# data[].attributes.body
I wonder if we could use what students say and write about their learning as part of our data collection

# data[].attributes.body
What are next steps to increase rigor from comprehension to analysis more often.

# data[].attributes.body
As staff members, we will continue using data for decision making concerning students' growth until we have met all the conditions that are conducive to learning

# data[].attributes.body
How do we address the significant difference between the level of the learning target and the level of student evidence?

# data[].attributes.body
The lowest scores also demonstrate the most growth. What about the conditions for learning that seem to have plateaued at 6.8? How do we improve there and keep the score going up?

# data[].attributes.body
How can students monitor their own learning in the different subjects?

# data[].attributes.body
If we want to have a deep reflection, 5 or 10 minutes to look at each slide and come with ideas is not enough. We should have a conversation in our Grade Level Meeting and discuss what can we do to improve.

The first thing that come in my mind is to track student's performance.. so that might be a conversation with our grade level teachers.

# data[].attributes.body
*Continue analyzing data which will help to improve our results.

*A training for teachers in which we can cover the different components of a rigor walk within the 10 minutes it lasts.

# data[].attributes.body
Based on this data, How can we improve?

-Taking small steps in your classroom

-students monitoring students

-setting goals (students)

# data[].attributes.body
2nd Grade: We have noticed that our data has improved from last year. Activating Student Teams and Verify Learning has improved throughout the year. What do we need to do to improve in the areas that have had the same score or have not improved?

# data[].attributes.body
How do we explicitly teach students to monitor their own learning and support one another to make progress in their learning?

# data[].attributes.body
I wonder what skills students are lacking to increase the lowest scores, despite the fact that they improved.

# data[].attributes.body
There's consistency in the results. It's a good way to evaluate.

# data[].attributes.body
I noticed that standards based student evidence had a significant increase compared to the others.

# data[].attributes.body
I wonder why student teams and verifying learning are the lowest pillars out of the 5? What do we need to do to improve that

# data[].attributes.body
The conditions scores are higher than last year, but they stayed consistent throughout this year.

# data[].attributes.attachment_caption
So happy to see our hard work is paying off.  Improvements can still be made, but we are headed in the right direction!

# data[].attributes.body
How can the conditions for learning rigorous standards increased? We started at 6.8 and remained at 6.8. What else can we do to aim higher at this pillar.

# data[].attributes.body
The data shows teacher growth in most areas, reflecting a strong accountability for student learning.

# data[].attributes.body
Activating student teaming to achieve standards has significantly increased and improved. At the same time, we have consistently maintained rigor in learning standards. The data shows growth and improvement since our first year as a rigor-focused school.

# data[].attributes.body
We are demonstrating growth across the board, and not the opposite. That is excellent.

# data[].attributes.body
I noticed the increase in teaming among students.

# data[].attributes.body
Standards-based student evidence has the biggest growth.

# data[].attributes.body
Overall progress across the board from last year! A goal of the school's could be to increase how often students are monitoring their progress

# data[].attributes.body
There is grow in all the pillars (from beginning to end). The greatest grow is in "Verify learning to take action within a lesson).

# data[].attributes.body
Just keep working hard, and be ready for next year.

# data[].attributes.body
There was a huge improvement from last year, especially in Data for Continuous improvement.

# data[].attributes.body
We increased in 4 pillars for Rigor 3 and stayed the same for Data For Continuous Improvement.

# data[].attributes.body
Overall, there appears to be an increase in scores for this school year.

# data[].attributes.body
I notice that we have improved in 5 pillars and one stayed the same

# data[].attributes.body
I noticed that we have consistently increased in each of the 5 pillars throughout this school year