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Team Collaboration: How do leaders build in time and team structures for data-driven instruction?
Personalization in classrooms requires broad, intentional use of data across schools and systems. This guide explores how leaders can foster effective data-driven instruction by setting aside time, creating structures, and offering supports needed...
ReNEW's Centralized Support for Teachers
ReNEW has dedicated resources at the network level to support blended and personalized instruction across schools.
Using Data to Identify Growth Areas for Staff at Cisco
Educators and administrators at Cisco communicate across grade levels to collaborate and use data to improve the educational experience for students.
Heterogeneous Teams
Students are assigned to heterogeneous teams for competitions and support.
Trailblazer's Professional Learning Communities
Trailblazer carves out weekly one-hour blocks for teachers to collaborate around student data analysis and action planning.
Common Data Practices
Teachers implement standardized data practices, allowing ongoing collaboration and team data analysis in professional learning communities.
Lovett's Teacher Planning Time
Through daily individual prep periods and an extended co-planning session each Friday, Lovett teachers work together to align curriculum, plan activities to engage students and use data to uncover areas where students need improvement.
Common Launch
While Navigate Math is a self-paced course, the class always opens with a common learning experience.
Class Competitions
To keep students on pace, teachers create a class competition that runs daily and by “unit.”
Collaborative Planning with Data
Teachers of the same grade and subject share a planning period and meet weekly to discuss student data and personalized instructional practices.
Locust Grove Data Talk Protocol
Locust Grove Middle School uses this protocol to analyze data and discuss among a team of teachers.