Making robust and reliable information about schools accessible is one of the most powerful ways to foster engagement and promote informed decisions that will shape our communities. Though education data is frequently collected and aggregated at the state level, data is rarely synthesized across cities. This report provides comparable information…

Six years after passage of No Child Left Behind and midway to the nation's goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

This paper presents the appendices to the "High-Stakes Testing and Student Achievement: Problems for the No Child Left Behind Act" report. It contains the following appendices: (1) Example of Context for Assessing State-Level Stakes Sheet--Connecticut; (2) Example of Completed Rewards and Sanctions Worksheet--Connecticut; (3) Directions…