K12 Data Working Group
State K12 school district performance, finance and staff data are turned in to state offices as part of state and federal compliance requirements. As a result, the school district data reporting is sent annually (Covid-19 is interrupting this) to state departments of education, generally in files with identical rows and columns for each district. Similarly, for states with Statewide Longitudinal Data Systems (SLDS) there is a great wealth of data on individual students. However, in neither case are these data routinely combined for “big-data” analyses to determine patterns of success and failure related to student performance or to detect racial, cultural and personal bias in schools. NLET’s position is that state K12 data should be analyzed both as patterned big data that can be machine analyzed so that these data can also be comparative at the level of districts comparing “like” districts to determine successful and problematic equity practice and patterns. NLET has run county-wide pilots in California where comparative data was provided to 44 districts and 8 charter systems. NLET has a partner data solution company that can provide such comparisons on a state level. For more information, contact Gordon.Freedman@NLET.org.