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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...
Differentiation: How do I use data to adjust instruction for groups and individual students?
Educators need to translate data insights into instructional actions to harness the potential of student data. This guide will explore various data-informed instructional strategies and actions at the whole-group, small-group, and individual levels.
Periodic diagnostic process
West Belden utilizes NWEA assessments to determine students skills and groupings
6-8 Week Learning Groups
Students are assigned to learning groups for a 6-8 week cycle in addition to shorter term small groups.
Structured Data Analysis Reflection
Roots teachers make use of a data analysis reflection template to help them dissect the data they get from their mastery assessments.
Periodic Structured Data Review
LPS Navigate Math teachers have multiple data review structures.
Data Days
Valor provides staff with multiple days throughout the year to focus on student data.
Centralizing Procurement Information to Enable Decentralized Choices
Helping teachers and schools make effective technology procurement choices.
Lindsay High School
Lindsay High School serves all grade 9-12 students in Lindsay Unified Public Schools, a California district that uses a performance-based approach to personalized learning.
Roots Executive Director Discusses Flexible Instruction through Data Use
Roots ED and Founder, Jonathan Hanover, discusses how Roots uses data to create long term learning plans as well as adjust near-daily to inform groupings.Transcript: Jon Hanover: – one of the things that's really unique about our model is that we...