Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

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…

This document details North Carolina's participation in Southern Regional Education Board (SREB) programs and services from December 2013 through November 2014. Appropriations from member states support SREB's core operations and general services. SREB leverages the long-standing commitment of member states to attract external funding for an array…

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…