# data[].attributes.body
Objectively and succinctly summarizes the data and her personal observations ans home connections.

# data[].attributes.body
She had a lot of data to back up what she was saying. She even dug into personal information  to look into the reason why grades were dropping

# data[].attributes.body
Summarizing and clarifying data

# data[].attributes.headline
The teacher was able to give evidence of the student's progress over an extended period of time.  

# data[].attributes.subject
The teacher was able to give evidence of the student's progress over an extended period of time.  

# data[].attributes.body
All of her information was objective and data driven.  She didn't report "feelings"...only data.

# data[].attributes.headline
Q1 She was organized and well-prepared.  She had data including dates and background information.

# data[].attributes.subject
Q1 She was organized and well-prepared.  She had data including dates and background information.

# data[].attributes.headline
She offered positives comments on the student as well as back up data to understand where the student was

# data[].attributes.subject
She offered positives comments on the student as well as back up data to understand where the student was

# data[].attributes.body
She did a great job of presenting academic data from the classroom but also noticing the student as an individual and seeing that something was going on. She made the extra effort to contact home and make sure there was nothing going on there before going any further.

# data[].attributes.headline
Not only did she rely on data (not her 'feelings') to support her hypothesis, but she also discussed outside influences such as medication and family scenarios. 

# data[].attributes.subject
Not only did she rely on data (not her 'feelings') to support her hypothesis, but she also discussed outside influences such as medication and family scenarios. 

# data[].attributes.headline
She was ready with multiple data points on the students academics, but she also noticed non academic areas things that could be causing him to regress in academics.

# data[].attributes.subject
She was ready with multiple data points on the students academics, but she also noticed non academic areas things that could be causing him to regress in academics.

# data[].attributes.body
She remained focused about the student's academic strengths and weaknesses, but then also revealed environmental factors that could be related. She didn't draw and conclusions- just summarized performance.

# data[].attributes.body
Great data! She had many different forms of data. Very specific details pertaining to child's reading skills.

# data[].attributes.headline
Q1 She has a lot of evidence to back up her hypothesis. 

# data[].attributes.subject
Q1 She has a lot of evidence to back up her hypothesis. 

# data[].attributes.headline
Had data about academic testing as well as digging on her own with personal issues. Was able to find a medication change. Response would be- what interventions have you tried with the work completion, grade drops? Testing data seems to support he is learning. 

# data[].attributes.subject
Had data about academic testing as well as digging on her own with personal issues. Was able to find a medication change. Response would be- what interventions have you tried with the work completion, grade drops? Testing data seems to support he is learning. 

# data[].attributes.headline
She is very organized and has lots of evidence to back up what she's saying. It is observation plus data.

# data[].attributes.subject
She is very organized and has lots of evidence to back up what she's saying. It is observation plus data.

# data[].attributes.body
She is very organized, knowledgeable, descriptive, and notices the small things to infer the measurements of where the student was, is, could be.

# data[].attributes.body
She monitored the data in order to track his progress (or lack thereof), while also getting to know him on a more personal level.

# data[].attributes.body
The teacher was well-prepared and backed up her initial discussion with measured student outcomes.  She was very careful with her mere hypothetic suggestions.

# data[].attributes.body
.....with more data.

# data[].attributes.headline
She had lots of data to back her claims.

# data[].attributes.subject
She had lots of data to back her claims.

# data[].attributes.body
The teacher used data about her student to find a solution to the student's problem.

# data[].attributes.body
quickly gave a overview of data for all to process then gave little personal information on child.

# data[].attributes.headline
She has an enormous amount of data about this student and cited possible causes of the changes in student performance

# data[].attributes.subject
She has an enormous amount of data about this student and cited possible causes of the changes in student performance

# data[].attributes.headline
Evidence of building relationships with students. 

# data[].attributes.subject
Evidence of building relationships with students. 

# data[].attributes.headline
She was consistent and followed up on the different areas in his life. For example:  medication, home life, etc...

# data[].attributes.subject
She was consistent and followed up on the different areas in his life. For example:  medication, home life, etc...

# data[].attributes.body
She knew her student.

# data[].attributes.body
She had current and prior data and uses many examples.

# data[].attributes.body
Used data to defend statements.

# data[].attributes.body
She had a lot of data to support what she was saying about the student.

# data[].attributes.headline
She had specific and detailed data. She also looks at external factors that could be influencing what is going on.

# data[].attributes.subject
She had specific and detailed data. She also looks at external factors that could be influencing what is going on.

# data[].attributes.headline
She is well prepared for the meeting in regards to speaking about a student's particular ability...lots of data

# data[].attributes.subject
She is well prepared for the meeting in regards to speaking about a student's particular ability...lots of data

# data[].attributes.body
Draws comparison from both the students behavior along with the data. She has the material to back up any findings. Has a rich knowledge about the student and their particular behaviors

# data[].attributes.headline
She prepared herself before she got there, and really spent time looking at the kid's history and present level. 

# data[].attributes.subject
She prepared herself before she got there, and really spent time looking at the kid's history and present level. 

# data[].attributes.body
This teacher was prepared with specific data to discuss her student's strengths and weaknesses.  Not only did she offer the information, but used it to synthesize a couple of hypotheses to improve his performance.

As a team leader I would praise her preparedness, and encourage the initiative she showed in synthesizing the data.

# data[].attributes.body
I would say she was well prepared and has excellent data. I would want to know how she plans to help this student. Is there an action plan?

# data[].attributes.body
She had data/info from past and present

# data[].attributes.headline
Q1 - Lots of info in a quick amount of time. Knew her student well.

# data[].attributes.subject
Q1 - Lots of info in a quick amount of time. Knew her student well.

# data[].attributes.headline
She had specific examples that displayed growth (or not) to help determine the next step to take

# data[].attributes.subject
She had specific examples that displayed growth (or not) to help determine the next step to take

# data[].attributes.body
She used data, and also covered all areas, not just classroom behavior or performance.

# data[].attributes.headline
She used the data well, described the process involved in the acquiring the data, and she looked at positives and negatives. 

# data[].attributes.subject
She used the data well, described the process involved in the acquiring the data, and she looked at positives and negatives. 

# data[].attributes.headline
She looked at a wide range of factors including medication, outside living conditions, and also the content of teaching on areas that needed to be looked at to see if they could improve the learning of the student.

# data[].attributes.subject
She looked at a wide range of factors including medication, outside living conditions, and also the content of teaching on areas that needed to be looked at to see if they could improve the learning of the student.

# data[].attributes.body
I would ask, what are we not looking at.

# data[].attributes.body
She compared historic function and present performance. Expressed concern that went beyond the immediate group, but was in the best need of the student.

# data[].attributes.headline
She add accurate and sufficient data. I would respond to follow up with the counselor and suggest one on one time the help with monitoring and maybe alleviate some of the control of outside influences.  

# data[].attributes.subject
She add accurate and sufficient data. I would respond to follow up with the counselor and suggest one on one time the help with monitoring and maybe alleviate some of the control of outside influences.  

# data[].attributes.headline
I'm not sure what my response would be.  Perhaps ask her if she needs input from the team for strategies that she could use with the student?

# data[].attributes.subject
I'm not sure what my response would be.  Perhaps ask her if she needs input from the team for strategies that she could use with the student?

# data[].attributes.body
Had lots of data, both past and present.

# data[].attributes.body
What did she do well?
She walked everyone (briefly) through his baseline and past performance and provided context for the student's current place.

# data[].attributes.body
She included specific data on the student in order to assess the student's ability level.  Everything was very objective.

As a team leader, I would be impressed with her information and level of preparation in an attempt to work with the student.

# data[].attributes.headline
She hypothesizes about reasons for the student's regression.

# data[].attributes.subject
She hypothesizes about reasons for the student's regression.

# data[].attributes.body
She provided examples and data when she discusses her student.

As a team leader, I would say she was well prepared and she knows her student pretty well by bringing up personal facts about the student.

# data[].attributes.headline
She provides lots of background data on the student's ability level.  She is giving a good picture of where the student is and what strategies are working.  She also goes into other influences on the student outside of the classroom.   I would allow other teachers in the room to throw out other strategies that might help this student.

# data[].attributes.subject
She provides lots of background data on the student's ability level.  She is giving a good picture of where the student is and what strategies are working.  She also goes into other influences on the student outside of the classroom.   I would allow other teachers in the room to throw out other strategies that might help this student.

# data[].attributes.headline
She uses data over time to show student progress (or lack thereof).

# data[].attributes.subject
She uses data over time to show student progress (or lack thereof).

# data[].attributes.headline
She backs up her opinion with facts. She obviously has work with this student closely

# data[].attributes.subject
She backs up her opinion with facts. She obviously has work with this student closely

# data[].attributes.headline
Q1: What did she do well when describing her student?Q2: As a collaboration team leader what would be your response?

# data[].attributes.subject
Q1: What did she do well when describing her student?Q2: As a collaboration team leader what would be your response?

# data[].attributes.body
Q1: Explained the situation using actual evidence (scores...etc) and presented a hypothesis for what could be leading to the decreases.

Q2: Probably need to call to parents to see if they have noticed any similar changes at home since the medication change.

# data[].attributes.body
The teacher was very specific and had data/multiple resources to back up her ideas and concerns.

# data[].attributes.body
1. She uses data, references the baseline.
2. She summarizes "across the board we see that..."
3. References some personal hypothesis about his performance that it could be something outside of academics contributing to his issues in performance