# data[].attributes.body
The teacher in the video does a good job of being objective with identifying a problem. She shared specific, data-based, concerns with the team. There was not any complaining or any "I feel..." in the discussion. The fact that the teacher gave a HYPOTHESIS allows the team to begin brainstorming for supports and interventions that may help determine the best route for intervention.

# data[].attributes.body
Used data as well as investigating outside causes of student struggle.
Used multiple pieces of data to reflect student's struggles.

# data[].attributes.body
just the facts, Jack
looking at other factors, looking at whole student

# data[].attributes.headline
She is sticking with data and looking at the whole child. 

# data[].attributes.subject
She is sticking with data and looking at the whole child. 

# data[].attributes.body
The teacher brought the needed data in order to try and understand where the student was and the trends of where the student is going

# data[].attributes.headline
It wasn't subjective, data was supplied to back up her concerns.

# data[].attributes.subject
It wasn't subjective, data was supplied to back up her concerns.

# data[].attributes.body
She gives the data in a verbal format as well as a visual chart.  She discusses what he does well and what she has done in order to move him forward.  She gives background so the other teachers can see the whole picture of the kiddo before they try problem solving.

# data[].attributes.body
Brought data with her and had looked at it previously.
Indicated trends
Connection between test probes and running records
Mentioned positives and successes.
Gave examples of strategies she has used.
Hypothesis that are not academic related.
Has taken action with counselor and not making excuses, but acknowledging them as factors.

# data[].attributes.body
using data to build facts
using data to effectively define a "problem"
had multiple sources of data
tying that to student's overall effectiveness and some early types of interventions they have tried

# data[].attributes.body
Data indicates severe drops.  October data vs. december- same theme in hot and cold readings.  Across the board he is dropping.  Sight word list 'C'.  Hypotheses that are not instructionally related- decrease in completion and grades.  Nothing different at home, but had med change in Oct. Seeing counselor now

# data[].attributes.body
She refers back to the DATA! Everything is DATA based.

# data[].attributes.body
*data available-looks at whole child-not just academics--outside sources are recognized-SPOT ON!