# data[].attributes.body
Data is used to Drive PLC discussions and help us target specific needs for the students and teachers.

# data[].attributes.headline
One of the ways we use data is to determine what standards need to be retaught after an assessment. We also use data to create small groups for targeted instruction.

# data[].attributes.subject
One of the ways we use data is to determine what standards need to be retaught after an assessment. We also use data to create small groups for targeted instruction.

# data[].attributes.body
At Meadowbrook MS we use qualitative and quantitative data to drive all decisions. We have a leadership team of 19 members who collect data for their department and hold monthly data chat meetings. Data is also discussed and analyzed in our collaborative common planning meetings and is utilized to create next- steps. We hold quarterly "Stop Everything and Chat" school-wide data chats with our students. Each student receives an email with FSA, iReady, and common assessment data in core classes. Teachers receive a guided script on how to guide the data chats. The day ends with students creating their own data-driven goals and next steps to either maintain or grow in proficiency.

# data[].attributes.body
We have content coaches as well as an instructional coach.  We use teacher data to determine coaching cycles an determine which coach teachers will be working with. Data is all used to determine what students need additional support from a coach.

# data[].attributes.headline
Our school uses date to help teachers plan small group reteach lessons to help close the achievement gap.

# data[].attributes.subject
Our school uses date to help teachers plan small group reteach lessons to help close the achievement gap.

# data[].attributes.headline
Data is collected to determine the area of student needs, from there we see how we can support teachers related to those needs in supporting best practices/strategies that can be used through instruction. 

# data[].attributes.subject
Data is collected to determine the area of student needs, from there we see how we can support teachers related to those needs in supporting best practices/strategies that can be used through instruction. 

# data[].attributes.body
We definitely use data to create next steps for PLC's, PD's, Coaching Cycles, and DP Guidance.

# data[].attributes.body
Data is used with our teachers to create smart goals, set up small groups, to determine what class periods may need additional support and to help teachers improve their engagement and monitoring strategies to create upward change.

# data[].attributes.headline
At my school we have 3 coaches (math, reading, and instructional who supports all our new teachers) who conduct the coaching walkthroughs. We do these weekly and use the data to determine what elements our teachers are struggling most with. THen we create PD's to help our teachers with these areas.

# data[].attributes.subject
At my school we have 3 coaches (math, reading, and instructional who supports all our new teachers) who conduct the coaching walkthroughs. We do these weekly and use the data to determine what elements our teachers are struggling most with. THen we create PD's to help our teachers with these areas.

# data[].attributes.body
Currently I utilize data in many different ways. I use observational data to focus areas of concern in my PLCs; I use student data to help teachers plan for review content and centers, as well as how to form their small groups; and lastly I use data to build focus pull-out groups for additional support.

# data[].attributes.headline
Data is collected by a "Walk-through" google form. We have questions that are answered about  technology used, small group instruction, whole group standards based instruction, and scaffolding. We review the data collected from those observations to guide the following weeks goal and focus. Also taking a look at common assessemnts, and utilizing those during PLC's to discuss questions, and help guide daily instruction. 

# data[].attributes.subject
Data is collected by a "Walk-through" google form. We have questions that are answered about  technology used, small group instruction, whole group standards based instruction, and scaffolding. We review the data collected from those observations to guide the following weeks goal and focus. Also taking a look at common assessemnts, and utilizing those during PLC's to discuss questions, and help guide daily instruction. 

# data[].attributes.headline
Data drives everything..Common planning, how we reteach and approach the next unit.  It aides in helping us pinpoint areas of improvement and areas of success.

# data[].attributes.subject
Data drives everything..Common planning, how we reteach and approach the next unit.  It aides in helping us pinpoint areas of improvement and areas of success.

# data[].attributes.body
Data is used to inform interventions for the MTSS process. Data is used during common planning to drive instruction.

# data[].attributes.body
Use the data in PLC to strategically plan for targeted individual student needs.

# data[].attributes.body
We use data to determine what PDs may be useful to teachers to help impact student achievement.

# data[].attributes.headline
We triangulated our school data to form our intervention groups.  We were able to target specific needs to address learning deficits. 

# data[].attributes.subject
We triangulated our school data to form our intervention groups.  We were able to target specific needs to address learning deficits. 

# data[].attributes.headline
I use data to determine the needs of students and the areas of improvement for my teams.

# data[].attributes.subject
I use data to determine the needs of students and the areas of improvement for my teams.

# data[].attributes.headline
At my school, we have been using data to assist students that are almost at the threshold of meeting proficiency within a given standard/unit. We target these students by class period and work with Interventionist/Teachers to support these students in small group rotations.  

# data[].attributes.subject
At my school, we have been using data to assist students that are almost at the threshold of meeting proficiency within a given standard/unit. We target these students by class period and work with Interventionist/Teachers to support these students in small group rotations.  

# data[].attributes.body
We use data for nearly everything...
To drive instruction in classrooms
To analyze school and grade level trends
To see what teacher needs are
To group students into extra hour and small group

# data[].attributes.headline
We use data to make groups, determine student needs, establish growth opportunities for teachers, and drive our coaching focus.

# data[].attributes.subject
We use data to make groups, determine student needs, establish growth opportunities for teachers, and drive our coaching focus.

# data[].attributes.body
Data will be used to plan for differentiated instruction, reteaching, and acceleration.

# data[].attributes.headline
data is used for all decisions- PD and PLC;s, focus on class walkthroughs, coaching convos

# data[].attributes.subject
data is used for all decisions- PD and PLC;s, focus on class walkthroughs, coaching convos

# data[].attributes.headline
base line data used to establish extended hour groups that focus on specific deficit skills - common assessment data used to guide small group instruction for remediation/enhancement

# data[].attributes.subject
base line data used to establish extended hour groups that focus on specific deficit skills - common assessment data used to guide small group instruction for remediation/enhancement

# data[].attributes.body
I meet with teachers and look at the CRM assessment data, iReady, or BEST data to set goals for their student achievement.

# data[].attributes.headline
I use data in a variety of ways. From teacher check-list on a daily basis instruction to common assessment data, iReady, FAST, etc. and my coach observations. I like to have different data points to compare and facilitate the discussion to determine what areas need to be improved or worked on. 

# data[].attributes.subject
I use data in a variety of ways. From teacher check-list on a daily basis instruction to common assessment data, iReady, FAST, etc. and my coach observations. I like to have different data points to compare and facilitate the discussion to determine what areas need to be improved or worked on. 

# data[].attributes.body
Data based decision making is used during the coaching cycle. Data is collected during an observation, and the data is analyzed and discussed with the coach and the teacher to identify strengths, areas of improvement, and it helps to inform future needs and instruction.

# data[].attributes.body
I use data to drive my common planning and help teachers with strategies to teach and reteach.

# data[].attributes.body
Some ways that we currently utilize data-based decision making in the coaching cycle is to look for areas of need, to look at standards based data to guide instruction, and to look for trends in the data.