Objective: Students with ADHD are often provided with an extended testing time accommodation due to various skill deficits. However, little empirical work has examined the ways in which students use their extra time, if at all, and how use relates to overall performance. Further understanding of how students use this accommodation in practice can…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Findings from recent studies suggest that students' pathways into mathematics-related careers begin as early as middle school when students are forming lasting self-perceptions of their academic abilities. Middle school is also a time when students begin making choices about future coursework in math, science, and technology that will have…

This study looks deeply inside 17 schools that stand at the vanguard of the current revolution in teaching. This new National Center on Time & Learning (NCTL) report reveals the substantive ways in which these schools are providing their teachers with more time to reflect on, develop, and hone their craft, by very explicitly leveraging an…