# data[].attributes.headline
How do we not pigeonhole teachers into these categories? Are these categories limiting?

# data[].attributes.subject
How do we not pigeonhole teachers into these categories? Are these categories limiting?

# data[].attributes.headline
Celebrate the work as you move along; highlight successes and examples

# data[].attributes.subject
Celebrate the work as you move along; highlight successes and examples

# data[].attributes.headline
need to be validated for reaching small goals

# data[].attributes.subject
need to be validated for reaching small goals

# data[].attributes.headline
Teachers need to work on their own implicit biases; if you skip this step and focus on implementation, results might not be as effective or longlasting

# data[].attributes.subject
Teachers need to work on their own implicit biases; if you skip this step and focus on implementation, results might not be as effective or longlasting

# data[].attributes.headline
needs to be ok for all teachers to be in the learning zone vs performance zone. 

# data[].attributes.subject
needs to be ok for all teachers to be in the learning zone vs performance zone. 

# data[].attributes.body
create lesson study groups / PLCs

# data[].attributes.headline
Share examples across content areas--all teachers need to feel included in this work, beyond humanities

# data[].attributes.subject
Share examples across content areas--all teachers need to feel included in this work, beyond humanities

# data[].attributes.headline
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.subject
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.headline
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.subject
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.headline
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.subject
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.headline
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.subject
gather student feedback on success of units. Do teachers see that these units make a difference for students?

# data[].attributes.headline
create lighthouse/lab classrooms to see it in action

# data[].attributes.subject
create lighthouse/lab classrooms to see it in action

# data[].attributes.body
inside and outside of the network of schools.... needs to feel accessible to all

# data[].attributes.headline
Include a range of teacher models; the superstar innovators may feel unattainable to laggards; may want to share with them examples from the early or late majority

# data[].attributes.subject
Include a range of teacher models; the superstar innovators may feel unattainable to laggards; may want to share with them examples from the early or late majority

# data[].attributes.headline
Need to establish why this is important/urgent--consider capturing student voices through a survey or panel and share with teachers

# data[].attributes.subject
Need to establish why this is important/urgent--consider capturing student voices through a survey or panel and share with teachers

# data[].attributes.headline
Begin training school administrators and leaders so that messages to teachers are consistent

# data[].attributes.subject
Begin training school administrators and leaders so that messages to teachers are consistent

# data[].attributes.headline
Can this group lead a mixed group of T's around this work?

# data[].attributes.subject
Can this group lead a mixed group of T's around this work?

# data[].attributes.headline
Use innovators and early adopters as models for early and late majority (e.g., peer observations, teacher panels, videotaping classes, sharing resources)

# data[].attributes.subject
Use innovators and early adopters as models for early and late majority (e.g., peer observations, teacher panels, videotaping classes, sharing resources)

# data[].attributes.headline
inquiry model for T's around this work just like we would do with S's

# data[].attributes.subject
inquiry model for T's around this work just like we would do with S's

# data[].attributes.headline
inquiry model for T around this work just like we expect for S's

# data[].attributes.subject
inquiry model for T around this work just like we expect for S's

# data[].attributes.headline
Even these teachers need to share their own stories

# data[].attributes.subject
Even these teachers need to share their own stories

# data[].attributes.headline
teachers need to share their own stories

# data[].attributes.subject
teachers need to share their own stories

# data[].attributes.headline
Teachers need to share their own stories

# data[].attributes.subject
Teachers need to share their own stories