Data Learning Research Network
Santa Clara Unified School District
Innovation Idea
Create multiple data literacy modules targeted toward site administrators, Teachers on Special Assignment (TOSAs), grade-level teams, and other educators to support data inquiry cycles and empower school site leadership teams
Goals
Increase educator knowledge of local assessments, their purpose, and the interpretation of the results
Ensure educators are able to make explicit connections between classroom instruction and results of local assessments
Strategies
Leverage district-adopted data systems to support teachers in finding and interpreting data
Co-design data literacy modules with Teachers on Special Assignment (TOSAs) and teachers for elementary, middle, and high school levels, focused on getting to know students, data analysis, and progress monitoring using district’s data systems
Leverage MTSS expertise of TOSAs and teachers to provide an intervention lens
Deconstruct local assessments , as well as the ELA and Math curricula to identify primary standards
LEA Team:
Brad Stam, Chief of Academics and Innovation
Cameron Lewis, Director of Data, Assessment, and Accountability
Mark Matsumoto, Manager of Data, Assessment, and Accountability
Luis Calonje, Data, Assessment, and Accountability Technician