Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

This study measured the impact of the "Fitness Improves Thinking in Kids" ("FITKids") afterschool program on the executive control (i.e., maintaining focus, performing multiple cognitive processes) and physical fitness of preadolescent students. The "FITKids" program was held at the University of Illinois' campus and…

Experimental evaluations that involve the educational system usually involve a hierarchical structure (students are nested within classrooms that are nested within schools, etc.). Concerns about contamination, where research subjects receive certain features of an intervention intended for subjects in a different experimental group, have often led…