# data[].attributes.headline
Analysis of student work - making sure that the tasks we ask students to engage in are rigorous and aligned to the standards, then having shared discussion about student performance on tasks and using that information to plan next steps.

# data[].attributes.subject
Analysis of student work - making sure that the tasks we ask students to engage in are rigorous and aligned to the standards, then having shared discussion about student performance on tasks and using that information to plan next steps.

# data[].attributes.headline
Honest discussions with PLC's regarding teacher strengths and weaknesses. Get ego out of the way.

# data[].attributes.subject
Honest discussions with PLC's regarding teacher strengths and weaknesses. Get ego out of the way.

# data[].attributes.headline
We look are every child as a puzzle with several pieces. MAP, Reading 3D, Common Assessments, Grades, Teacher in put, Parent In put -- no piece of data is necessarily more important, however all input, data and conversation matters for the success of each child.

# data[].attributes.subject
We look are every child as a puzzle with several pieces. MAP, Reading 3D, Common Assessments, Grades, Teacher in put, Parent In put -- no piece of data is necessarily more important, however all input, data and conversation matters for the success of each child.

# data[].attributes.headline
Classroom assessment data, especially intervention data for students who are in the MTSS process.  The information is skill specific and frequent enough to give really good information on how the student is progressing.

# data[].attributes.subject
Classroom assessment data, especially intervention data for students who are in the MTSS process.  The information is skill specific and frequent enough to give really good information on how the student is progressing.

# data[].attributes.headline
Mentor two ACT students with deficiencies in subtest areas...we have an after school strategies session and other resources

# data[].attributes.subject
Mentor two ACT students with deficiencies in subtest areas...we have an after school strategies session and other resources

# data[].attributes.headline
We also create comparison reports with mClass & MAP to find correlations with students, teachers. This helps use target small groups who are in need of same supports

# data[].attributes.subject
We also create comparison reports with mClass & MAP to find correlations with students, teachers. This helps use target small groups who are in need of same supports

# data[].attributes.headline
I routinely use the reports from Mclass/Reading 3D to look at specific students reading levels to prompt conversations with teachers during MTSS meetings.

# data[].attributes.subject
I routinely use the reports from Mclass/Reading 3D to look at specific students reading levels to prompt conversations with teachers during MTSS meetings.

# data[].attributes.headline
Teachers and students alike use pre assessment data from common assessments to determine where each child is in the mastery of a standard.  Teachers provide differentiation based on this data and students make instructional choices based on their data.

# data[].attributes.subject
Teachers and students alike use pre assessment data from common assessments to determine where each child is in the mastery of a standard.  Teachers provide differentiation based on this data and students make instructional choices based on their data.

# data[].attributes.body
Use check-points along the way to make sure that students are not falling through the cracks. Talk about kids and improvement- not that they are "unmotivated"

# data[].attributes.headline
Working with school based mental health to collect data to support student to get needed services outside of school.

# data[].attributes.subject
Working with school based mental health to collect data to support student to get needed services outside of school.

# data[].attributes.headline
Using exit tickets to understand student skill mastery in real time

# data[].attributes.subject
Using exit tickets to understand student skill mastery in real time

# data[].attributes.body
Monitor frequency and reasons for absences and tardies

# data[].attributes.body
There is data chat at the start of each planning session. Teachers look at their students' work and performance and collaborate on what worked. They develop and model ideas to help remediate skills.

# data[].attributes.headline
Use at least three reliable data sources to get a well rounded view of each child. Do the "leading data indicators (MAP, TRC) correlate with the teacher/grade level common interim assessments

# data[].attributes.subject
Use at least three reliable data sources to get a well rounded view of each child. Do the "leading data indicators (MAP, TRC) correlate with the teacher/grade level common interim assessments

# data[].attributes.headline
Making data "prescriptions" in half day data planning after cycle assessments

# data[].attributes.subject
Making data "prescriptions" in half day data planning after cycle assessments

# data[].attributes.body
*Attendance Secretary/teacher notice the excessive absences *Counselor gets involved to talk with parent to assess any pertinent needs
*Appropriate letters are sent home
*Chronic absences may result in scholars being involved in  the attendance program
*Counselors oversee the program as scholars come to their weekly meetings, receive education on the importance of being present and on time, they monitor these scholars closely, celebration is conducted at the end of the month for participants who do well in the program

# data[].attributes.headline
To determine what skills have been mastered and skills for improvement.  Students are grouped based on their data during AE or Encore time.

# data[].attributes.subject
To determine what skills have been mastered and skills for improvement.  Students are grouped based on their data during AE or Encore time.

# data[].attributes.headline
Mobility report from Navigator to identify students at-risk. Our school had a pass rate of under 50% pass rate for students who enrolled after the start of school. 

# data[].attributes.subject
Mobility report from Navigator to identify students at-risk. Our school had a pass rate of under 50% pass rate for students who enrolled after the start of school. 

# data[].attributes.headline
1. Look at progress report data at midterm to determine which students are below mastery to support, work with student and teacher on a plan to support students. 2.SSM meeting with senior teachers and counselors every Monday to identify students off track and create a plan of action with student input

# data[].attributes.subject
1. Look at progress report data at midterm to determine which students are below mastery to support, work with student and teacher on a plan to support students. 2.SSM meeting with senior teachers and counselors every Monday to identify students off track and create a plan of action with student input

# data[].attributes.body
3. Educators handbook to track chronic discipline i

# data[].attributes.body
To drive weekly PLC conversations and conferences with individual teachers

# data[].attributes.headline
Working with EC staff to collect MTSS data to support 5th grader before he leaves for middle school!

# data[].attributes.subject
Working with EC staff to collect MTSS data to support 5th grader before he leaves for middle school!

# data[].attributes.headline
We analyze the data point, share it with the child and then create action steps to improve on that standard or goal. 

# data[].attributes.subject
We analyze the data point, share it with the child and then create action steps to improve on that standard or goal. 

# data[].attributes.body
Make sure to look at a variety of data points to really understand a student and their progress. Common assessments, MAP, individual assessments, etc. all play in to telling that child's story.

# data[].attributes.body
Teachers bring data to share and discuss how to meet individual student needs. Facilitators and Administration are at the table.
Weekly student conversations regarding what is going on in their lives discussed at Village Meetings. (absenteeism, family issues, parent issues)

# data[].attributes.body
Consistent use of common assessments and re teaching/enrichment spread amongst all team members; Twice per week exit tickets used for small group and individual instruction based on targeted standards

# data[].attributes.headline
Looking at strengths of student and natural motivators to consider all options on creating path for success.

# data[].attributes.subject
Looking at strengths of student and natural motivators to consider all options on creating path for success.

# data[].attributes.headline
1. Use multiple sources of data to fully understand the needs of each student. 

# data[].attributes.subject
1. Use multiple sources of data to fully understand the needs of each student. 

# data[].attributes.body
2. Ask and answer probing questions to determine the root cause of the challenge.
3. Align interventions and supports to address the need.
4. Progress monitor to evaluate effectiveness.

# data[].attributes.headline
to see patterns and trends that help me pinpoint a students needs and how we can better support them

# data[].attributes.subject
to see patterns and trends that help me pinpoint a students needs and how we can better support them

# data[].attributes.body
By putting all data for a child in one place, we can use different data points to focus down to specific skills/needs.

# data[].attributes.body
To celebrate their efforts and create short term goals

# data[].attributes.headline
Drilling down to the individual student:

# data[].attributes.subject
Drilling down to the individual student:

# data[].attributes.body
1.  Using Interim Assessment data, teachers and instructional leaders drill down to the students based on the standards that have been taught.
2.  Students not mastering specific standards are re-taught during a specific time of day when no new teaching occurs (only remediation and enrichment)
3.  Students are re-assessed on the standards to ensure mastery.
4.  We are able to look at a student across all standards that are taught and determine level of mastery based on the interim assessment and following the re-teach.
5.  Students not making growth are provided interventions to support the the lowest area of need.

# data[].attributes.body
Must find out the exact standard they have not mastered. Easily identified but must accept the challenge to create time to reloop so they don't fall through the cracks.

# data[].attributes.headline
Think of the students you "brought" with you today.  How do you use data to grow these children?

# data[].attributes.subject
Think of the students you "brought" with you today.  How do you use data to grow these children?

# data[].attributes.headline
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# data[].attributes.subject
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