# data[].attributes.body
DTs really diving in and working with targets, success criteria, and creating tasks aligned with targets.  Conversations are more intentional regarding how to measure success criteria and what is needed as evidence to really demonstrate these success criteria.  Lots of questions regarding monitoring and tracking and when to do which.

# data[].attributes.body
I am so proud of all of my PLC facilitators. AI's and team members. Attacking this work and wrestling the alligator is not something anyone has balked at yet. Our PLC culture in the four teams I work with has been unparalleled and I am so encouraged and excited by what is to come!

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Schwendau
Our data team is having deeper conversations about meaningful tasks that will meet out success criteria.  We are staying more focused and working to make the scales stronger.  Tracking has been good some days and not so good on other days.  I need to remember to keep moving and write things down.

# data[].attributes.body
-I think that our data team is struggling.  I think we are in the mindset that we were in last year with going from the target and then right to the task.  We are also in a transition phase I believe because we have new people and how that is going to look this year.
- Still trying to fully understand the success criteria and especially not having too much in it
- Tracking is something that I keep having to remind myself to do.  When I am doing it the students are asking questions about how they can make sure they are reaching the target.

# data[].attributes.body
We have finally come together to understand success criteria, but we cannot put together a task yet. Data Team conversation still seems awkward and nobody really knows what to tackle when. We are trying to grasp all of the new ideas just haven't gelled yet. However, I love hearing from other departments and data teams as we learn about this entire process. Sharing is caring.

# data[].attributes.body
Positive and open-minded conversations about being part of data teams and SRG in the BD/ID/ASL worlds. Things have clicked for some and ball starting to roll--hard to grasp so many new changes at first!

# data[].attributes.body
I have thoroughly enjoyed watching teachers grapple with the creation and dissemination of success criteria. Also, it has been interesting to see the wild fire of ideas spreading throughout the building when it comes to monitoring said success criteria. What I'm looking forward to is being part of the creation and utilization of meaningful/rigorous tasks that encompass several learning targets.

# data[].attributes.body
There has been a lot of good discussion in our data team about how to incorporate Marzzano in the BD/ASL and ID rooms.  It is leading to some great conversations.  It is nice to see teachers all around the building taking risks.

# data[].attributes.body
I'm enjoying being a part of learning something new with this staff.

# data[].attributes.body
-Tracking is rocking my world... Sometimes I think I'm over-tracking and sometimes I think I'm under-tracking
-DT seems to be getting the hang of success criteria and learning targets, but I think we need to talk more about how we are planning to teach learning targets
-Students seem to like having the ability to track their progress
-Students' responsibility and work ethic concern me--I feel like these are such important skills, but I am at a loss for how to teach this or create accountability due to the magnitude of need

# data[].attributes.body
I have been happy with the training and first day of C4I training. The more conversation I have had around this with their people the more confident I feel that it is where we want to go. It will be a process but a necessary process to change the way we do things. There has been a lot of positive verification and learning opportunity. Our "issues" in the classroom are becoming more clear to me and they are very fixable. When all said and done the students will work much harder than the teacher.

# data[].attributes.body
Data teams are going relatively well, the main struggle is that we are so day-to-day right now because it's all new, which can be frustrating when we want to plan ahead. Trying to blend old terminology with new can also be challenging.

# data[].attributes.body
Alyssa and I have been working our best to try and work ahead to determine success criteria for our unit standards.

I've had a few of my best days in a long time with teaching because this process 'forced' me to slow down and think about the process students need to go through in order to actually learn the skills the standards ask them to know.

Now, it's about finding the right tempo and providing tasks for my students on a more individualized level.

# data[].attributes.body
Data teams are having good conversations on what success criteria really looks like, and working the process of target->success->task

Haven't sat in on any classes to see how monitoring is happening but have heard more conversation on how to do it and the difference between tracking and monitoring.

There's some struggle with inconsistency of how to word success criteria; finding the common language

# data[].attributes.body
We finally understand success criteria sort of in Pre-Calc.
We are still struggling with finding a balance between monitoring and tracking each day.
Conversations are more student centered and trying to get to tasks where students are doing most of the work, but struggle with lack of prior knowledge.

# data[].attributes.body
There is a lot of talk in our Data Teams connected to our LSI Training from Aug 22. Teachers are using their LT's to build success criteria for students. I think they are stretching through the struggle of what exactly that looks like in our classrooms.

I do see a need for additional professional development and feedback to help teachers feel more comfortable with the process.

# data[].attributes.body
*Data team is struggling with how success criteria should look within the classroom.  We are also struggling with how to combine the "process" of last year with the "process" of this year.
* Wish we had the tracker ready to go.
* Curious about how assessments will change in the future.
*Trying to stay positive about teaching freshmen how to be autonomous.
*Feels like our own targets and expectations are constantly changing. Trying to stay out of the mindset of "what I did last year worked."

# data[].attributes.body
*Data Teams are grappling with Success Criteria and are now pushing into (more meaningful) Task Creation.
*I'm excited to complete classroom observations tomorrow with the LSI team.