Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…

Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…

In the United States, education policy calls for every student to graduate from high school prepared for college and a career. National legislation has mandated programs of study (POS), which offer aligned course sequences spanning secondary and postsecondary education, blending standards-based academic and career and technical education (CTE)…

Recent methods to improve generalizations from nonrandom samples typically invoke assumptions such as the strong ignorability of sample selection, which is challenging to meet in practice. Although researchers acknowledge the difficulty in meeting this assumption, point estimates are still provided and used without considering alternative…

A particularly controversial topic in current education policy is the expansion of the charter school sector. This paper analyzes the spillover effects of charter schools on traditional public school (TPS) students in New York City. I exploit variation in both the timing of charter school entry and distance to the nearest charter school to obtain…

This study provides the first estimates of the causal impact of education on hospitalization. It improves upon existing studies on health and education by using a larger data set and more efficient estimation methods. Using a Danish school reform to identify a causal effect of education on hospitalization, we find that education has a substantial…

We study a set of programs implemented in Philadelphia high schools that focus on boosting high school graduation, and especially college attendance, using data from the Philadelphia Educational Longitudinal Study (PELS). We examine the effects of these programs on a set of schooling-related outcomes during and after high school. The PELS data-set…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…