Projecting Student Enrollment

Using GAMMs for flexible estimation


An open community for education data analysts.

R Training

Train your team in R with exactly the content you need, and none of the stuff you don't.

Delivery of State-provided Predictive Analytics to Schools: Wisconsin's DEWS and the Proposed EWIMS Dashboard

Concept paper on how to leverage predictive models to improve the feedback and function of the statewide dashboard and education information system.

The Effect of English Language Learner Reclassification on Student ACT Scores, High School Graduation, and Postsecondary Enrollment: Regression Discontinuity Evidence from Wisconsin

A RD study of ELL student reclassification and its effect on future outcomes.

Education Early Warning Systems

The Wisconsin Dropout Early Warning System I co-developed the award-winning Wisconsin Dropout Early Warning System (DEWS) during my time working at the Wisconsin Department of Public Instruction. DEWS is a machine-learning application built on the state longitudinal data system at DPI. It uses hundreds of thousands of records that are mandated to be submitted to the department for various accountability and reporting purposes, analyzes them, and return to schools a prediction of on-time high school graduation for their students in grades 5-9.

Of Needles and Haystacks: Building an Accurate Statewide Dropout Early Warning System in Wisconsin

A how-to on developing an early warning system at scale used by educators.

School Boards and the Democratic Promise

A doctoral thesis examining the democratic nature of school board elections in Wisconsin.