John Gargani

University of California, Santa Cruz (UC Santa Cruz), University of Texas, Austin

This project will test the efficacy of using agent-based simulation and visualization models to identify the factors that predict mathematics achievement for students from the 8th grade to the 12th grade and beyond. The team is using data that includes 14 years of data on student grade reports, coursework, demographics, teacher variables such as years of service, professional development courses taken, years of service, and other artifacts.