Created by the Educational Leadership Research Center (ELRC) at Texas A&M University, this software as a service generates student STAAR test score predictions that enables users to make informed decisions during critical time periods between benchmark tests and official STAAR tests.

With the predictions computed by the District School Performance Predictor's (DSPP) machine learning model, user’s can better determine which core subject areas their school needs improvement in, which specific students need help, estimate how far a student is to the next Texas Education Agency (TEA) performance level, and provide an advanced way to numerically assure parents their children are being prepared for the next grade level.

To utilize this service start by registering an account and then proceeding to the How to Create an Information File.

For more information regarding this website, please visit the links below.