This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…

Although graduate-educated engineers are essential for the professoriate, technological advancement, and the growth of the U.S. economy, there is concern about the shortage of future PhD-holding engineers pursuing careers in academia and industry. This shortage relates, in part, to high levels of attrition among engineering graduate students. It…

The study examines the perspectives of using the Desmos calculator of Algebra I students' conceptual understanding and procedural fluency to write, graph, and solve linear equations in Algebra I STAAR. While the students have continuously used technology for mathematics assessment, emergent bilingual students in South Texas still need help passing…

I use rich administrative data and several quasi-experiments in Texas to study which students benefit most from college grant aid and why. For "extensive-margin" students, grant aid causes enrollment in college, and therefore has potentially large benefits relative to these students' no-college counterfactual. In contrast,…

The purpose of this quantitative, non-experimental, causal-comparative study is to determine if there is a difference in the writing motivation of students with attention-deficit/hyperactivity disorder (ADHD) and students without ADHD in online college composition I courses. The study of writing motivation in relation to ADHD in online college…