# data[].attributes.headline
START HERE:  The focus for the October ILC Coaching Block was Domain B.  Over the course of the next month, determine how you are supporting Domain B as an instructional coach.  Click "Add comment" under the standards where you've experienced that standard and let us all know how  you've supported it.  This is a way to learn and grow from each other!  The yellow standards are what we specifically targeted in October.  The white standards are areas for consideration with your LLT.

# data[].attributes.subject
START HERE:  The focus for the October ILC Coaching Block was Domain B.  Over the course of the next month, determine how you are supporting Domain B as an instructional coach.  Click "Add comment" under the standards where you've experienced that standard and let us all know how  you've supported it.  This is a way to learn and grow from each other!  The yellow standards are what we specifically targeted in October.  The white standards are areas for consideration with your LLT.

# data[].attributes.headline
1.  Determine appropriate area of focus based on observational data aligned to goals (e.g. school goals, coaching goals, learning goals, teacher goals).

# data[].attributes.subject
1.  Determine appropriate area of focus based on observational data aligned to goals (e.g. school goals, coaching goals, learning goals, teacher goals).

# data[].attributes.headline
2.  Identify and apply appropriate student progress monitoring instruments and assist with data analysis after students are assessed.

# data[].attributes.subject
2.  Identify and apply appropriate student progress monitoring instruments and assist with data analysis after students are assessed.

# data[].attributes.headline
3.  Evaluate data in addressing specific goals.

# data[].attributes.subject
3.  Evaluate data in addressing specific goals.

# data[].attributes.headline
4.  Identify and apply appropriate data collection methods that assist colleagues in developing action plans.

# data[].attributes.subject
4.  Identify and apply appropriate data collection methods that assist colleagues in developing action plans.

# data[].attributes.headline
5.  Identify and apply appropriate data collection methods that measure the effectiveness of professional learning.

# data[].attributes.subject
5.  Identify and apply appropriate data collection methods that measure the effectiveness of professional learning.

# data[].attributes.headline
6.  Observe classroom instruction and active student engagement to collect data that informs the analysis of teaching and learning.

# data[].attributes.subject
6.  Observe classroom instruction and active student engagement to collect data that informs the analysis of teaching and learning.

# data[].attributes.headline
10.  Analyze and evaluate school, teacher and student outcomes to determine follow-up actions.

# data[].attributes.subject
10.  Analyze and evaluate school, teacher and student outcomes to determine follow-up actions.

# data[].attributes.headline
8.  Collaborate with administration, instructional leaders and teachers to develop a professional learning action plan that is informed by data analysis.

# data[].attributes.subject
8.  Collaborate with administration, instructional leaders and teachers to develop a professional learning action plan that is informed by data analysis.

# data[].attributes.headline
7.  Analyze and interpret data to identify trends and patterns.

# data[].attributes.subject
7.  Analyze and interpret data to identify trends and patterns.

# data[].attributes.headline
9.  Facilitate the implementation of an action plan based on data analysis.

# data[].attributes.subject
9.  Facilitate the implementation of an action plan based on data analysis.

# data[].attributes.headline
In PLC's we are identifying standards students struggle with and tracking them throughout our units.   In the past, we have tracked summative data and planned instruction based on this data.  This year we are using formative data and adjusting instruction prior to the summative.  We are using GradeCAM to identify these standards and track them. 

# data[].attributes.subject
In PLC's we are identifying standards students struggle with and tracking them throughout our units.   In the past, we have tracked summative data and planned instruction based on this data.  This year we are using formative data and adjusting instruction prior to the summative.  We are using GradeCAM to identify these standards and track them. 