Good Morning Inver Grove Heights Year Two: Leading For Excellence.
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Transcript of Good Morning Inver Grove Heights Year Two: Leading For Excellence.
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Good Morning Inver Grove HeightsYear Two: Leading For Excellence
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Welcome your Facilitators Candace Raskin Melissa Krull Barb Wilson
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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?
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Grounding
What did you do during opening workshop that reflects learning from last year’s institute?
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A Principal’s StoryListen for beliefs around leadership…
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So….
What are your beliefs as a school
leader?
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The Construction Process…
Mission Vision Beliefs
7
Behaviors
Results
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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…
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to behaviors
K-12 Administration
Beliefs to Behaviors
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Beliefs + Behaviors =ResultsShare at your table behaviors that you personally display that align with your beliefs.
How do these behaviors impact results?
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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
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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
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What is your current data protocol?Create an overview...
Elementary current protocol - Secondary current protocol
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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?
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Step OnePredictions and Assumptions Activate interest and bring out prior
knowledge, preconceptions, and assumptions
Sentence starters I predict I expect to see I anticipate
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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
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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?
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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.
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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.
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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?”
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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…
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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?
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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
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Take a look at your own data… Step One - Assumptions Step Two – Trends and Facts Step Three – Causes Step Four – Action Plan
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Sharing
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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
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Next Time Susan Huff
Topics you want covered
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Wrap up and next steps… Complete a Data Dialogue in your
building. Bring back Step 4 – Action Plan next
time we meet.