# data[].attributes.body
What are our programs at LLA? Do we have data to assess how effective our programs are?

# data[].attributes.body
How is our adult behavior affecting our school culture? What is our school culture at LLA?

# data[].attributes.headline
How Professionals learn: new learning, relearning and unlearning. Where are we in our learning process?

# data[].attributes.subject
How Professionals learn: new learning, relearning and unlearning. Where are we in our learning process?

# data[].attributes.body
1. Input vs power - how do we tell our story?
2. Tell teachers the whole picture: we are working toward being a highly reliable school. Give them the context of the whole picture. New time, resources, and encouragement
3. Sigmoid curve
4. Know PLC purpose and how do we continue adjusting it to achieve your purposes.
5. We are looking to work on levels 1-3, we’ll discuss 4 and 5 later. Shows them the plan. Have team of teachers present that to everyone. Consider cross division team presenting, or names in presentations.
6. Get the teachers together as a team, put together the same presentation, then by division. Some slides customized for each division.
7. Picture of morning session showing the size of the program.
8. How will we communicate effective teaching in every classroom without making teachers feel that they aren’t good teachers?
9. Create a timeline for implementation

# data[].attributes.headline
How do we appropriately acknowledge the success of the whole school as well as individuals within the school?

# data[].attributes.subject
How do we appropriately acknowledge the success of the whole school as well as individuals within the school?

# data[].attributes.body
What you celebrate will get replicated!

# data[].attributes.body
How do we share our processes? I.e. school that posted their pickup process on their website.

# data[].attributes.headline
We keep all the blueberries: What does that mean to us?

# data[].attributes.subject
We keep all the blueberries: What does that mean to us?

# data[].attributes.body
Revisit our programs, collect quick data, look at our data, revise if necessary, and, most importantly, commit.