California and the nation are at the crossroads of a major shift in school accountability policy. At the state level, California’s Local Control Funding Formula (LCFF) and Local Control and Accountability Plan (LCAP) process encourage the use of multiple measures of school performance used locally to support continuous improvement and strategic resource allocation. Similarly, the federal Every Student Succeeds Act (ESSA) reinforces this local control, requiring more comprehensive assessment of school performance and a less prescriptive, local approach to school support. Calls for “continuous improvement” in California’s K-12 education system are central to current discussions about school improvement in the state. Yet, definitions of continuous improvement vary, and knowledge of what continuous improvement looks like in practice is limited. To advance the conversation, this project seeks to define continuous improvement both in theory and in practice and support continuous improvement at all levels of the system.
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.