Under emerging policy structures in California, the responsibility for school improvement is increasingly placed upon local school districts, with County Offices of Education (COEs) playing a critical support role. In this system, districts are responsible for school improvement, with counties in charge of ensuring quality across districts and providing feedback and support where necessary. Underlying this major policy shift is the idea that local leaders are in the best position to drive real educational improvement and ensure quality across multiple schools and contexts.
Experts agree that effective data use is critical for continuous improvement. However, there is a lack of understanding statewide about how data use for continuous improvement, with its adaptive and iterative nature, differs from data use for other purposes. In this paper, the authors discuss what data are most useful to inform continuous improvement at all levels of the system and provide a case study of how the CORE data collaborative uses a multiple-measures approach to support decision-making.