The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…

Using eight waves of longitudinal data on a statewide kindergarten cohort of English learners (ELs), I examined ELs' tenure in language-learning programs and their academic performance following reclassification as fluent English proficient. I employed discrete-time survival analysis to estimate the average time to and grade of reclassification…

The educational achievement and attainment of young people in the United States has been a long-standing issue of concern. While analyses of long-term trend data from the National Assessment of Educational Progress (NAEP) show that students in the United States have made gains in reading and mathematics over the past few decades, a sizeable…