Dialogue in your

building. Bring back Step 4 – Action Plan next

time we meet.