# data[].attributes.body
As you drive this PD and this focus on collaboration, how will you gauge the effectiveness? Will you do some sort of ‘pre assessment’ for where the staff is now, and then gauge again at the end of the year?

# data[].attributes.headline
If I was a student at Clinton High School, doing all that I am asked, then I would be expected to: 

# data[].attributes.subject
If I was a student at Clinton High School, doing all that I am asked, then I would be expected to: 

# data[].attributes.body
think about how my learning is applied to real-life through the tasks I am completing.

be able to work collaboratively with other students to create a product or perform a task.

be able to take skills I have learned previously and apply them to individual tasks.

be expected to be cognizant of my learning targets for tasks I am working on.

perform tasks that are at (or above) a DOK level of the learning target.

use technology to help create a product or carry out a task.

# data[].attributes.body
2/5 had students working on independent practice

# data[].attributes.body
3/5 had students working on collaborative tasks

# data[].attributes.body
5/5 had DOK of task match or was higher than Learning Target DOK

# data[].attributes.body
4/5 were real-life skills practiced with task

# data[].attributes.body
5/5 learning targets posted

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Teacher speaks with students individually about tasks for what they are doing in class - has one group working on safety test corrections; other group working on procedure task

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Teacher circulated to answer questions. Teacher clarified a type of pan that some students had.

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Teacher told students where to find the process slide deck if they needed it and circulated the room and answered questions. Kept time for students.

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
The teacher is helping students with vocabulary terms (allies vs. alliances) and guiding students with resources for research

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Teacher was answering questions, helping with proper technique, and encouraging/supporting students

# data[].attributes.headline
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Students are researching ideas for cheesecake

# data[].attributes.headline
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Students are measuring and cutting wood

# data[].attributes.headline
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Students were creating digital silhouettes using Photoshop

# data[].attributes.headline
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
Students were researching causes of WWI on laptops in groups

# data[].attributes.headline
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Gabel Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.body
(Click box and place inside.)

# data[].attributes.headline
Sticky Note Observations (Independent): Things to think about as you are identifying your top things to share: 

# data[].attributes.subject
Sticky Note Observations (Independent): Things to think about as you are identifying your top things to share: 

# data[].attributes.body
- What parts of this data catch your attention? Just the facts.
- What does the data tell us?
- What does the data not tell us?

# data[].attributes.headline
If I was a student at Clinton High School, doing all that I am asked, then I would be expected to: (Click box and place inside.)

# data[].attributes.subject
If I was a student at Clinton High School, doing all that I am asked, then I would be expected to: (Click box and place inside.)

# data[].attributes.body
Team 1 Response:

# data[].attributes.body
- After working through your own observations of what the data told you, what patterns do you see?
- What good news can we celebrate?

# data[].attributes.headline
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 

# data[].attributes.subject
Leafgreen Observations (Click the + in the bottom right corner for each new note.) 